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• Systems Theory and Simulation: Formal Approaches.- Kolmogorov Stream Ciphers.- Morphotronic System (Theory).- Knowledge Discovery in Databases Using Multivalued Array Algebra.- Local Space-Time Systems Simulation of Linear and Non-linear Retinal Processes.- Analytical Representation of Intrinsic Directionality in Retinal Cells.- Linear Complexity Measures for Multi-valued Cryptographic Data Streams by Application of the Rissanen Partial Realization Method.- A Software Implementation of the Rissanen Method for Partial Linear Systems Realization.- New Frontiers in the Validation of Simulation Models-Structural Dominance Analysis.- Optimizing the Hardware Usage of Parallel FSMs.- SynPSL: Behavioral Synthesis of PSL Assertions.- Learning Autonomous Helicopter Flight with Evolutionary Reinforcement Learning.- Designing Communication Space in Wireless Sensor Network Based on Relational Attempt.- Boundary Scan Security Enhancements for a Cryptographic Hardware.- Automated Design of Totally Self-Checking Sequential Circuits.- A General Purpouse Control System.- Computation and Simulation in Modelling Biological Systems.- On the First Exit Time Problem for a Gompertz-Type Tumor Growth.- A Neuronal Model with Excitatory and Inhibitory Inputs Governed by a Birth-Death Process.- Diffusion Processes Subject to Catastrophes.- Automatic System Identification of Tissue Abnormalities Based on 2D B-Mode Ultrasound Images.- Vision-An Essay from a Computational View Point.- On a Generalized Leaky Integrate-and-Fire Model for Single Neuron Activity.- Mathematical and Computational Modeling of Neurons and Neuronal Ensembles.- Intelligent Information Processing.- The Foldl Operator as a Coequalizer Using Coq.- Algorithm for Testing the Leibniz Algebra Structure.- Automatic Drusen Detection from Digital Retinal Images: AMD Prevention.- A Study of Extracting Knowledge from Guideline Documents.- Modelling Differential Structures in Proof Assistants: The Graded Case.- Vascular Landmark Detection in Retinal Images.- Web Applications: A Proposal to Improve Response Time and Its Application to MOODLE.- Functional Disambiguation Using the Syntactic Structures Algorithm for Each Functional Interpretation for Spanish Language.- On Similarity in Case-Based Reasoning for Structural Health Monitoring.- A Distributed System for Massive Generation of Synthetic Video Using GPUs.- Using a Rank Fusion Technique to Improve Shot Boundary Detection Effectiveness.- Step-Guided Clinical Workflow Fulfilment Measure for Clinical Guidelines.- Debugging and Verification of Multi-Agent Systems.- Easing the Definition of N-Ary Relations for Supporting Spatio-Temporal Models in OWL.- Applied Formal Verification.- Separation of Transitions, Actions, and Exceptions in Model-Based Testing.- Automatic Test Generation for Coverage Analysis Using CBMC.- Self-healing Assurance Based on Bounded Model Checking.- Effective Bit-Width and Under-Approximation.- Observable Runtime Behavior for Defects Indicated by Automated Static Analysis.- Computer Vision and Image Processing.- Real-Time Vision-Based Vehicle Detection for Rear-End Collision Mitigation Systems.- Real-Time Hierarchical GPS Aided Visual SLAM on Urban Environments.- Tomographic Image Reconstruction Using Abstractions.- Unsupervised Clustering Using Diffusion Maps for Local Shape Modelling.- Sensibility Analysis of an Object Movement Forecast Approximation in Real Image Sequences.- Angular Contour Parameterization for Signature Identification.- Image Sequences Noise Reduction: An Optical Flow Based Approach.- Mobile and Autonomous Systems: Robots and Cars.- From Industrial to Ubiqitous Robots.- WiFi Localization System Using Fuzzy Rule-Based Classification.- Vehicle Detection Based on Laser Radar.- Biomimetic Controller for Situated Robots Based on State-Driven Behaviour.- Supporting Information Services for Travellers of Public Transport by Road.- Applying Reinforcement Learning to Multi-robot System Behavior Coordination.- Safe Crossroads via Vehicle to Vehicle Communication.- Cooperation Enforcement Schemes in Vehicular Ad-Hoc Networks.- Cooperative and Competitive Behaviors in a Multi-robot System for Surveillance Tasks.- Control Action Continuity on Situation-Based Obstacle Avoidance.- Simulation Based System Optimization.- Traffic Signals in Traffic Circles: Simulation and Optimization Based Efficiency Study.- Integrated System and Network Simulation of a 5.8GHz Local Positioning System.- Simulation Based Optimization of Vertex Packing Decoding Algorithms.- Diversity Order of Spatial Multiplexing with Transmit Antenna Correlation Based Precoding.- Software Simulator to Model an Energy Autonomous System.- Signal Processing Methods in Systems Design and Cybernetics.- On Stochastic Variation in Discrete Time Systems.- Convolution on Finite Groups and Fixed-Polarity Polynomial Expressions.- Reversible Synthesis through Shared Functional Decision Diagrams.- Ternary Haar-Like Transform and Its Application in Spectral Representation of Ternary-Valued Functions.- Complete Sets of Hamiltonian Circuits for Classification of Documents.- SPICE Simulation of Analog Filters: A Method for Designing Digital Filters.- A Heterogeneous Decision Diagram Package.- Walsh Matrices in the Design of Industrial Experiments.- Dynamic Behavior of Time-Domain Features for Prosthesis Control.- Decomposing Pattern Matching Circuit.- Hardware Approach to Artificial Hand Control Based on Selected DFT Points of Myopotential Signals.- System Approach to Complex Signal Processing Task.- Polynomial Models in Control System Design.- Symbolic Computations on Rings of Rational Functions and Applications in Control Engineering.- Nonlinear Systems: A Polynomial Approach.- Robust Control of a Two Tank System Using Algebraic Approach.- Comparing Algebraic and Constrained Pole Assignment Controllers for a Thermal System.- Nonlinear Controllers for a Fluid Tank System.- Pre-identification for Real-Time Control.- Realization of Continuous-Time Nonlinear Input-Output Equations: Polynomial Approach.- Heuristic Problem Solving.- Using Heuristic Optimization for Segmentation of Symbolic Music.- Fitting Rectangular Signals to Time Series Data by Metaheuristic Algorithms.- Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification.- Solving the Euclidean Bounded Diameter Minimum Spanning Tree Problem by Clustering-Based (Meta-)Heuristics.- Solving the Rectangle Packing Problem by an Iterative Hybrid Heuristic.- New Approximation-Based Local Search Algorithms for the Probabilistic Traveling Salesman Problem.- Evolving 6-State Automata for Optimal Behaviors of Creatures Compared to Exhaustive Search.- Analysis of the Properties of the Harmony Search Algorithm Carried Out on the One Dimensional Binary Knapsack Problem.- An Algorithm of Schedule Planning for Tanker Drivers.- A Kruskal-Based Heuristic for the Rooted Delay-Constrained Minimum Spanning Tree Problem.- Applying Ant Colony Optimisation to Dynamic Pickup and Delivery.- Model Driven Rapid Prototyping of Heuristic Optimization Algorithms.- Heuristic Methods for Searching and Clustering Hierarchical Workflows.- Model Instability in Microarray Gene Expression Class Prediction Studies.- Conflict Resolution in Multiagent Systems Based on Wireless Sensor Networks.- Evolutionary Selection in Simulation-Based Optimization.- Feature Selection Based on Pairwise Classification Performance.- On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms.- Solving a Real-World FAP Using the Scatter Search Metaheuristic.- On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection.- On Structural Identification of 2D Regression Functions for Indoor Bluetooth Localization.- Grid-Enabled Mutation-Based Genetic Algorithm to Optimise Nuclear Fusion Devices.- Priority Rule Generation with a Genetic Algorithm to Minimize Sequence Dependent Setup Costs.- A GRASP-VNS Hybrid for the Fuzzy Vehicle Routing Problem with Time Windows.- Simulation and Formal Methods in Systems Design and Engineering.- Performance Modelling for Avionics Systems.- Object-Oriented Petri Nets-Based Modeling of Resources in Project Engineering.- Simulation Based Design of Control Systems Using DEVS and Petri Nets.- Transforming UML-Based System Descriptions into Simulation Models as Part of System Development Frameworks.- Model-Based Design and Verification of Reactive Systems.- Resonant Tunnelling Diode-Based Circuits: Simulation and Synthesis.- A Practical Methodology for Integration Testing.- Models of Co-operative Engineering Systems.- Safety Oriented Laparoscopic Surgery Training System.- Co-operative Extended Kohonen Mapping (EKM) for Wireless Sensor Networks.- Morphotronic System Applications.- SNIPER: A Wireless Sensor Network Simulator.- Embedded Fortress - Software Environment for Intellectual Property Protection in Embedded Systems.- Collaborative XML Document Versioning.- Parallel Distributed Genetic Algorithm for Expensive Multi-Objective Optimization Problems.
• (source: Nielsen Book Data)

