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• AI in Industrial Applications
• Application of AI for Disease Classification and Trend Analysis
• Design of agricultural applications using AI
• Disease Classification Using CNN

This two-volume set constitutes reviewed and selected papers from the 12th International Advanced Computing Conference, IACC 2022, held in Hyderabad, India, in December 2022. The 72 full papers and 6 short papers presented in the volume were thorougly reviewed and selected from 415 submissions. The papers are organized in the following topical sections: AI in industrial applications; application of AI for disease classification and trend analysis; design of agricultural applications using AI; disease classification using CNN; innovations in AI; system security and communication using AI; use of AI in human psychology; use of AI in music and video industries

• Innovations in AI
• System Security and communication using AI
• Use of AI in Human Psychology
• Use of AI in Music and Video Industries

This two-volume set constitutes reviewed and selected papers from the 12th International Advanced Computing Conference, IACC 2022, held in Hyderabad, India, in December 2022. The 72 full papers and 6 short papers presented in the volume were thorougly reviewed and selected from 415 submissions. The papers are organized in the following topical sections: AI in industrial applications; application of AI for disease classification and trend analysis; design of agricultural applications using AI; disease classification using CNN; innovations in AI; system security and communication using AI; use of AI in human psychology; use of AI in music and video industries

• Computer Vision.- Automated On-Vehicle Road Defect Data Collection and Detection.- Vision Transformer Based Model for Describing a Set of Images as a Story.- Diverse Audio-to-Video GAN using Multiscale Image Fusion.- Zero-shot Personality Perception From Facial Images.- Multi-view based clustering of 3D LiDAR point clouds for intelligent vehicles.- Deep Learning.- FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity.- SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation.- Explainable Detection of Microplastics Using Transformer Neural Networks.- EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search.- Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning.- The Feasibility of Deep Counterfactual Regret Minimisation for Trading Card Games.- Are Graph Neural Network Explainers Robust to Graph Noises?.- Ethical/Explainable AI.- Towards Explainable AutoML Using Error Decomposition.- Does A Compromise on Fairness Exist in Using AI Models?.- Fairness Aware Swarm-based Machine Learning for Data Streams.- Explainable Network Intrusion Detection Using External Memory Models.- Genetic Algorithms.- Handling Different Preferences between Objectives for Multi-objective Feature Selection in Classification.- Genetic Algorithm with a Novel Leiden-based Mutation Operator for Community Detection.- Evolution Strategies for Sparse Reward Gridworld Environments.- Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers.- Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming.- Knowledge Representation and NLP.- QUARRY: A Graph Model for Queryable Association Rules.- Using Context-Free Grammar To Generate Synthetic Technical Short Texts.- Predicting Marimba Stickings Using Long Short-Term Memory Neural Networks.- Systematic Monotonicity and Consistency for Adversarial Natural Language Inference.- Understanding Document Data Sources Using Ontologies with Referring Expressions.- Tyche: A Library for Probabilistic Reasoning and Belief Modelling in Python.- Belief Revision with Dishonest Reports.- Machine Learning.- Active Learning for kNN using Instance Impact.- Multiclass Malware Classification using either Static Opcodes or Dynamic API Calls.- A Novel Approach to Time Series Complexity via Reservoir Computing.- Boosted Self-Evolving Neural Networks for Pattern Recognition.- Machine learning inspired fault detection of dynamical networks.- Medical AI.- Multiclass Classification for GvHD Prognosis Prior to Allogenic Stem Cell Transplantation.- What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification.- Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach.- Automated Radiology Report Generation using a Transformer-Template System: Improved Clinical Accuracy and an Assessment of Clinical Safety.- 3D Face Reconstruction with Mobile Phone Cameras for Rare Disease Diagnosis.- Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes.- Cognitive impairment prediction by normal cognitive brain MRI scans using deep learning.- A Text-Independent Forced Alignment Method for Automatic Phoneme Segmentation.- Multi-componential Emotion Recognition in VR Using Physiological Signals.- Liver Disease Classification by Pruning Data Dependency Utilizing Ensemble Learning Based Feature Selection.- Medical Optimization.- Optimizing the Feature Set for Machine Learning Charitable Predictions.- Operation-based Greedy Algorithm for Discounted Knapsack Problem.- Dynamic Bus Holding Control Using Spatial-Temporal Data - A Deep Reinforcement Learning Approach.- Latent Pattern Identification using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization.- Efficiency and Truthfulness in Dial-a-Ride Problems with Customers Location Preferences.- Reinforcement Learning.- Human-Autonomous Teaming Framework based on Trust Modelling.- Using Uncertainty as a Defense Against Adversarial Attacks for Tabular Datasets.- Autonomous UAV Navigation in Wilderness Search-and-Rescue Operations Using Deep Reinforcement Learning.- Active Learning Using Difficult Instances.- Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals.- Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach.- A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference Error.- Examining average and discounted reward optimality criteria in reinforcement learning.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 35th Australasian Joint Conference on Artificial Intelligence, AI 2022, which took place in Perth, WA, Australia, in December 5-8, 2022. The 56 full papers included in this book were carefully reviewed and selected from 90 submissions. They were organized in topical sections as follows: Computer Vision; Deep Learning; Ethical/Explainable AI; Genetic Algorithms; Knowledge Representation and NLP; Machine Learning; Medical AI; Optimization; and Reinforcement Learning.
(source: Nielsen Book Data)

