Proceedings of International Conference on Image, Vision and Intelligent Systems 2023 (ICIVIS 2023) (Lecture Notes in Electrical Engineering, 1163)

Preface
Introduction
Contents
Image
High Order Conditional Random Field Based Cervical Cancer Histopathological Image Classification
	1 Introduction
	2 Related Work
	3 Conditional Random Field Module Construction
		3.1 Data Preprocessing
		3.2 Feature Extraction Method
		3.3 Research on Classification Methods based on HOCRF
		3.4 Structure of HOCRF
	4 Experimental Results and Analysis
		4.1 Dataset
		4.2 Experimental Results and Analysis of Unary Potential, Binary Potential and High-Order Potential
		4.3 Experimental Results and Analysis of High Order Conditional Random Fields
		4.4 Classification Error Analysis
		4.5 Classification Time
		4.6 Visualization Analysis of High Order Conditional Random Field Model
	5 Conclusion and Future Work
	References
Skin Cancer Image Identification Using Deep Convolutional Neural Networks
	1 Introduction
	2 Related Work
	3 Skin Cancer Identification Networks based on Deep Learning
		3.1 Experimental Datasets
		3.2 Data Preprocessing
		3.3 Evaluation Method of Identification Result
		3.4 Two Different Deep Convolutional Neural Networks
		3.5 Advantages of ResNet-50 and Inception-V3 Networks
		3.6 Evaluation Metrics for Deep Learning Network Performance
	4 Experimental Results and Analysis
		4.1 Dataset
		4.2 Experiment Environment and Computer Configuration
		4.3 Analysis of Experimental Results
	5 Discussion
	6 Conclusion and Future Work
	References
Deep Learning-Based Prediction of Myelosuppression in Lymphoma Patients During Chemotherapy Using Multimodal Radiological Images with Subcutaneous Adipose Tissue
	1 Introduction
	2 Deep Learning-Based Prediction of Myelosuppression in Lymphoma Patients during Chemotherapy Using Multimodal Radiological Images with Subcutaneous Adipose Tissue
		2.1 Data Preprocessing
		2.2 Deep Learning, Machine Learning and Clinical Diagnosis
		2.3 Attention Mechanism
		2.4 Classification Metrics
	3 Experimental Results and Analysis
		3.1 Databset
		3.2 Experimental Environment
		3.3 Analysis of Experimental Results
	4 Conclusion and Future Work
	References
Retrievable Image Encryption Based on Adaptive Block Compressed Sensing
	1 Introduction
	2 Related Work
		2.1 Adaptive Block Compressive Sensing
		2.2 Chen\'s Chaotic System
		2.3 Hash Retrieval
	3 The Main Method
		3.1 Obtain the Fitted Curve
		3.2 Compressed and Encrypt Images
		3.3 Retrieve Images
		3.4 Decrypting Reconstructed Images
	4 Experimental Evaluation
	5 Conclusion and Prospect
	References
Research on Prostate Cancer Pathological Image Classification Method Based on Vision Transformer
	1 Introduction
	2 Related Work
		2.1 Methods based on Handcrafted Features
		2.2 Methods Based on Deep Features
	3 Methods
		3.1 Framework Overview
		3.2 Image Preprocessing
		3.3 Prostate Cancer Classification Based on Vision Transformer
		3.4 Model Training and Optimization
	4 Results
		4.1 Database
		4.2 Experimental Environment
		4.3 Classification Accuracy
	5 Discussion
	6 Conclusion
	References
Multi-disease Detection and Segmentation of Chest CT Images Based on Coarse-to-Fine Pipeline Models
	1 Introduction
	2 Related Word
	3 Method
		3.1 Framework Overview
		3.2 Disease Detection Based on U-Net Based on Lightweight U-Net
		3.3 Lesion Segmentation Based on Segment Anything Model