The concept of CAST as Computer Aided Systems Theory was introduced by F. Pichler in the late 1980s to refer to computer theoretical and practical developments as tools for solving problems in system science. It was thought of as the third component (the other two being CAD and CAM) required to complete the path from computer and systems sciences to practical developments in science and engineering. Franz Pichler, of the University of Linz, organized the first CAST workshop in April 1988, which demonstrated the acceptance of the concepts by the scientific and technical community. Next, the University of Las Palmas de Gran Canaria joined the University of Linz to organize the first international meeting on CAST (Las Palmas, February 1989) under the name EUROCAST'89. This proved to be a very successful gathering of systems theorists, computer scientists and engineers from most European countries, North America and Japan. It was agreed that EUROCAST international conferences would be organized every two years, alternating between Las Palmas de Gran Canaria and a continental European location. From 2001 the conference has been held exclusively in Las Palmas. Thus, successive EUROCAST meetings took place in Krems (1991), Las Palmas (1993), In- bruck (1995), Las Palmas (1997), Vienna (1999), Las Palmas (2001), Las Palmas (2003) Las Palmas (2005) and Las Palmas (2007), in addition to an extra-European CAST c- ference in Ottawa in 1994.
(source: Nielsen Book Data)

• IMAGE ANALYSIS & PROCESSING.- Multi-granularity feature attention Fusion network for Image-Text Sentiment Analysis.- Toward efficient image denoising: A lightweight network with retargeting supervision driven knowledge distillation.- A pig pose estimation model for measuring pig's body size.- Topology-aware Learning for Semi-supervised Cross-domain Retinal Artery/Vein Classification.- Face Super-Resolution with Better Semantics and More Efficient Guidance.- GRAPHS & NETWORKS.- Layout and Display of Network Graphs on a Sphere.- Joint Matrix Factorization and Structure Preserving for Domain Adaptation.- Graph Adversarial Network with Bottleneck Adapter Tuning for Sign Language Production.- ESTIMATION & FEATURE MATCHING.- Facial Landmarks based Region-Level Data Augmentation for Gaze Estimation.- An Efficient Dense Depth Map Estimation Algorithm Using Direct Stereo Matching For Ultra-wide-angle Images.- Ad-RMS: Adaptive Regional Motion Statistics for Feature Matching Filtering.- 3D RECONSTRUCTION.- Mobile Augmented Realty Based Visual Indoor Navigation.- Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-view Stereo.- Reconstructing the Surface Mesh Representation for Single Neuron.- WEmap: Weakness-enhancement mapping for 3D reconstruction with sparse image sequences.- RENDERING & ANIMATION.- Comparing Traditional Rendering Techniques to Deep Learning based Super-Resolution in Fire and Smoke Animations.- Real-Time Light Field Path Tracing.- Crowd Simulation with Detailed Body Motion and Interaction.- Towards Rendering the Style of 20th Century Cartoon Line Art in 3D Real-time.- DETECTION & RECOGNITION.- Face detection algorithm in classroom scene based on deep learning.- GRVT: Toward Effective Grocery Recognition via Vision Transformer.- A Transformer-based Cloth-irrelevant Patches Feature Extracting Method for Long-Term Cloth-Changing Person Re-identification.- Learning Unified Binary Feature Codes For Cross-illumination Palmprint Recognition.- COLORS, PAINTINGS & LAYOUT.- SemiPainter: Learning to draw semi-realistic paintings from the manga line drawings and flat shadow.- Hierarchical Bayesian Network Modeling and Layout of Huizhou Traditional Villages in Geographic Environment.- AE-GAN: Attention Embedded GAN For Irregular and Large-area Mask Face Image Inpainting.- SYNTHESIS & GENERATION.- Procedural Generation of Landscapes with Water Bodies Using Artificial Drainage Basins.- High-fidelity Dynamic Human Synthesis via UV-guided NeRF with Sparse Views.- Rec2Real: Semantics-Guided Photo-Realistic Image Synthesis Using Rough Urban Reconstruction Models.- 3D Digital City Structure Model Based on Image Modeling Technology.- AR & USER INTERFACES.- Augmented Reality-Based Home Interaction Layout and Evaluation.- LiteAR: A Framework to Estimate Lighting for Mixed Reality Sessions for Enhanced Realism.- Personalized User Interface Elements Recommendation System.- MEDICAL IMAGING.- A feature point extraction method for capsule endoscope localization.- Automated Diagnosis Of Retinal Neovascularization Pathologies From Color Retinal Fundus Images.- SEGMENTATION.- DDCNet: A lightweight network with variable receptive field for real-time portrait segmentation in complex environment.- A chromosome segmentation method based on corner detection and watershed algorithm.- Voxel-based 3D shape segmentation using deep volumetric convolutional neural networks.- OBJECT DETECTION.- Few-shot detection based on an enhanced prototype for outdoor small forbidden objects.- Research on real-time forestry pest detection based on improved YOLOv5.- Power Line Detection Based on Feature Fusion Deep Learning Network.- IMAGE ATTENTION & PERCEPTION.- Wider and Higher: Intensive Integration and Global Foreground Perception for Image Matting.- Authenticity Identification of Qi Baishi's Shrimp Painting with Dynamic Token Enhanced Visual Transformer.- MODELING & SIMULATION.- An Optimized Material Point Method for Soil-Water Coupled Simulation.- SlimFliud-Net: Fast Fluid Simulation Using Admm Pruning. .
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 39th Computer Graphics International Conference on Advances in Computer Graphics, CGI 2022, held Virtually, during September 12-16, 2022. The 45 full papers included in this book were carefully reviewed and selected from 139 submissions. They were organized in topical sections as follows: image analysis & processing; graphs & networks; estimation & feature matching; 3d reconstruction; rendering & animation; detection & recognition; colors, paintings & layout; synthesis & generation; ar & user interfaces; medical imaging; segmentation; object detection; image attention & perception; and modeling & simulation.
(source: Nielsen Book Data)

• Invited Paper.- Digital Geometry and Topology.- Picture Languages.- Theory and Applications.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 201st International Workshop on Combinatorial Image Analysis, IWCIA 2022, held in Messina, Italy, in July 2022.The 20 full papers presented were carefully reviewed and selected from 24 submissions. The papers are grouped into four sections. The first one consists of one invited talk. The second section contains seven papers devoted to digital geometry and topology. The third part consists of six papers discussing picture languages. The last part, including six papers, is devoted to various applications. We believe that many of these papers would be of interest to a broader audience, including researchers in scientific areas such as computer vision, shape modeling, pattern analysis and recognition, and computer graphics.
(source: Nielsen Book Data)

• Theory of Mind
• Operationalizing Theories of Theory of Mind: A Survey.- Knowledge of Self and Other Within a Broader Commonsense Setting.- Constructivist Approaches for Computational Emotions: A Systematic Survey.- Methodological Advances.- Social Cognition Paradigms ex Machinas.- Evaluating Artificial Social Intelligence in an Urban Search and Rescue Task Environment.- Modular Procedural Generation for Voxel Maps.- Task Complexity and Performance in Individuals and Groups Without Communication.- Development of Emergent Leadership Measurement: Implications for Human-Machine Teams.- Translating and Modeling Human Theory of Mind for ASI.- Should Agents Have Two Systems to Track Beliefs and Belief-Like States?.- Sequential Theory of Mind Modeling in Team Search and Rescue Tasks.- Integrating Machine Learning and Cognitive Modeling of Decision Making.- Overgenerality from Inference in Perspective-Taking.- Tools for Improving ASI.- Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time.- Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the First International Symposium, ToM for Teams 2021, held in Washington, DC, USA, during November 4-6, 2021, Each chapter in this section tackles a different aspect of AI representing the thoughts and beliefs of human agents. The work presented herein represents our collective efforts to better understand ToM, develop AI with ToM capabilities (ASI), and study how to integrate such systems into human teams.
(source: Nielsen Book Data)

