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• MEG Signal Reconstruction via Low-Rank Matrix Recovery for Source Imaging in Simulations.- Silhouette Photo Style Transfer.- Improved Rao-Blackwellised Particle Filter based on randomly weighted PSO.- Local Binary Pattern Metric-based Multi-Focus Image Fusion.- Photo Aesthetic Scoring through Spatial Aggregation Perception DCNN on a New IDEA Dataset.- Synthesizing Virtual-Real Artworks using Sun Orientation Estimation.- A Novel Sliding Mode Control For Human Upper Extremity With Gravity Compensation.- Compressive Sensing-based Optimal Design of an Emerging Optical Imager.- A Method of Film Clips Retrieval using Image Queries based on User Interests.- Multi-task Deep Learning for Fine-grained Classification/Grading in Breast Cancer Histopathological Images.
• (source: Nielsen Book Data)

This book provides insights into the research in the fields of artificial intelligence in combination with Internet of Things (IoT) technologies. Today, the integration of artificial intelligence and IoT technologies is attracting considerable interest from both researchers and developers from academic fields and industries around the globe. It is foreseeable that the next generation of IoT research will focus on artificial intelligence/beyond artificial intelligence approaches. The rapidly growing numbers of artificial intelligence algorithms and big data solutions have significantly increased the number of potential applications for IoT technologies, but they have also created new challenges for the artificial intelligence community. This book shares the latest scientific advances in this area.
(source: Nielsen Book Data)

• 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)

• 1) A Mobile Robotic System for Rescue and Surveillance in Indoor Environment2) Study on the Learning in Intelligent Control using Neural Networks based on Back-Propagation and Differential Evolution3) Word Sense Disambiguation Based on Graph and Knowledge Base4) GDP Carbon Emission Prediction Base on Grey Model and Neural Network5) Automatic optimization of YOLOv3 based on particle swarm algorithm6) Contour Mask and Matting Driven Face Image Generation7) Eye-interface System using Convolutional Neural Networks for People with Physical Disabilities8) Proposal of Omnidirectional Movable Positioning Plate Using T-shaped Omni Wheels9) A general pseudo-random number generator based on chaos10) A Light chaotic encryption algorithm for real-time video encryption11) Intelligent Analysis and Presentation of IOT Image Collection in Private Cloud.
• (source: Nielsen Book Data)

This book presents papers presented at the 4th EAI International Conference on Robotic Sensor Networks. The conference explored the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors explore how big networks are becoming the main tool for the next generation of robotic research, owing to the explosive number of networks models and the increased computational power of computers. The papers discuss how these trends significantly extend the number of potential applications for robotic technologies while also bringing new challenges to the networks' communities. The 2nd EAI International Conference on Robotic Sensor Networks was held online on November 21-22, 2020.
(source: Nielsen Book Data)

• Identification of the Conjugate Pair to Estimating Object Distance: An Application of the Ant Colony Algorithm.-Design of Palm Acupuncture Points Indicator.- Low-rank Representation and Locality-constrained Regression for Robust Low-Resolution Face Recognition.- Face Recognition Benchmark with ID Photos.- Scene Relighting using a Single Reference Image through Material Constrained Layer Decomposition.- Applying Adaptive Actor-critic Learning to Human Upper Lime Lifting Motion.- A Demand-based Allocation Mechanism for Virtual Machine.- A Joint Hierarchy Model for Action Recognition Using Kinect.- QoS-Based Medical Program Evolution.- An Improved 3D Surface Reconstruction Method based on Three Wavelength Phase Shift Profilometry.- The Research on the Lung Tumor Imaging based on the Electrical Impedance Tomography.- Combining CNN and MRF for Road Detection.- The Increasing of Discrimination Accuracy of Waxed Apples based on Hyperspectral Imaging Optimized by Spectral Correlation Analysis.- A Diffeomorphic Demons Approach to Statistical Shape Modeling.
• (source: Nielsen Book Data)