• Advances in the use of artificial intelligence and sensor technologies for managing industrial workplace safety
• Implementation of deep learning to prevent peak-driven power outages within manufacturing systems
• Reproductive autonomy conformity assessment of purposed AI system
• The projects evaluation and selection by using MCDM and intuitionistic fuzzy sets
• Cost effectiveness analysis of real and in silico clinical trials for stent deployment based on decision tree.

The book is covering knowledge and results in theory, methodology, and applications of artificial intelligence and machine learning in academia and industry. Nowadays, artificial intelligence has been used in every company where intelligence elements are embedded inside sensors, devices, machines, computers and networks. The chapters in this book integrated approach toward global exchange of information on technological advances, scientific innovations, and the effectiveness of various regulatory programs toward AI application in medicine, biology, chemistry, financial, games, law, and engineering. Readers can find AI application in industrial workplace safety, manufacturing systems, medical imaging, biomedical engineering application, different computational paradigm, COVID-19, liver tracking, drug delivery system, and cost-effectiveness analysis. Real examples from academia and industry give beyond state of the art for application of AI and ML in different areas. These chapters are extended papers from the First Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 1920, 2022.

• Data Mining
• Metaheuristics and Swarm Intelligence
• Computer Vision
• Artificial Intelligence Applications
• Machine and Deep Learning
• NLP and Text mining

This volume constitutes selected papers presented during the 5th Artificial Intelligence Doctoral Symposium, AID 2022, held in Algiers, Algeria, in September 2022. The 22 presented full papers were thoroughly reviewed and selected from the 38 qualified submissions. They are organized in the following topical sections: data mining; metaheuristics and swarm intelligence; computer vision; Artificial Intelligence applications; machine and deep learning; NLP and text mining