• Human Factors and Ergonomics
• Job Design and Human Productivity
• Interacting with Robots and Exoskeletons
• Digital Health
• IoT and AI in Medicine and Healthcare
• Modeling Complex Human Behavior and Phenomena

This book constitutes the refereed proceedings of the 14th Digital Human Modeling & Applications in Health, Safety, Ergonomics & Risk Management (DHM) Conference, held as part of the 25th International Conference, HCI International 2023, which was held virtually in Copenhagen, Denmark in July 2023. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions. The DHM 2023 method focuses on different areas of application and has produced works focused on human factors and ergonomics based on human models, novel approaches in healthcare and the application of artificial intelligence in medicine. Interesting applications will be shown in many sectors. Work design and productivity, robotics and intelligent systems are among this year's human-machine modeling and results reporting efforts

• Human Factors and Ergonomics
• Job Design and Human Productivity
• Interacting with Robots and Exoskeletons
• Digital Health
• IoT and AI in Medicine and Healthcare
• Modeling Complex Human Behavior and Phenomena

This book constitutes the refereed proceedings of the 14th Digital Human Modeling & Applications in Health, Safety, Ergonomics & Risk Management (DHM) Conference, held as part of the 25th International Conference, HCI International 2023, which was held virtually in Copenhagen, Denmark in July 2023. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions. The DHM 2023 method focuses on different areas of application and has produced works focused on human factors and ergonomics based on human models, novel approaches in healthcare and the application of artificial intelligence in medicine. Interesting applications will be shown in many sectors. Work design and productivity, robotics and intelligent systems are among this year's human-machine modeling and results reporting efforts

• Waste Classification from Digital Images Using ConvNeXt
• A Federated Learning approach for text classification using NLP
• A_Method_for_Face_Image_Inpainting_Based_on_Autoencoder_and_Adve rsarial_Generative_Networks
• Traffic Sign Recognition from Digital Images by Using Deep Learning
• Youtube Engagement Analytics via Deep Multimodal Hybrid Fusion
• Dynamic Point Cloud Compression with Cross-Sectional Approach
• Event-based visual sensing for human motion detection and classification at various distances
• On Low-Resolution Face Re-identification with High-Resolution-Mapping
• On Skin Lesion Recognition using Deep Learning 50 Ways to Choose Your Model
• Enhancing Automated Baggage Inspection Using Simulated X-ray Images of 3D Models
• A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation Rapid On-site Weed Identification with Machine Learning
• Remote Tiny Weeds Detection
• Combining_Multivision_Embedding_in_Contextual_Attention_for_Viet namese_Visual_Question_Answering
• Depth Estimation of Traffic Scenes from Image Sequence Using Deep Learning.

This book constitutes the conference proceedings of the 10th Pacific Rim Symposium on Image and Video Technology, PSIVT 2022, held in Bintan Island, Indonesia, in November 2022. A total of 15 papers were carefully reviewed and selected from 18 submissions. The main conference focuses on theoretical advances or practical implementations in image and video technology.

• Machine Learning
• CCLM: Class-conditional Label Noise Modelling
• Addressing class imbalance in Multilabel Prototype Generation for k-Nearest Neighbor classification
• Time series imputation in faulty systems
• DARTS with degeneracy correction
• A fuzzy logic inference system for display characterization
• Learning Semantic-Visual Embeddings with a Priority Queue
• Learning Semantic-Visual Embeddings with a Priority Queue
• Continual vocabularies to tackle the catastrophic forgetting problem in Machine Translation
• Evaluating Domain Generalization in Kitchen Utensils Classification
• Document Analysis
• Segmentation of Large Historical Manuscript Bundles into Multi-page Deeds
• A Study of Augmentation Methods for Handwritten Stenography Recognition
• Lifelong Learning for Document Image Binarization: A Experimental Study
• Test-Time Augmentation for Document Image Binarization
• A Weakly-Supervised Approach for Layout Analysis in Music Score Images
• ResPho(SC)Net: A Zero-Shot Learning Framework for Norwegian Handwritten Word Image Recognition
• Computer Vision
• DeepArUco: Marker detection and classification in challenging lightning conditions
• Automated Detection and Identification of Olive Fruit Fly using YOLOv7 Algorithm
• Learning to search for and detect objects in foveal images using deep learning
• Relation networks for few-shot video object detection
• Optimal Wavelength Selection for Deep Learning from Hyperspectral Images
• Can representation learning for multimodal image registration be improved by supervision of intermediate layers?
• Interpretability-Guided Human Feedback During Neural Network Training
• Calibration of Non-Central Conical Catadioptric Systems from Parallel Lines
• S² -LOR: Supervised Stream Learning for Object Recognition
• Evaluation of Regularization Techniques for Transformers-Based Models
• 3D Computer Vision
• Guided depth completion using active infrared images in Time of Flight system
• StOCaMo: Online Calibration Monitoring for Stereo Cameras
• Smart-Tree: Neural Medial Axis Approximation of Point Clouds for 3D Tree Skeletonization
• A Measure of Tortuosity for 3D Curves: Identifying 3D beating patterns of sperm flagella
• The ETS2 Dataset, synthetic data from video games for monocular depth estimation
• Computer Vision Applications
• Multimodal Human Pose feature fusion for Gait recognition
• Proxemics-Net: automatic proxemics recognition in images
• Lightweight Vision Transformers for Face Verification in the Wild
• Py4MER: a CTC-based Mathematical Expression Recognition System
• Hierarchical Line Extremity Segmentation U-Net for the SoccerNet 2022 Calibration Challenge - Pitch Localization
• Object Localization with Multiplanar Fiducial Markers: Accurate Pose Estimation
• Real-time unsupervised object localization on the edge for airport video surveillance
• Identifying Thermokarst Lakes Using Discrete Wavelet Transform-Based Deep Learning Framework
• Object Detection for Rescue Operations by High-altitude Infrared Thermal Imaging Collected by Unmanned Aerial Vehicles
• Medical Imaging & Applications
• Inter vs. Intra Domain Study of COVID Chest X-Ray Classification with Imbalanced Datasets
• Automatic Eye-Tracking-Assisted Chest Radiography Pathology Screening
• Deep Neural Networks to distinguish between Crohn's disease and Ulcerative colitis
• Few-shot image classification for automatic COVID-19 diagnosis
• An ensemble-based phenotype classifier to diagnose Crohn's disease from 16s rRNA gene sequences
• Synthetic spermatozoa video sequences generation using Adversarial Imitation Learning
• A Deep Approach for Volumetric Tractography Segmentation
• MicrogliaJ: an Automatic Tool for Microglial Cell Detection and Segmentation
• Automated Orientation Detection of 3D Head Reconstructions from sMRI using Multiview Orthographic Projections: An Image Classification-Based Approach
• Machine Learning Applications
• Enhancing Transferability of Adversarial Audio in Speaker Recognition Systems
• Fishing Gear Classification from Vessel Trajectories and Velocity Profiles: Database and Benchmark
• Multi-view Infant Cry Classification
• Study and automatic translation of Toki Pona
• Detecting Loose Wheel Bolts of a Vehicle using Accelerometers in the Chassis
• Clustering ECG time series for the quantification of physiological reactions to emotional stimuli
• Predicting the Subjective Responses' Emotion in Dialogues with Multi-Task Learning
• Few-shot learning for prediction of electricity consumption patterns

This book constitutes the refereed proceedings of the 11th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2023, held in Alicante, Spain, in June 27-30, 2023. The 56 papers accepted for these proceedings were carefully reviewed and selected from 86 submissions. They deal with Machine Learning, Document Analysis, Computer Vision, 3D Computer Vision, Computer Vision Applications, Medical Imaging & Applications, Machine Learning Applications