This book highlights selected papers presented at the 2nd International Symposium on Artificial Intelligence and Robotics 2017 (ISAIR2017), held in Nakamura Centenary Memorial Hall, Kitakyushu, Japan on November 25-26, 2017. Today, the integration of artificial intelligence and robotic technologies has become a topic of growing interest for both researchers and developers from academic fields and industries worldwide, and artificial intelligence is poised to become the main approach pursued in next-generation robotics research. The rapidly growing number of artificial intelligence algorithms and big data solutions has significantly extended the number of potential applications for robotic technologies. However, it also poses new challenges for the artificial intelligence community. The aim of this symposium is to provide a platform for young researchers to share the latest scientific achievements in this field, which are discussed in these proceedings.
(source: Nielsen Book Data)

• Identification of the Conjugate Pair to Estimating Object Distance: An Application of the Ant Colony Algorithm.-Design of Palm Acupuncture Points Indicator
• Low-rank Representation and Locality-constrained Regression for Robust Low-Resolution Face Recognition
• Face Recognition Benchmark with ID Photos
• Scene Relighting using a Single Reference Image through Material Constrained Layer Decomposition
• Applying Adaptive Actor-critic Learning to Human Upper Lime Lifting Motion
• A Demand-based Allocation Mechanism for Virtual Machine
• A Joint Hierarchy Model for Action Recognition Using Kinect
• QoS-Based Medical Program Evolution
• An Improved 3D Surface Reconstruction Method based on Three Wavelength Phase Shift Profilometry
• The Research on the Lung Tumor Imaging based on the Electrical Impedance Tomography
• Combining CNN and MRF for Road Detection
• The Increasing of Discrimination Accuracy of Waxed Apples based on Hyperspectral Imaging Optimized by Spectral Correlation Analysis
• A Diffeomorphic Demons Approach to Statistical Shape Modeling.

This book highlights selected papers presented at the 2nd International Symposium on Artificial Intelligence and Robotics 2017 (ISAIR2017), held in Nakamura Centenary Memorial Hall, Kitakyushu, Japan on November 25-26, 2017. Today, the integration of artificial intelligence and robotic technologies has become a topic of growing interest for both researchers and developers from academic fields and industries worldwide, and artificial intelligence is poised to become the main approach pursued in next-generation robotics research. The rapidly growing number of artificial intelligence algorithms and big data solutions has significantly extended the number of potential applications for robotic technologies. However, it also poses new challenges for the artificial intelligence community. The aim of this symposium is to provide a platform for young researchers to share the latest scientific achievements in this field, which are discussed in these proceedings.

• CBCNet: A Deep Learning Approach to Urban Images Classification in Urban Computing.- Building Label-Balanced Emotion Corpus Based on Active Learning for Text Emotion Classification.- Arbitrary Perspective Crowd Counting via Local to Global Algorithm.- A Semi-supervised Learning Method for Automatic Nuclei Segmentation Using Generative Adversarial Networks.- Research on Image Encryption based on Wavelet Transform Integrating with 2D Logistic.- High level Video Event Modeling, Recognition and Reasoning via Petri Net.- Question Generalization in Conversation.- Optimal Scheduling of IoT Tasks in Cloud-Fog Computing Networks.- Context-aware based Discriminative Siamese Neural Network for Face Verification.- Object-level Matching for Multi-source Image using Improved Dictionary Learning Algorithm.- Classification of Hyperspectral image based on Shadow Enhancement by Dynamic Stochastic Resonance.- Generative Image Inpainting.- Rice Growth Prediction Based on Periodic Growth.- A Multi-scale Progressive Method of Image Super-resolution.- Track related Bursty topics in Weibo.- Terrain classification algorithm for Lunar Rover based on visual convolutional neural network.- An Automatic Evaluation Method for Modal Logic Combination Formula.- Research on CS-based Channel Estimation Algorithm for UWB Communications.- A New Unambiguous Acquisition Algorithm for BOC(n, n) Signals.
• (source: Nielsen Book Data)

This book provides insights into research in the field of artificial intelligence in combination with robotics technologies. The integration of artificial intelligence and robotic technologies is a highly topical area for researchers and developers from academia and industry around the globe, and it is likely that artificial intelligence will become the main approach for the next generation of robotics research. The tremendous number of artificial intelligence algorithms and big data solutions has significantly extended the range of potential applications for robotic technologies, and has also brought new challenges for the artificial intelligence community. Sharing recent advances in the field, the book features papers by young researchers presented at the 4th International Symposium on Artificial Intelligence and Robotics 2019 (ISAIR2019), held in Daegu, Korea, on August 20-24, 2019. .
(source: Nielsen Book Data)