• Information Systems, Mathematics and Data Analyses.- Anomaly detection in IoT using Extended Isolation Forest.- A novel dimensional reduction strategy based on a fine-pruned decision tree classifier for detecting DDoS attacks in cloud computing environments.- A survey on Large Dataset Minimum Spanning Trees.- Characterization of Simple Sequence Repeats: Evolutionary Implications from Ancient Human Mitochondrial Genome.- Comparative Exploration of Statistical Techniques for Landslide Identification and Zonation Mapping and Assessment: A Critical Review.- Enhanced Security and Privacy for IoT based Locker System operated at Low Frequency Spectrum using Blockchain.- Genetic Algorithm Based Adaptive PID Tuning of Time Delay Process.- Hybridization of Sine-Cosine Algorithm with K-Means for Pathology Image Clustering.- Industrial Warehouse Robot Simulation Using ROS.- Major Challenges and Threats of Blockchain Technology.- SecVT: Securing the Vehicles of Tomorrow using Blockchain Technology.- Applied Artificial Intelligence.- A Comparative Analysis of Machine Learning Based Sentiment Analysis.- ANN-Based Performance Prediction in MoCs.- Assessment of shallow and deep learning models for prediction of sea surface temperature.- Bioinformatics Analysis of Oral Squamous Cell Carcinomas and Their Interaction to Identify Molecular Signatures.- Music Learning Android App Development forAutistic Children.- NecklaceFIR: A large volume benchmarked necklace dataset for fashion image retrieval.- Optimal Sample Size Calculation for Machine Learning Based Analysis for Suicide Ideation.- Query Focused Video Summarization: A Review.- Sleep-wake classification using acceleration data from wearable wrist worn sensors: review.- Understanding Fake News Detection on Social Media: A Survey on Methodologies and Datasets.- Freshness quality detection of tomatoes using computer vision.- Facial Gesture Recognition based Real Time Gaming for Physically Impairment.- Deep Learning approaches for analysis and detection of Tomato leaf diseases.- Prediction of Impact Energy of Steel using Artificial Neural Network.- A New Method of Galaxy Classification Using Optimal Convolution Neural Network.- Early Detection of Pneumonia using Deep Learning Approach.- Concrete Crack Segmentation using Histogram Based Fast Clustering and Morphological Operators.- Human Gender Classification based on Hand Images using Deep Learning.- Artificial Intelligence based Smart Government Enterprise Architecture (AI-SGEA) Framework.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the First International Symposium on Artificial Intelligence, ISAI 2022, held in Haldia, India, during February 17-22, 2022. The 30 full papers included in this book were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: information systems, mathematics and data analyses; and applied artificial intelligence. .
(source: Nielsen Book Data)

• Deep Learning and Neural Networks
• Machine Learning
• Computer Vision
• Knowledge Representation and Reasoning
• Probabilistic Reasoning
• Statistical Learning
• Reinforcement Learning
• Decision Making
• Fuzzy Systems
• Evolutionary Computing
• Inference and Prediction
• Human-Inspired Learning and Computing
• Autonomous Vehicle
• Data Mining
• Spoken Language Processing
• Pattern Analysis and Recognition
• Robotics
• AI for Sensing
• AI for Communications
• AI for Internet of Things
• AI for Signal Processing
• AI for Education
• AI for Healthcare
• AI for Other Applications.

This book brings together papers presented at the 4th International Conference on Artificial Intelligence in China (ChinaAI), Changbaishan, China, on July 23-24, 2022, which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE, etc).

• Chapter 1: Semantic Modeling of Predicate Calculus Based on N-Tuple Algebra
• Chapter 2: Method of Iterative-Order Optimization of Multicriteria Problems Using the Local Importance of Criteria
• Chapter 3: Neural Network Representation for Ordinary Differential Equations
• Chapter 4: Modeling Situations in Spatial Analysis.

This book is based on the accepted research papers presented in the International Conference "Artificial Intelligence in Engineering & Science" (AIES-2022). The aim of the AIES Conference is to bring together researchers involved in the theory of computational intelligence, knowledge engineering, fuzzy systems, soft computing, machine learning and related areas and applications in engineering, bioinformatics, industry, medicine, energy, smart city, social spheres and other areas. This book presents new perspective research results: models, methods, algorithms and applications in the field of Artificial Intelligence (AI). Particular emphasis is given to the medical applications - medical images recognition, development of the expert systems which could be interesting for the AI researchers as well for the physicians looking for the new ideas in medicine. The central audience of the book are researchers, industrial practitioners, students specialized in the Artificial Intelligence.