• Pattern Recognition and Machine Learning Techniques: Feature Analysis and Selection for Water Stream Modeling
• A Cloud-based (AWS) Machine Learning Solution to Predict Account Receivables in a Financial Institution
• A New Approach for Road Type Classification using Multi-Stage Graph Embedding Method
• Removing the Black-Box from Machine Learning
• Using Machine Learning to Identify Patterns in Learner-Submitted Code for the Purpose of Assessment
• Fitness Function Comparison for Unsupervised Feature Selection with Permutational-Based Dierential Evolution
• A Method for Counting Models on Cubic Boolean Formulas
• Automatic Identication of Learning Styles through Behavioral Patterns
• Comparison of Classiers in Challenge Scheme
• Deep Learning and Neural Networks: Robust Zero-Watermarking for Medical Images based on Deep Learning Feature Extraction
• Plant Stress Recognition Using Deep Learning and 3D Reconstruction
• Segmentation and Classification Networks for Corn/Weed Detection under Excessive Field Variabilities
• Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation
• Spoofing Detection for Speaker Verification with Glottal Flow and 1D Pure Convolutional Networks
• Estimation of Stokes Parameters using Deep Neural Networks
• Experimental Study of the Performance of Convolutional Neural Networks Applied in Art Media Classification
• Medical Applications of Pattern Recognition: Hadamard Layer to Improve Semantic Segmentation in Medical Images
• Patterns in Genesis of Breast Cancer Tumor
• Realistic Simulation of Event-Related Potentials and their usual Noise and Interferences for Pattern Recognition
• Chest X-ray Imaging Severity Score of COVID-19 Pneumonia
• Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples
• Comparison of Deep Learning Architectures in Classification of Microcalcifications Clusters in Digital Mammograms
• Retinal Artery and Vein Segmentation using an Image-to-image Conditional Adversarial Network
• Evaluation of Heatmaps as an Explicative Method for Classifying Acute Lymphoblastic Leukemia Cells
• Language Processing and Recognition: Machine Learning Models Applied in Sign Language Recognition
• Urdu Semantic Parsing: An Improved SEMPRE Framework for Conversion of Urdu Language Web Queries to Logical forms
• Improving the Identification of Abusive Language through Careful Design of Pre-training Tasks
• Industrial Applications of Pattern Recognition: TOPSIS Method for Multiple-Criteria Decision-Making Applied to Trajectory Selection for Autonomous Driving
• Machine-learning based Estimation of the Bending Magnitude Sensed by a Fiber Optic Device
• Graph-based Semi-Supervised Learning using Riemannian Geometry Distance for Motor Imagery Classification

This book constitutes the refereed proceedings of the 15th Mexican Conference on Pattern Recognition, MCPR 2023, held in Tepic, Mexico, during June 21–24, 2023. The 30 full papers presented in this book were carefully reviewed and selected from 61 submissions. The papers are divided into the following topical sections: pattern recognition and machine learning techniques; deep learning and neural networks; medical applications of pattern recognition; language processing and recognition; and industrial applications of pattern recognition

• Theory and Methods Reduced Precision Research of a GAN Image Generation Use-case.- Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks.- Retinotopic Image Encoding by Samples of Counts.- Gesture Recognition and Multi-Modal Fusion on a New Hand Gesture Dataset.- Adaptive Sampling for Weighted Log-rank Survival Trees Boosting.- Applications Forecasting Overtime Budgets for Naval Fleet Maintenance Facilities using Time-series Analysis during Transient System States.- Exploiting Temporal Coherence to Improve Person Re-identification.- Perusal of Camera Trap Sequences across Locations.
• (source: Nielsen Book Data)

This book contains revised and extended versions of selected papers from the 10th and 11th International Conference on Pattern Recognition, ICPRAM 2021 and 2022, held in February 2021 and 2022. Due to COVID-19 pandemic the conferences were held virtually. Both conferences received in total 204 submissions from which 8 full papers were carefully reviewed and selected for presentation in this volume. The papers span a wide range of investigation as well as development lines, which of course always reflect the last trends of research in the pattern recognition community.
(source: Nielsen Book Data)

• Physical Attacks.- Time's a Thief of Memory: Breaking Multi-tenant Isolation in TrustZones through Timing based Bidirectional Covert Channels.- Combined Fault Injection and Real-Time Side-Channel Analysis for Android Secure-Boot Bypassing.- A Practical Introduction to Side-Channel Extraction of Deep Neural Network Parameters.- Physical Countermeasures.- A Nearly Tight Proof of Duc et al.s Conjectured Security Bound for Masked Implementations.- Short-Iteration Constant-Time GCD and Modular Inversion.- Protecting AES.- Guarding the First Order: The Rise of AES Maskings.- Rivain-Prouff on Steroids: Faster and Stronger Masking of the AES.- Self-Timed Masking: Implementing Masked S-Boxes Without Registers.- Evaluation Methodologies.- An Evaluation Procedure for Comparing Clock Jitter Measurement Methods.- Comparing Key Rank Estimation Methods.- Cycle-Accurate Power Side-Channel Analysis Using the ChipWhisperer: a Case Study on Gaussian Sampling.- Attacking NTRU.- Reveal the Invisible Secret: Chosen-Ciphertext Side-Channel Attacks on NTRU.- Security Assessment of NTRU Against Non-Profiled SCA.- Next-Generation Cryptography.- Post-Quantum Protocols for Banking Applications.- Analyzing the Leakage Resistance of the NIST's Lightweight Crypto Competition's Finalists.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 21st International Conference on Smart Card Research and Advanced Applications, CARDIS 2022, which took place in November 2022. The conference took place in Birmingham, United Kingdom. The 15 full papers presented in this volume were carefully reviewed and selected from 29 submissions. They were organized in topical sections named: physical attacks; physical countermeasures; protecting AES; evaluation methodologies; attacking NTRU; next-generation cryptography.
(source: Nielsen Book Data)

• On Geometric Shape Construction via Growth Operations.- Optimal and Heuristic Algorithms for Data Collection by Using an Energy- and Storage-Constrained Drone.- Blackout-tolerant Temporal Spanners.- Molecular robots with chirality on grids.- Centralised Connectivity-Preserving Transformations by Rotation: 3 Musketeers for all Orthogonal Convex Shapes.- Triangle Evacuation of 2 Agents in the Wireless Model.- Resource time-sharing for IoT applications with deadlines.- Fault-Tolerant Graph Realizations in the Congested Clique.- The Complexity of Growing a Graph.- Dispersing Facilities on Planar Segment and Circle Amidst Repulsion.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 18th International Symposium on Algorithmics of Wireless Network, ALGOSENSORS 2022, which took place in Potsdam, Germany in September 2022. The 10 full papers presented in this volume were carefully reviewed and selected from 21 submissions. ALGOSENSORS is an international symposium dedicated to algorithmic aspects of wireless networks.
(source: Nielsen Book Data)