	4 Results
		4.1 Datasets
		4.2 Metrics and Experimental Environment
		4.3 Detection and Segmentation Results
	5 Discussion
	6 Conclusion
	References
Dual Branch Image-Guided Network with Multi-stage Iterative Refinement for Depth Completion
	1 Introduction
	2 Methods
		2.1 Network Architecture
		2.2 Coarse Depth Estimation Branch
		2.3 Depth Refinement Branch
		2.4 Loss Function
	3 Experiments
		3.1 Experimental Settings
		3.2 Comparison Results
		3.3 Ablation Studies
	4 Conclusion
	References
CT Images Super-Resolution Reconstruction Using Bi-level Routing Attention and Consecutive Dilated Convolutions
	1 Introduction
	2 Related Work
	3 Network Design
		3.1 Encoder
		3.2 Decoders
	4 Experimental Design and Result Analysis
		4.1 Data Set Selection and Preprocessing
		4.2 Parameter Selection
		4.3 Image Quality Evaluation Criteria
		4.4 Experimental Results and Analysis
	5 Conclusion
	References
ASPCD-UNet: An Improved Network for Change Detection
	1 Introduction
	2 Related Work
		2.1 UNet
		2.2 ShuffleNet Module
		2.3 Spatial Attention Module and Channel Attention Module
		2.4 Atrous Spatial Pyramid Pooling
	3 Method
	4 Experiments
		4.1 Dataset and Evaluation Metrics
		4.2 Implementation Details
		4.3 Comparison and Analysis
	5 Conclusion
	References
SE-UNet: Channel Attention Based UNet for Water Body Segmentation from SAR Image
	1 Introduction
	2 Methodology
		2.1 UNet Network
		2.2 SE (Squeeze and Excitation) Module
		2.3 SE-UNet
	3 Experimental Results
		3.1 Dataset
		3.2 Network Training and Evaluation Metrics
		3.3 Experimental Results
	4 Conclusion
	References
A Fine Segmentation Method for the Outer Boundary of Tire Image Steel Belt Based on Adaptive Thresholding Under Local Histogram Statistical Features
	1 Introduction
	2 Method
		2.1 Pre-processing
		2.2 Feature Extraction
		2.3 Rule Setting
		2.4 Smoothing Treatment
	3 Experimental Results and Analysis
		3.1 Experimental Details
		3.2 Experimental Evaluation Metrics
		3.3 Comparing Existing Algorithms
		3.4 Ablation Test
		3.5 Sensitivity Analysis
		3.6 Visualization Experiments
	4 Conclusion
	References
Night Scene Image Stitching and Image Recognition Based on Improved SIFT
	1 Introduction
	2 SIFT Algorithm
		2.1 Scale-Space Extrema Detection
		2.2 Keypoint Localization
		2.3 Orientation Assignment
		2.4 Keypoint Description
		2.5 Keypoint Matching
	3 Improved SIFT Splicing Algorithm
		3.1 Smoothing of Images
		3.2 RANSAC
		3.3 Perspective Transform
	4 YOLOv5
	5 Experiment and Analysis
		5.1 Key Point Extraction Contrast
		5.2 Image Mosaic Effect Experiment
		5.3 Image Recognition
	6 Conclusion
	References
Optical Image Encryption Based on Chaotic Palmprint Phase Mask and Phase-Shifting Digital Holography
	1 Introduction
	2 The Proposed Encryption Method Based on CPPM and PSDH
		2.1 The Generation Process of Chaotic Palmprint Phase Mask
		2.2 The Procedure of Encryption
		2.3 The Procedure of Decryption
	3 Simulation Results and Analysis
		3.1 The Feasibility Analysis
		3.2 The Safety Analysis
		3.3 The Robustness Analysis
	4 Summary
	References
Health Monitoring of Ultra-low Temperature Valves Based on Complex Shearlet Domain Dynamic Threshold
	1 Introduction
	2 Complex Shearlet Transform
	3 Complex Shearlet Transform
	4 Experimental Results and Analysis
	5 Conclusion
	References
Speckle Suppression Based on Contextual ConvNeXt Network