• Algorithmic, Data Driven and Symbolic AI.- Socio-technical and human-centered AI.- Responsible and Ethical AI.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Third Southern African Conference on Artificial Intelligence Research, SACAIR 2022, held in Stellenbosch, South Africa, in December 2022. The 26 papers presented were thoroughly reviewed and selected from the 73 submissions. They are organized on the topical sections on algorithmic, data driven and symbolic AI; socio-technical and human-centered AI; responsible and ethical AI. .
(source: Nielsen Book Data)

• A Probabilistic Method to Identify HTTP/1.1 Slow Rate DoS Attacks
• 1 Introduction
• 2 Background
• 2.1 HTTP/1.1
• 2.2 Slow Rate HTTP/1.1 DoS Attacks
• 3 Related Work
• 4 Proposed Detection Approach
• 4.1 Training Phase
• 4.2 Testing Phase
• 4.3 Selecting Threshold Value([beta])
• 5 Experimental Results
• 5.1 Testbed Architecture
• 5.2 Data Collection for Training Phase
• 5.3 Data Collection for Testing Phase
• 6 Conclusion
• References
• Transmission Pricing Using MW Mile Method in Deregulated Environment
• 1 Introduction
• 2 Problem Statement

• Intro
• Preface
• Contents
• Editors and Contributors
• Development of PMSM Servo Driver for CNC Machines Using TMS28379D Microcontroller
• 1 Introduction
• 2 Literature Review
• 3 Methods
• 3.1 PMSM Servo Driver Hardware Configuration
• 3.2 Scale Factor
• 3.3 Dynamic Model for PMSM
• 3.4 Applying PID Controller to the PMSM Servo Driver
• 3.5 Trapezoidal Motion Profile Calculation
• 3.6 Features for PMSM Servo Driver
• 3.7 PC-Based Software Design
• 4 Results
• 5 Discussion
• 6 Conclusions and Future Work
• References

• 3 Five-Bus Test System and Relevant Data
• 4 Methodology
• 4.1 MW Mile Method
• 5 Results and Discussion
• 6 Conclusion
• References
• Performance Analysis of Nonlinear Companding Techniques for PAPR Mitigation in 5G GFDM Systems
• 1 Introduction
• 2 GFDM System Model
• 3 PAPR and HPA Nonlinearity in GFDM
• 4 PAPR Reduction Techniques
• 4.1 Mu Law Companding
• 4.2 Root Companding
• 4.3 Exponential Companding
• 5 Performance Evaluation
• 6 Conclusion
• References
• Tensor Completion-Based Data Imputation Framework for IoT-Based Underwater Sensor Network
• 1 Introduction

• 2 Related Work
• 3 Description of the Missing Data Problem and Representation of Dataset in a 3D Tensor
• 4 Tensor Completion-Based Data Imputation Framework for the IoT-USN System
• 5 Result Evaluation and Analysis
• 5.1 Description of Water Sensor Dataset
• 5.2 Result Analysis in Terms of RMSE and MAPE
• 6 Conclusion
• References
• Pre-training Classification and Clustering Models for Vietnamese Automatic Text Summarization
• 1 Introduction
• 2 Related Work
• 3 Model
• 3.1 Proposed Summary Model
• 3.2 The kmeans Clustering
• 3.3 Stochastic Gradient Descent

• 3.4 Word Representation
• 3.5 Cosine Distance
• 3.6 ROUGE
• 4 Experiment
• 4.1 Data Set
• 4.2 Evaluating Computer
• 4.3 Training, Summarizing, and Parameters
• 4.4 Results
• 5 Conclusion and Future Work
• References
• Identifying Critical Transition in Bitcoin Market Using Topological Data Analysis and Clustering
• 1 Introduction
• 2 Literature Survey
• 3 Experimental Overview
• 3.1 Dataset
• 3.2 Algorithms Used
• 3.3 Experimental Values Used
• 4 Results
• 4.1 Cluster Validation
• 5 Conclusion and Future Work
• References

This book gathers selected research papers presented at the Fourth International Conference on Communication and Intelligent Systems (ICCIS 2022), organized by the National Institute of Technology, Delhi, India, during December 1920, 2022. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source. The work is presented in two volumes