• Fingerprint, Palmprint and Vein Recognition.- A Finger BiModal Fusion Algorithm based on Improved DenseNet.- A lightweight segmentation network based on extraction.- A novel multi-layered minutiae extractor based on OCT fingerprints.- An overview and forecast of biometric recognition technology used in forensic science.- Combining Band-Limited OTSDF Filter and Directional Representation for Palmprint Recognition.- Cross-Dataset Image Matching Network for Heterogeneous Palmprint Recognition.- DUAL MODE NEAR-INFRARED SCANNER FOR IMAGING DORSAL HAND VEINS.- Multi-Stream Convolutional Neural Networks Fusion for Palmprint Recognition.- Multi-view Finger Vein Recognition using Attention-based MVCNN.- SELECTIVE DETAIL ENHANCEMENT ALGORITHM FOR FINGER VEIN IMAGES.- SP-FVR: SuperPoint-based Finger Vein Recognition.- TransFinger: Transformer based Finger Tri-modal Biometrics.- Face Detection, Recognition and Tracking.- A Survey of Domain Generalization-based Face Anti-spoofing.- An Empirical Comparative Analysis of Africans with Asians using DCNN Facial Biometric Models.- Disentanglement of Deep Features for Adversarial Face Detection.- Estimation of Gaze-Following Based on Transformer and the Guiding Offset.- Learning Optimal Transport Mapping of Joint Distribution for Cross-Scenario Face Anti-Spooffing.- MLFW: A Database for Face Recognition on Masked Faces.- Multi-scale object detection algorithm based on adaptive feature fusion.- Sparsity-Regularized Geometric Mean Metric Learning for Kinship Verification.- YoloMask: An Enhanced YOLO Model for Detection of Face Mask Wearing Normality, Irregularity and Spoofing.- Gesture and Action Recognition.- Adaptive Joint Interdependency Learning for 2D Occluded Hand Pose Estimation.- Contrastive and Consistent Learning for Unsupervised Human Parsing.- Dynamic Hand Gesture Authentication Based on Improved Two-stream CNN.- Efficient Video Understanding-based Random Hand Gesture Authentication.- Multidimension Joint Networks for Action Recognition.- Multi-Level Temporal-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition.- Research on Gesture Recognition of Surface EMG Based on Machine Learning.- Affective Computing and Human-Computer Interface.- Adaptive Enhanced Micro-expression Spotting Network based on Multi-stage Features Extraction.- Augmented Feature Representation with Parallel Convolution for Cross-domain Facial Expression Recognition.- Hemispheric Asymmetry Measurement Network for Emotion Classification.- Human Action Recognition Algorithm of Non-Local Two-Stream Convolution Network Based on Image Depth Flow.- Synthetic Feature Generative Adversarial Network for Motor Imagery Classification: Create Feature from Sampled Data.- Speaker and Speech Recognition.- An End-to-end Conformer-based Speech Recognition Model for Mandarin Radiotelephony Communications in Civil Aviation.- ATRemix: An Auto-Tune Remix Dataset for Singer Recognition.- Low-resource speech keyword search based on residual neural network.- Online Neural Speaker Diarization with Core Samples.- Pose-unconstrainted 3D Lip Behaviometrics via Unsupervised Symmetry Correction.- Virtual Fully-Connected Layer for a Large-Scale Speaker Verification Dataset.- Gait, Iris and Other Biometrics.- A Simple Convolutional Neural Network for Small Sample Multi-lingual Offline Handwritten Signature Recognition.- Attention Skip Connection Dense Network for Accurate Iris Segmentation.- Gait Recognition with Various Data Modalities: A Review.- INCREMENTAL EEG BIOMETRIC RECOGNITION BASED ON EEG RELATION NETWORK.- Salient Foreground-Aware Network for Person Search.- Shoe print retrieval algorithm based on improved ecientnetV2.- Multi-modal Biometric Recognition and Fusion.- A novel dual-modal biometric recognition method based on weighted joint group sparse representation classification.- FINGER TRIMODAL FEATURES CODING FUSION METHOD.- Fusion of Gait and Face for Human Identification at the Feature Level.- Gait Recognition in Sensing Insoles: a study based on a Hybrid CNN-Attention-LSTM Network.- Identity Authentication Using a Multimodal Sensing Insole a Feasibility Study.- MDF-Net: Multimodal Deep Fusion for Large-scale Product Recognition.- Survey on Deep Learning based Fusion Recognition of Multimodal Biometrics.- Synthesizing Talking Face Videos with a Spatial Attention Mechanism.- Quality Evaluation and Enhancement of Biometric Signals.- Blind Perceptual Quality Assessment for Single Image Motion Deblurring.- Low-illumination Palmprint Image Enhancement Method Based On U-Net Neural Network.- Texture-guided multiscale feature learning network for palmprint image quality assessment.- Animal Biometrics.- An Adaptive Weight Joint Loss Optimization For Dog Face Recognition.- Improved YOLOv5 for Dense Wildlife Object Detection.- Self-Attention based Cross-level Fusion Network for Camou aged Object Detection.- Trustyworth, Privacy and Persondal Data Security.- Face Forgery Detection by Multi-dimensional Image Decomposition.- IrisGuard: Image Forgery Detection for Iris Anti-spooffing.- Multi-branch network with circle loss using voice conversion and channel robust data augmentation for synthetic speech detection.- Spoof Speech Detection Based on Raw Cross-dimension Interaction Attention Network.- Medical and Other Applications.- A Deformable Convolution Encoder with Multi-Scale Attention Fusion Mechanism for Classification of Brain Tumor MRI Images.- GI Tract Lesion Classification Using Multi-task Capsule Networks with Hierarchical Convolutional Layers.- Grading Diagnosis of Sacroiliitis in CT Scans Based on Radiomics and Deep Learning.- Noninvasive blood pressure waveform measurement method based on CNN-LSTM.- Recurrence Quantification Analysis of Cardiovascular System During Cardiopulmonary Resuscitation.- UAV AERIAL PHOTOGRAPHY TRAFFIC OBJECT DETECTION BASED ON LIGHTWEIGHT DESIGN AND FEATURE FUSION.- UMixer: A novel U-shaped convolutional mixer for multi-scale feature fusion in Medical Image Segmentation.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 16th Chinese Conference on Biometric Recognition, CCBR 2022, which took place in Beijing, China, in November 2022. The 70 papers presented in this volume were carefully reviewed and selected from 115 submissions. The papers cover a wide range of topics such as Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking; Gesture and Action Recognition; Affective Computing and Human-Computer Interface; Speaker and Speech Recognition; Gait, Iris and Other Biometrics; Multi-modal Biometric Recognition and Fusion; Quality Evaluation and Enhancement of Biometric Signals; Animal Biometrics; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.
(source: Nielsen Book Data)

• High Level Synthesis.- High-Level Synthesis of Digital Circuits from Template Haskell and SDF-AP 1 H. H.
• Implementing Synthetic Aperture Radar Backprojection in Chisel - A Field Report.- EasyHBM: Simple and Fast HBM Access for FPGAs using High-Level Synthesis.- Memory Systems.- TREAM: A Tool for Evaluating Error Resilience of Tree-based Models using Approximate Memory.- Split'n'Cover: ISO 26262 Hardware Safety Analysis with SystemC.- Tagged Geometric History Length Access Interval Prediction for Tightly Coupled Memory Systems.- Processor Architecture.- NanoController: A Minimal and Flexible Processor Architecture for UltraLow-Power.- ControlPULP: A RISC-V Power Controller for HPC Processors with Parallel Control-Law Computation Acceleration.- Embedded Software Systems and beyond.- CASA: An Approach for exposing and documenting Concurrency-related Software Properties.- High-Level Simulation of Embedded Software Vulnerabilities to EM SideChannel Attacks.- Deep Learning Optimization I.- A Design Space Exploration Methodology for Enabling Tensor Train Decomposition in Edge Devices.- Study of DNN-based Ragweed Detection from Drones.- PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-Core MCUs through Performance-Driven Autotuning.- Extra-functional Property Estimation.- The Impact of Dynamic Storage Allocation on CPython Execution Time, Memory Footprint and Energy Consumption: An Empirical Study.- Application runtime estimation for AURIX embedded MCU using deep learning.- A Hybrid Performance Prediction Approach for Fully-Connected Artificial Neural Networks on Multi-Core Platforms.- Deep Learning Optimization I.- A Smart HW-Accelerator for Non-Uniform Linear Interpolation of MLActivation Functions.- Hardware-Aware Evolutionary Filter Pruning.- Innovative Architectures and tools for Security.- Obfuscating the Hierarchy of a Digital IP.- On the effectiveness of true random number generators implemented on FPGAs.- Power and Energy.- SIDAM: A Design Space Exploration Framework for Multi-Sensor Embedded Systems Powered by Energy Harvesting.- A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 22st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2022 in Samos, Greece. The 21 full papers presented in this volume were carefully reviewed and selected from 44 submissions. The papers are organized in topics as follows: High level synthesis; memory systems; processor architecture; embedded software systems and beyond; deep learning optimization; extra-functional property estimation; innovative architectures and tools for security; european research projects on digital systems, services, and platforms.
(source: Nielsen Book Data)