• 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)

• Intelligent Systems in Agriculture.- Intelligent Systems in Internet of Things and Cloud Computing.- Intelligent Systems in Image Processing and Deep Learning.- Cyber Security and Data Security.- Intelligent Systems for Social Welfare I.- Intelligent Systems for Social Media.
• (source: Nielsen Book Data)

This book comprises the proceedings of the International Conference on Intelligent Systems and Applications (ICISA 2022). The contents of this volume focus on novel and modified artificial intelligence and machine learning-based methods and their applications in robotics, pharmaceutics, banking & finance, agriculture, food processing, crime prevention, smart homes, transportation, traffic control, and wildlife conservation, etc. This volume will prove a valuable resource for those in academia and industry. .
(source: Nielsen Book Data)

• A Hybrid Model for Predicting Road Accident Severity in Senegal
• An Efficient Machine Learning Algorithms for Breast Cancer Prediction
• A New Similarity Measure for Multi Criteria Recommender System
• Speeding up and Enhancing the Hyperspectral Images Classification
• A Healthcare System Based on Fog Computing
• An Improved Arithmetic Optimization Algorithm with Differential Evolution and Chaotic Local Search
• An Optimized Neural Network for Evaluation Cisplatin Role in Neoplastic Treatment.

This book collects different artificial intelligence methodologies that applied to solve real-world problems. This book has exciting chapters that employ artificial intelligence and applied to different applications based on integration with meta-heuristic and other techniques. The area of applications is including medical diagnosis, text analysis, cloud computing, and others which will enrich the reader. In this sense, the book provides practical and theory content with novel artificial intelligence techniques. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics and is applied in courses on artificial intelligence, optimization techniques, advanced machine learning, among others.

• JURISIN 2022
• Differential-aware Transformer for Partially Amended Sentence Translation
• On Complexity and Generality of Contrary Prioritized Defeasible Theory
• Mapping Similar Provisions between Japanese and Foreign Laws
• COLIEE 2022 Summary: Methods for Legal Document Retrieval and Entailment
• JNLP team: Deep Learning Approaches for Tackling Long and Ambiguous Legal Documents in COLIEE 2022
• Semantic-based Classification of Relevant Case Law
• nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models
• HUKB at the COLIEE 2022 Statute Law Task
• Using Textbook Knowledge for Statute Retrieval and Entailment Classification
• Legal Textual Entailment using Ensemble of Rule-based and BERT-based method with Data Augmentation by Related Article Generation
• Less is Better: Constructing Legal Question Answering System by Weighing Longest Common Subsequence of Disjunctive Union Text
• JSAI 2022 International Session
• Proposal for Turning Point Detection Method using Financial Text and Transformer
• Product Portfolio Optimization for LTV Maximization
• An Examination of Eating Experiences in Relation to Psychological States, Loneliness, and Depression Using BERT
• Objective Detection of High-risk Tackle in Rugby by Combination of Pose Estimation and Machine Learning
• Incremental informational value of floorplans for rent price prediction - Applications of modern computer vision techniques in real-estate
• Transaction Prediction by Using Graph Neural Network and Textual Industry Information
• Overfitting Problem in the Approximate Bayesian Computation Method Based on Maxima Weighted Isolation Kernel.

This book constitutes extended, revised, and selected papers from the JSAI annual conference, JSAI 2022, and the 14th International Symposium on Artificial Intelligence, JSAI-isAI 2022, held in Kyoto, Japan, in June 2022. The 18 full papers were carefully selected from 67 submissions and presented during the two events: 16th International Workshop on Juris-informatics, JURISIN 2022, and JSAI 2022 Intenational Session. This papers present discussion on fundamental and practical issues in Juris-informatics among researchers from various backgrounds such as law, social science, information and intelligent technology, logic, and philosophy, including the conventional AI and Law area.