• IoT Enabling Technologies.- Overview of Drone Communication Requirements in 5G.- Accurate indoor positioning based on beacon weighting using RSSI.- Adaptive Data-Driven Routing for Edge-to-Cloud Continuum: a Content-Based Publish/Subscribe Approach.- Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building.- IntellIoT: Intelligent IoT Environments.- An Interoperable Framework for Heterogeneous IoT Infrastructure to Unlock Data Value.- Task offloading in Computing Continuum using collaborative reinforcement learning.- Assessing Efficiency Benefits of Edge Intelligence.- IoT Applications, Services and Real Implementations.- A Smart IoT Gateway capable of Prescreening for Atrial Fibrillation.- Internet of Things with web technologies solution for flood notification in S~ao Paulo.- Wi-Monitor: Wi-Fi Channel State Information-based Crowd Counting with Lightweight and Low-cost IoT Devices.- Design of a next-generation interoperable Cognitive Port Solution.- Conceptual Framework of Contact-less Consumer Products Industry during and Post-Pandemic Era.- Blockchain for economy of scale in wind industry: A Demo Case.- Sleep Stage detection on a Wearable Headband using Deep Neural Networks.- A Comparative Study on Energy Consumption Models for Drones.- ConQeng: A Middleware for Quality of Context Aware Selection, Measurement and Validation.- Automating Heterogeneous IoT Device Networks from Multiple Brokers with Multiple Data Models.- A Persuasive system for Stress Detection and Management in an Educational Environment.- Domain Generalization on Constrained Platforms: on the Compatibility with Pruning Techniques.- IoT Security, Privacy and Data Protection.- A low-overhead approach for self-sovereign identity in IoT.- An Analysis of Process Parameters for the Optimization of Specific Emitter Identification Under Rayleigh Fading.- Secure Image Data Storage And Transmission Using ESP32-Cam And Raspberry Pi With Steganography.- Modelling of Resource-aware Information Exchange for Resource Constraint IoT Devices.- IRIS Advanced Threat Intelligence Orchestrator- A way to manage cybersecurity challenges of IoT ecosystems in Smart Cities.- Federated learning-based IoT intrusion detection on non-IID data.- A holistic approach for IoT networks' identity and trust management - The ERATOSTHENES project.- A holistic approach for IoT networks' identity and trust management - The ERATOSTHENES project.- ARCADIAN-IoT - Enabling Autonomous Trust, Security and PrivacyManagement for IoT.- IoT Pilots, Testbeds and Experimentation Results.- GAIA 5G: A Multi-Access Smart-Campus Architecture.- IoT Device for Reduction of Roe Deer Fawn Mortality During Haymaking.- Latency and Energy Consumption of Convolutional Neural Network Models from IoT Edge Perspective.- Industry-Academia Cooperation: Applied IoT Research for SMEs in South-East Sweden.- Experiment to scope Low Carbon Electricity based Additive Manufacturing with IoT.
• (source: Nielsen Book Data)

This book constitutes revised selected papers from the refereed proceedings of the 5th The Global IoT Summit, GIoTS 2022, which took place in Dublin, Ireland, in June 20-23, 2022. The 33 full papers included in this book were carefully reviewed andselected from 75 submissions. They were organized in topical sections as follows: ioT enabling technologies; ioT applications, services and real implementations; ioT security, privacy and data protection; and ioT pilots, testbeds and experimentation results.
(source: Nielsen Book Data)

• Pattern Recognition Techniques.- Hot Spots & Hot Regions Detection using Classification Algorithms in BMPs Complexes at the Protein-protein Interface with the Ground-state Energy Feature.- Clustering of Twitter Networks based on Users' Structural Profile.- Changing Model from NGSIM Dataset.- A Robust Fault Diagnosis Method in Presence of Noise and Missing Information for Industrial Plants.- A Preliminary Study of SMOTE on Imbalanced Big Datasets when Dealing with Sparse and Dense High Dimensionality.- A Novel Survival Analysis-based Approach for Predicting Behavioral Probability of Mining Mixed Data Bases using Machine Learning Algorithms.- Networks and Deep Learning A CNN-based Driver's Drowsiness and Distraction Detection System.- 3D Convolutional Neural Network to Enhance Small-Animal Positron Emission Tomography Images in the Sinogram Domain.- Learning Dendrite Morphological Neurons Using Linkage Trees for Pattern Classification.- Deep Variational Method with Attention for High-Definition Face Generation.- Indoor Air Pollution Forecasting using Deep Neural Networks.- Extreme Machine Learning Architectures based on Correlation.- Image & Signal Processing and Analysis Evaluating New Set of Acoustical Features for Cry Signal Classification.- Motor Imagery Classification Using Riemannian Geometry in Multiple Frequency Bands with a Weighted Nearest Neighbors Approach.- Virtualizing 3D Real Environments Using 2D Pictures Based on Photogrammetry.- Factorized U-net for Retinal Vessel Segmentation.- Multi-view Learning for EEG Signal Classification of Imagined Speech.- Escalante Emotion Recognition using Time-frequency Distribution and GLCM Features from EEG Signals.- Natural Language Processing and Recognition Leveraging Multiple Characterizations of Social Media Users for Depression Detection Using Data Fusion.- A Wide & Deep Learning Approach for Covid-19 Tweet Classification.- Does this Tweet Report an Adverse Drug Reaction? An Enhanced BERT-based Method to Identify Drugs Side Effects in Twitter.- We Will Know Them by Their Style: Fake News Detection based on Masked n-grams.- Multi-Document Text Summarization based on Genetic Algorithm and the Relevance of Sentence Features.- Robotics & Remote Sensing Applications of Pattern Recognition On Labelling Pointclouds with the Nearest Facet of Triangulated Building Models.- Dust Deposition Classification on the Receiver Tube of the Parabolic Trough Collector: A Deep Learning-based Approach.- Detection of Pain Caused By A Thermal Stimulus Using EEG and Machine Learning.- Data Mining.- Natural Language Processing and Recognition.- Document Processing and Recognition.- Fuzzy and Hybrid Techniques in Pattern Recognition.- Image Coding, Processing and Analysis.- Industrial and Medical Applications of Pattern Recognition.- Bioinformatics.- Logical Combinatorial Pattern Recognition.- Mathematical Morphology.- Artificial Intelligence Techniques and Recognition.- Pattern Recognition Principles.- Robotics & Remote Sensing Applications of Pattern Recognition.- Shape and Texture Analysis.- Signal Processing and Analysis.
• (source: Nielsen Book Data)

This book constitutes the proceedings of the 14th Mexican Conference on Pattern Recognition, MCPR 2022, which was held in planned to be held Ciudad Juarez, Mexico, in June 2022. The 33 papers presented in this volume were carefully reviewed and selected from 66 submissions. They are organized in the following topical sections: pattern recognition techniques; neural networks and deep learning; image and signal processing and analysis; natural language processing and recognition; robotics and remote sensing applications of pattern recognition; medical applications of pattern recognition.
(source: Nielsen Book Data)