• Intro
• Preface
• Contents
• Intelligent Electrical and Electronic Systems
• Post Quantum Cryptography Algorithms: A Review and Applications
• 1 Introduction
• 2 Vulnerability of Classical Cryptosystems
• 3 Various PQC Algorithms
• 3.1 Hash Based Digital Signature Schemes
• 3.2 Code Based Schemes
• 3.3 Lattice Based Cryptosystems
• 3.4 Multivariate Public Key Cryptography Schemes
• 3.5 Chaos Based PQCs
• 4 Conclusion
• References
• Performance Analysis of Hetero-Dielectric Buried Oxide Double Gate Vertical TFET
• 1 Introduction
• 2 Architure of Device and Specifications

• 3 Simulation results and Discussion
• 3.1 DC Characteristics
• 3.2 Analog Characteristics
• 4 Conclusion
• References
• Biodigester Application to Generate Electricity and Improve the Quality of Life
• 1 Introduction
• 2 Literature Review
• 2.1 Biodigester
• 2.2 Biogás
• 2.3 Biol
• 3 Materials and Methods
• 3.1 Social Aspects
• 3.2 Environmental Aspects
• 4 Results
• 4.1 Location of the Proposal
• 4.2 Estimation of Energy Demand and Supply
• 4.3 Lines of Action
• 4.4 Scenery
• 5 Discussion
• 6 Conclusion
• 7 Recomendacione
• References

• Design and Analysis of Permanent Magnet Linear Generator Using FEM Based Software
• 1 Introduction
• 2 Permanent Magnet Linear Generator
• 2.1 Construction
• 2.2 Working
• 3 Designing PMLG in MAXWELL 2D
• 3.1 Designing of 2D Model
• 3.2 Results
• 4 Designing PMLG Prototype in Maxwell 3D
• 4.1 Designed Model
• 4.2 Results
• 5 Conclusion
• References
• Power Allocation for Non-orthogonal Multiple Access (PA-NOMA) Strategy Under Rayleigh Fading Channel and User Mobility
• 1 Introduction
• 2 System Model and Problem Formulation
• 2.1 Problem Formulation
• 3 Simulation Results

• 4 Conclusion
• References
• Comparative Analysis of Bridgeless Interleaved Boost PFC and Interleaved Boost PFC for 3.3 kW Battery Charger
• 1 Introduction
• 2 Interleaved Boost PFC (IB PFC)
• 2.1 Control Technique for IB PFC
• 2.2 Design Various Parameter of Interleaved Boost PFC
• 3 Bridgeless Interleaved Boost PFC
• 3.1 Working Operation of Bridgeless IB PFC
• 3.2 Control Technique for Bridgeless IB PFC
• 3.3 Design the Simulation Parameters of Bridgeless Interleaved Boost PFC
• 4 Simulation and Results
• 4.1 Simulation Model:
• 4.2 Simulation Results:

• 4.3 Comparison Between Interleaved Boost PFC and Bridgeless Interleaved Boost PFC
• 5 Conclusion
• References
• Modeling of Energy-Saving Technologies in Traction Rolling Stock Projects
• 1 Introduction
• 2 Formulation of the Problem
• 3 Research Materials
• 3.1 Methods of Modeling Energy-Saving Technologies
• References
• Support in the Neurorehabilitation for Older People Using a Mobile Application
• 1 Introduction
• 2 Research Background
• 3 Implementation
• 4 Results
• 5 Conclusions
• References

This book gathers the proceedings of the 7th International Conference on Intelligent Technologies (ICIT 2022) held on December 1618, 2022, at the University of Pembangunan Jaya, Jakarta, Indonesia. The respective contributions from industrial practitioners and researchers present advanced studies related to application of intelligent technologies in various fields of research industry and society. This includes applications in variety of fields such as computational intelligence, data science and engineering, communication and networking, signal and image processing, electrical devices, circuits systems, robotics, instrumentation, automation, biomedical, and health care

• Applications of AI.- Ethics and Smart City.- Green and Sustainable AI.- Machine Learning.- Natural Language Processing.- Robotics and Computer Vision.- Simulation and Forecasting.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 17th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2022, held in Cartagena de Indias, Colombia, in November 2022. The 33 full and 4 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: applications of AI; ethics and smart city; green and sustainable AI; machine learning; natural language processing; robotics and computer vision; simulation and forecasting.
(source: Nielsen Book Data)

This book constitutes revised selected papers from the refereed proceedings of the 20th International Conference of the Italian Association for Artificial Intelligence, AIxIA 2021, which was held virtually in December 2021. The 36 full papers included in this book were carefully reviewed and selected from 58 submissions; the volume also contains 12 extended and revised workshop contributions. The papers were organized in topical sections as follows: Planning and strategies; constraints, argumentation, and logic programming; knowledge representation, reasoning, and learning; natural language processing; AI for content and social media analysis; signal processing: images, videos and speech; machine learning for argumentation, explanation, and exploration; machine learning and applications; and AI applications.

• Breast Ultrasound Tumor Detection Based on Active Learning and Deep Learning.- Adaptive Sliding Mode Control for A Hydraulic Position Servo System.- Multimodal Interaction Fusion Network Based on Transformer for Video Captioning.- A Composite Position Control of Flexible Lower Limb Exoskeleton Based on Second-order Sliding.- An Image Enhancement Method Based on Multi-scale Fusion.- Research on Construction Technology of Graph Data Model.- Face Detection Based on Improved MTCNN in Non-Uniform Light Environment.- Optimal SVM using An Improved FOA of Evolutionary Computing.- Sliding Mode Control for Manipulator Based on Non-linear Disturbance Observer.- Analysis And Control for Bilateral Teleoperation Systems with Part Active Power.- Content Extraction of Chinese Archive Images via Synthetic and Real Data.- An Active Robotic Detumbling Method based on Deep Reinforcement Learning for Non-cooperative Spacecraft..- A Bilateral Controller for Pharyngeal Swab Test Teleoperation System.- Enhanced Feature Fusion and Multiple Receptive Fields Object Detection.- An Object Detection and Pose Estimation Method for AR Application.- Learning Visual Tempo for Action Recognition.- Research on The Identification Method of Audiovisual Model of EEG Stimulation Source.- Deep Learning-based Virtual Trajectory Generation Scheme.- Intrusion Tolerance Quantitative Calculation for Energy Internet Data.- Data Security Knowledge Graph for Active Distribution Network.- Design of MobileNetV1 SSD Target Detection Accelerator Based on FPGA.- Transformer-Based Point Cloud Classification.- Underwater Object Tracking Based on Error Self-Correction.- Novel Elimination Method of Baseline Drift Based on Improved Least Square Method.- Point Cloud Driven Object Classification: A Review.- Intelligent Identification of Similar Customers for Electricity Demand Estimation based on Metadata of Household Background.- A SQL Injection Attack Recognition Model Based on 1D Convolutional Neural Network.- Controlled Makeup Editing with Deep Generative Adversarial Network.- Network Traffic Classification Method of Power System Based on DNN and K-means.- Research on Server Activity of Power Grid System Based on Deep Learning.- Feature Analysis of Electroencephalogram Signals Evoked by Machine Noise.- Cs-YOWO: Human Behavior Detection Model Based on Attention Mechanism.- Attention-based Dynamic Graph CNN for Point Cloud Classification.- Impedance Synovial Control for Lower Limb Rehabilitation Exoskeleton System.- L-FPN R-CNN: An Accurate Detector for Detecting Bird Nests in Aerial Power Tower Pictures.- PBLF: Prompt Based Learning Framework for Cross-modal Recipe Retrieval.- Predictive Information Preservation via Variational Information Bottleneck for Cross-view Geo-Localization.- Invariant EKF Based Mobile Robot Simultaneous Localization and Mapping Navigation.
• (source: Nielsen Book Data)