• One-Shot Image Learning Using Test-Time Augmentation.- Offline Handwritten Mathematical Expression Recognition via Graph Reasoning Network.- Circulant Tensor Graph Convolutional Network for Text Classification.- NASformer: Neural Architecture Search for Vision Transformer.- Interference Distillation for Underwater Fish Recognition.- Action and Video and Motion.- Contact-Less Heart Rate Detection in Low Light Videos.- Spatio-temporal Weight of Active Region for Human Activity Recognition.- Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation.- SARNN: A Spatiotemporal Prediction Model for Reducing Error Transmissions.- 3OFRR-SLAM: Visual SLAM with 3D-assisting Optical Flow and Refined-RANSAC.- Motor Imagery Classification based on local log Riemannian distance matrices selected by confusion area score.- Distance-GCN for Action Recognition.- Causal Intervention Learning for Multi-Person Pose Estimation.- Object Detection and Anomaly.- Weakly Supervised Salient Object Detection with Box Annotation.- Foreground-Background Collaboration Network for Salient Object Detection.- Attention Guided Multi-level Feedback Network for Camouflage Object Detection.- Confidence-aware Anomaly Detection in Human Actions.- Segmentation, Grouping and Shape.- 1D Self-Attention Network for Point Cloud Semantic Segmentation using Omnidirectional LiDAR.- COMatchNet: Co-Attention Matching Network for Video Object Segmentation.- Unsupervised Domain Adaptive Point Cloud Semantic Segmentation.- Towards the Target: Self-Regularized Progressive Learning for Unsupervised Domain Adaptation on Semantic Segmentation.- TFNet: Transformer Fusion Network for Ultrasonic Image Segmentation.- Spatial Pyramid-based Wavelet Embedding Deep Convolutional Neural Network for Semantic Segmentation.- CFFNet: Cross-scale Feature Fusion Network for Real-time Semantic Segmentatio.- Semantic Segmentation and Depth Estimation with RGB and DVS Sensor Fusion for Multi-view Driving Perception.- ARTSeg: Employing Attention for Thermal images Semantic Segmentation.- Robust Frequency-Aware Instance Segmentation for Serial Tissue Sections.- Joint Semantic Segmentation and Edge Detection for Waterline Extraction.- Face and Body and Biometrics.- Comparing Facial Expression Recognition in Humans and Machines: Using CAM, GradCAM, and Extremal Perturbation.- Pose Sequence Generation with a GCN and an Initial Pose Generator.- Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing.- Face Anti-Spoofing via Robust Auxiliary Estimation and Discriminative Feature Learning.- PalmNet: A Robust Palmprint Minutiae Extraction Network.- Multi-stage Domain Adaptation for Subretinal Fluid Classification in Cross-device OCT Images.- SaME: Sharpness-Aware Matching Ensemble for Robust Palmprint Recognition.- Weakly Supervised Interaction Discovery Network for Image Sentiment Analysis.- Joint Multi-feature Learning for Facial Age Estimation.- Is CNN Really Looking at Your Face?
• NFW: Towards National and Individual Fairness in Face Recognition.- Adversarial Learning and Networks.- Unsupervised Fabric Defect Detection Based on DCGAN with Component-encoder.- Proactive Student Persistence Prediction in MOOCs via Multi-Domain Adversarial Learning.- Computational Photography.- Deep Rejoining Model for Oracle Bone Fragment Images.- Spatial Spectral Joint Correction Network for Hyperspectral and Multispectral Image Fusion.- Learning Theory and Optimization.- Softplus Function: Extensions of Activation Function and Loss Function by using q-Space.- Super-class Mixup for Adjusting Training Data.- Drop "Noise" Edge: An Approximation of the Bayesian GNNs.- Fast Proximal Policy Optimization.
• (source: Nielsen Book Data)

This two-volume set LNCS 13188 - 13189 constitutes the refereed proceedings of the 6th Asian Conference on Pattern Recognition, ACPR 2021, held in Jeju Island, South Korea, in November 2021. The 85 full papers presented were carefully reviewed and selected from 154 submissions. The papers are organized in topics on: classification, action and video and motion, object detection and anomaly, segmentation, grouping and shape, face and body and biometrics, adversarial learning and networks, computational photography, learning theory and optimization, applications, medical and robotics, computer vision and robot vision.
(source: Nielsen Book Data)

• One-Shot Image Learning Using Test-Time Augmentation.- Offline Handwritten Mathematical Expression Recognition via Graph Reasoning Network.- Circulant Tensor Graph Convolutional Network for Text Classification.- NASformer: Neural Architecture Search for Vision Transformer.- Interference Distillation for Underwater Fish Recognition.- Action and Video and Motion.- Contact-Less Heart Rate Detection in Low Light Videos.- Spatio-temporal Weight of Active Region for Human Activity Recognition.- Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation.- SARNN: A Spatiotemporal Prediction Model for Reducing Error Transmissions.- 3OFRR-SLAM: Visual SLAM with 3D-assisting Optical Flow and Refined-RANSAC.- Motor Imagery Classification based on local log Riemannian distance matrices selected by confusion area score.- Distance-GCN for Action Recognition.- Causal Intervention Learning for Multi-Person Pose Estimation.- Object Detection and Anomaly.- Weakly Supervised Salient Object Detection with Box Annotation.- Foreground-Background Collaboration Network for Salient Object Detection.- Attention Guided Multi-level Feedback Network for Camouflage Object Detection.- Confidence-aware Anomaly Detection in Human Actions.- Segmentation, Grouping and Shape.- 1D Self-Attention Network for Point Cloud Semantic Segmentation using Omnidirectional LiDAR.- COMatchNet: Co-Attention Matching Network for Video Object Segmentation.- Unsupervised Domain Adaptive Point Cloud Semantic Segmentation.- Towards the Target: Self-Regularized Progressive Learning for Unsupervised Domain Adaptation on Semantic Segmentation.- TFNet: Transformer Fusion Network for Ultrasonic Image Segmentation.- Spatial Pyramid-based Wavelet Embedding Deep Convolutional Neural Network for Semantic Segmentation.- CFFNet: Cross-scale Feature Fusion Network for Real-time Semantic Segmentatio.- Semantic Segmentation and Depth Estimation with RGB and DVS Sensor Fusion for Multi-view Driving Perception.- ARTSeg: Employing Attention for Thermal images Semantic Segmentation.- Robust Frequency-Aware Instance Segmentation for Serial Tissue Sections.- Joint Semantic Segmentation and Edge Detection for Waterline Extraction.- Face and Body and Biometrics.- Comparing Facial Expression Recognition in Humans and Machines: Using CAM, GradCAM, and Extremal Perturbation.- Pose Sequence Generation with a GCN and an Initial Pose Generator.- Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing.- Face Anti-Spoofing via Robust Auxiliary Estimation and Discriminative Feature Learning.- PalmNet: A Robust Palmprint Minutiae Extraction Network.- Multi-stage Domain Adaptation for Subretinal Fluid Classification in Cross-device OCT Images.- SaME: Sharpness-Aware Matching Ensemble for Robust Palmprint Recognition.- Weakly Supervised Interaction Discovery Network for Image Sentiment Analysis.- Joint Multi-feature Learning for Facial Age Estimation.- Is CNN Really Looking at Your Face?
• NFW: Towards National and Individual Fairness in Face Recognition.- Adversarial Learning and Networks.- Unsupervised Fabric Defect Detection Based on DCGAN with Component-encoder.- Proactive Student Persistence Prediction in MOOCs via Multi-Domain Adversarial Learning.- Computational Photography.- Deep Rejoining Model for Oracle Bone Fragment Images.- Spatial Spectral Joint Correction Network for Hyperspectral and Multispectral Image Fusion.- Learning Theory and Optimization.- Softplus Function: Extensions of Activation Function and Loss Function by using q-Space.- Super-class Mixup for Adjusting Training Data.- Drop "Noise" Edge: An Approximation of the Bayesian GNNs.- Fast Proximal Policy Optimization.
• (source: Nielsen Book Data)

This two-volume set LNCS 13188 - 13189 constitutes the refereed proceedings of the 6th Asian Conference on Pattern Recognition, ACPR 2021, held in Jeju Island, South Korea, in November 2021. The 85 full papers presented were carefully reviewed and selected from 154 submissions. The papers are organized in topics on: classification, action and video and motion, object detection and anomaly, segmentation, grouping and shape, face and body and biometrics, adversarial learning and networks, computational photography, learning theory and optimization, applications, medical and robotics, computer vision and robot vision.
(source: Nielsen Book Data)