This two-volume set (CCIS 1700-1701) constitutes the refereed proceedings from the 7th International Symposium on Artificial Intelligence, ISAIR 2022, held in Shanghai, China, in October 2022. The 69 presented papers were thoroughly reviewed and selected from 285 submissions. The volumes present the state-of-the-art contributions on the cognitive intelligence, computer vision, multimedia, Internet of Things, robotics, and related applications.
(source: Nielsen Book Data)

• Brain Modeling for Surgical Training on the Basis of Unity 3D.- Motion Saliency Detection Based on Drosophila Vision-inspired Model.- Exploring the Potential of Facial Physiological Signature on Happiness Detection.- Research on Matching Mechanism and Route Planning of Intercity Carpool.- Predicting Stock Market Index Further Trends based on The One-dimensional Convolutional Neural Network.- Image Undistortion and Stereo Rectification Based on Central Ray-Pixel Models.- GGM-Net: Gradient Constraint on Multi-Category Brain MRI Segmentation.- Linear split attention for Pavement Crack Detection.- Information Acquisition and Feature Extraction of Motor Imagery EEG.- MLRA-Net: A Multi-scale Transformer and CNNs Network for Stroke Lesion Segmentation.- Lightweight 3D Point Cloud Classification Network.- Unsupervised Domain Adaptive Image Semantic Segmentation Based on Convolutional Fine-grained Discriminant and Entropy Minimization.- Ensemble of Classification and Matching Models with Alpha-Refine for UAV Tracking.- LayoutLM-Critic: Multimodal Language Model for Text Error Correction of Optical Character Recognition.- Blind Image Deblurring via Fast Local Extreme Intensity Prior.- STRDD: Scene Text Removal with Diffusion Probabilistic Models.- Geometry-Aware Network for Table Structure Recognition in Wild.- A Differential Evolution Algorithm with Adaptive Population Size Reduction Strategy.- A Semi-supervised Road Segmentation Method for Remote Sensing Image Based on SegFormer.- Cross-Layer Feature Attention Module for Multi-Scale Object Detection.- Interact-Pose Datasets for 2D Human Pose Estimation in Multi-Person Interaction Scene.- Multimodal Breast Cancer Diagnosis Based on Multi-level Fusion Network.- Behavior Control of Cooperative Vehicle Infrastructure System in Container Terminals Based on Q-learning.- Backdoor Attack Against Deep Learning-based Autonomous Driving with Fogging.- A Study on Japanese Text Multi-Classification with ALBERT-TextCNN.- Part based Face Stylization via Multiple Generative Adversarial Networks.- Network Intrusion Detection Method Based on Optimized Multiclass Support Vector Machine.- Face Recognition Based on Inverted Residual Network in Complex Environment of Mine.- Comprehensive Optimization for Non-Coal Objects Recognition on Conveyor Belt Based on Deep Learning.- Automated Cobb Angle Measurement using MVIE-Net Combined with Vertebral Segmentation and Landmarks Detection.- Neuromorphic Computing Model Evoked by Audio Vision for Patrol Robot.- Emotion-Sentence-DistilBERT: A Sentence-BERT-based Distillation Model for Text Emotion Classification.- Gait Recognition for Laboratory Safety Management Based on Human Body Pose Model.- Use Active Learning to Construct Japanese Emoji Emotion Database.- Target-driven Autonomous Robot Exploration in Mappless Indoor Environments Through Deep Reinforcement Learning.- Background Subtraction Based on Visual Saliency.- Image Rectification of Industrial Equipment Nameplate Based on Progressive Probabilistic Hough Transform.
• (source: Nielsen Book Data)

This two-volume set (CCIS 1700-1701) constitutes the refereed proceedings from the 7th International Symposium on Artificial Intelligence, ISAIR 2022, held in Shanghai, China, in October 2022. The 67 presented papers were thoroughly reviewed and selected from 285 submissions. The volumes present the state-of-the-art contributions on the cognitive intelligence, computer vision, multimedia, Internet of Things, robotics, and related applications.
(source: Nielsen Book Data)