• Biomedical Image Processing and Analysis.- ED-AnoNet: Elastic Distortion-Based Unsupervised Network for OCT Image Anomaly Detection.- BiDFNet: Bi-decoder and Feedback Network for Automatic Polyp Segmentation with Vision Transformers.- FundusGAN: A One-Stage Single Input GAN for Fundus Synthesis.- DIT-NET: Joint Deformable Network and Intra-class Transfer GAN for cross-domain 3D Neonatal Brain MRI segmentation.- Classification of sMRI Images for Alzheimer's Disease by Using Neural Networks.- Semi-Supervised Distillation Learning Based on Swin Transformer for MRI Reconstruction.- Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification.- Automatic glottis segmentation method based on lightweight U-net.- Decouple U-Net: A Method for the Segmentation and Counting of Macrophages in Whole Slide Imaging.- A Zero-training Method for RSVP-based Brain Computer Interface.- An improved tensor network for image classification in histopathology.- DeepEnReg: Joint Enhancement and Ane Registration for Low-contrast Medical Images.- Fluorescence Microscopy Images Segmentation based on Prototypical Networks with a few Annotations.- SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image.- Cascade Multiscale Swin-Conv Network for Fast MRI Reconstruction.- DEST: Deep Enhanced Swin Transformer toward Better Scoring for NAFLD.- CTCNet: A Bi-directional Cascaded Segmentation Network Combining Transformers with CNNs for Skin Lesions.- MR Image Denoising Based On Improved Multipath Matching Pursuit Algorithm.- Statistical characteristics of 3-D PET imaging: a comparison between conventional and total-body PET scanners.- Unsupervised medical image registration based on multi-scale cascade network.- A Novel Local-global Spatial Attention Network for Cortical Cataract Classification in AS-OCT.- PRGAN: A Progressive Refined GAN for Lesion Localization and Segmentation on High-Resolution Retinal fundus Photography.- Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction.- Robust Liver Segmentation Using Boundary Preserving Dual Attention Network.- msFormer: Adaptive Multi-Modality 3D Transformer for Medical Image Segmentation.- Semi-supervised Medical Image Segmentation with Semantic Distance Distribution Consistency Learning.- MultiGAN: multi-domain image translation from OCT to OCTA_ TransPND: A Transformer based Pulmonary Nodule Diagnosis Method on CT Image.- Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment.- A 2.5D Coarse-to-fine Framework for 3D Cardiac CT View Planning.- Weakly Supervised Semantic Segmentation of Echocardiography Videosvia Multi-level Features Selection.- DPformer: Dual-path transformers for geometric and appearancefeatures reasoning in diabetic retinopathy grading.- Deep Supervoxel Mapping Learning for Dense Correspondence of Cone-Beam Computed Tomography.- Manifold-Driven and Feature Replay Lifelong Representation Learning on Person ReID.- Multi-source information-shared domain adaptation for EEG emotion recognition.- Spatial-Channel Mixed Attention based Network for Remote Heart Rate Estimation.- Weighted Graph Based Feature Representation for Finger-Vein Recognition.- Self-Supervised Face Anti-Spoofng via Anti-Contrastive Learning.- Counterfactual Image Enhancement for Explanation of Face Swap Deepfakes.- Improving Pre-trained Masked Autoencoder with Locality Enhancement for Person Re-identification.- MINIPI : a MultI-scale Neural network based impulse radio ultra-wideband radar Indoor Personnel Identification method.- PSU-Net: Paired Spatial U-Net for hand segmentation with complex backgrounds.- Pattern Classification and Clustering.- Human Knowledge-Guided and Task-Augmented Deep Learning for Glioma Grading.- Learning to Cluster Faces with Mixed Face Quality.- Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data.- Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering.- Combating Noisy Labels via Contrastive Learning with Challenging Pairs.- Semantic Center Guided Windows Attention Fusion Framework for Food Recognition.- Adversarial Bidirectional Feature Generation for Generalized Zero-Shot Learning under Unreliable Semantics.- Exploiting Robust Memory Features for Unsupervised Reidentification.- TIR: A Two-stage Insect Recognition method for convolutional neural network.- Discerning Coteaching: A Deep Framework for Automatic Identification of Noise Labels.- VDSSA: Ventral & Dorsal Sequential Self-attention AutoEncoder for Cognitive-Consistency Disentanglement.- Bayesian Neural Networks with Covariate Shift Correction for Classification in -ray Astrophysics.
• (source: Nielsen Book Data)

The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
(source: Nielsen Book Data)

• 3D Computer Vision and Reconstruction, Robots and Autonomous Driving.- Locally Geometry-Aware Improvements of LOP for Ecient Skeleton Extraction.- Spherical Transformer: Adapting Spherical Signal to Convolutional Networks.- Waterfall-Net: Waterfall Feature Aggregation for Point Cloud Semantic Segmentation.- Sparse LiDAR and Binocular Stereo Fusion Network for 3D Object Detection.- Full Head Performance Capture Using Multi-Scale Mesh Propagation.- Learning Cross-domain Features for Domain Generalization on Point Clouds.- Unsupervised Pre-training for 3D Object Detection with Transformer.- Global Patch Cross-Attention for Point Cloud Analysis.- EEP-Net: Enhancing local neighborhood features and Ecient semantic segmentation of scale Point Clouds.- CARR-Net: Leveraging on Subtle Variance of Neighbors for Point Cloud Semantic Segmentation.- 3D Meteorological Radar Data Visualization with Point Cloud Completion and Poisson Surface Reconstruction.- JVLDLoc: a Joint Optimization of Visual-LiDAR Constraints and Direction Priors for Localization in Driving Scenario.- A Single-pathway Biomimetic Model for Potential Collision Prediction.- PilotAttnNet: Multi-Modal Attention Network for End-to-End SteeringControl.- Stochastic Navigation Command Matching for Imitation Learning of a Driving Policy.- Recognition, Remote Sensing.- Group Activity Representation Learning with Self-Supervised Predictive Coding.- Skeleton-Based Action Quality Assessment via Partially Connected LSTM with Triplet Losses.- Hierarchical Long-Short Transformer for Group Activity Recognition.- GNN-based structural dynamics simulation for modular buildings.- Semantic-Augmented Local Decision Aggregation Network for Action Recognition.- Consensus-Guided Keyword Targeting for Video Captioning.- Handwritten Mathematical Expression Recognition via GCAttention- Based Encoder and Bidirectional Mutual Learning Transformer.- Semi- and Self-Supervised Learning for Scene Text Recognition with Fewer Labels.- TMCR: A Twin Matching Networks for Chinese Scene Text Retrieval.- Thai Scene Text Recognition with Character Combination.- Automatic Examination Paper Scores Calculation and Grades Analysis Based on OpenCV.- Efficient License Plate Recognition via Parallel Position-aware Attention.- Semantic-Aware Non-Local Network for Handwritten Mathematical Expression Recognition.- Math Word Problem Generation with Memory Retrieval.- Traditional Mongolian Script Standard Compliance Testing Based on Deep Residual Network and Spatial Pyramid Pooling.- FOV Recognizer: Telling the Field of View of Movie Shots.- Multi-Level Temporal Relation Graph for Continuous Sign Language Recognition.-Beyond Vision: A Semantic Reasoning Enhanced Model for Gesture Recognition with Improved Spatiotemporal Capacity.- SemanticGAN: Facial Image Editing with Semantic to Realize Consistency.- Least-squares Estimation of Keypoint Coordinate for Human Pose Estimation.- Joint Pixel-level and Feature-level Unsupervised Domain Adaptation for Surveillance Face Recognition.- Category-oriented Adversarial Data Augmentation via Statistic Similarity for Satellite Images.- A Multi-scale Convolutional Neural Network Based on Multilevel Wavelet Decomposition for Hyperspectral Image Classification.- High Spatial Resolution Remote Sensing Imagery Classification Based on Markov Random Field Model Integrating Granularity and Semantic Feature.- Feature Difference Enhancement Fusion for Remote Sensing Image Change Detection.- WAFormer Ship Detection in SAR Images Based on Window-aware Swin-Transformer.- EllipseIoU: A General Metric for Aerial Object Detection.- Transmission tower detection algorithm based on feature-enhanced convolutional network in remote sensing image.- Vision Analysis and Understanding.- Mining Diverse Clues with Transformers for Person Re-identification.- Mutual Learning Inspired Prediction Network for Video Anomaly Detection.- Weakly Supervised Video Anomaly Detection with Temporal and Abnormal Information.- Towards Class Interpretable Vision Transformer with Multi-Class-Tokens.- Multimodal Violent Video Recognition based on Mutual Distillation.- YFormer: a New Transformer Architecture for Video-query Based Video Moment Retrieval.- Hightlight Video Detection in Figure Skating.- Memory Enhanced Spatial-Temporal Graph Convolutional Autoencoder for Human-related Video Anomaly Detection.- Background Suppressed and Motion Enhanced Network for Weakly Supervised Video Anomaly Detection.- Dirt Detection and Segmentation Network for Autonomous Washing Robots.- Finding Beautiful and Happy Images for Mental Health and Well-being Applications.- Query-UAP: Query-ecient Universal Adversarial Perturbation for Large-scale Person Re-Identification Attack.- Robust Person Re-identification with Adversarial Examples Detection and Perturbation Extraction.- Self-Supervised and Template-Enhanced Unknown-Defect Detection.- JoinTW: A Joint Image-to-Image Translation and Watermarking Method.
• (source: Nielsen Book Data)

The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
(source: Nielsen Book Data)