	1 Introduction
	2 ConvNeXt and Contextual Transformer
	3 Proposed Method
		3.1 Generator
		3.2 Discriminator
	4 Experimental Results
		4.1 Experimental Set
		4.2 Comparison Results
	5 Conclusion
	References
Mirror R-CNN: Object Detection with Flipped Image
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Mirror Processing Module
		3.2 Confidence Selection Module
		3.3 Loss Dynamic Weight
	4 Experiments
		4.1 Experiments on CrowdHuman
		4.2 Experiments on COCO
		4.3 Experiments on Citypersons
		4.4 Experiment on Time Consumption
		4.5 Ablation Studies
		4.6 Compatibility Studies
	5 Conclusion
	References
Research on Virtual Data Set Generation for Ship Target Recognition at Sea
	1 Introduction
	2 Related work
	3 Experimental Principle
		3.1 Large-Scale Ocean Scene Rendering
		3.2 Automatic Annotation of Virtual Data
		3.3 Establish a Virtual Data Set
		3.4 Post-processing of Virtual Data Set
	4 Experiment and Result Analysis
		4.1 Model Evaluation Index
		4.2 Experimental Setup and Process
	5 Concluding Remarks
	References
Design and Research of One-Piece Bionic Life Jacket Based on Virtual Reality Technology
	1 Introduction
	2 Development and Evolution of Life Jackets
		2.1 Buoyancy Materials for Life Jackets
		2.2 Life Jacket Structure
	3 Innovative Design of One-Piece Bionic Life Jacket
		3.1 The Experimental Process of One-Piece Bionic Life Jacket
		3.2 Structural Analysis of One-Piece Bionic Life Jacket
	4 Conclusion
	References
An Object Detection and Segmentation Model-Based Shape Change Estimation Method for Wood Specimen
	1 Background
	2 Related Work
		2.1 Object Detection Model
	3 Methods
		3.1 Theoretical Basis
		3.2 Dataset Construction
		3.3 Model Training
		3.4 Numerical Estimation
	4 Experiment
		4.1 Experimental Setting
		4.2 Results of Instance Segmentation
		4.3 Results of Numerical Estimation
	5 Conclusion
	References
Encrypted Image Search Based on SGX and Hierarchical Index
	1 Introduction
	2 Preliminaries
		2.1 CP-ABE
		2.2 SGX
	3 System and Security Model
		3.1 System Model
		3.2 Formal Definition
		3.3 Security Model
	4 Our Proposed Design
		4.1 Key Generation
		4.2 Index Generation
		4.3 Token Generation
		4.4 Search
	5 Security Analysis
	6 Experimental Evaluation
		6.1 Experimental Setting
		6.2 Index Generation Cost
		6.3 Image Search Performance
		6.4 Search Accuracy
	7 Conclusion
	References
SFINet: An Oriented Fine-Grained Ship Identification Network Based on Remote Sensing Image
	1 Introduction
	2 Methodology
		2.1 Oriented RPN
		2.2 Rotte RoIAlign
		2.3 Loss Function
	3 Experiment
		3.1 Datasets
		3.2 Experiment Setup
		3.3 Comparison to State-of-the-Art Methods
	4 Conclusion
	References
A Fully End-to-End Query-Based Detector with Transformers for Multiscale Ship Detection in SAR Images
	1 Introduction
	2 Methodology
		2.1 Overall Architecture
		2.2 Balance Deformable Attention Module (BDAM)
	3 Experiment and Result Analysis
		3.1 Datasets and Settings
		3.2 Evaluation Criteria
		3.3 Ablation Study
		3.4 Comparison with the State-of-the-Art
	4 Conclusion
	References
Design of Accelerators for Combined Infrared and Visible Image Target Detection Based on Deep Learning
	1 Introduction
	2 Model Adjustment and Quantification
		2.1 Model Adjustment
		2.2 Data Quantification
	3 Zynq-Based Accelerator Methods
		3.1 Data Interaction Module
		3.2 Convolution Layer
		3.3 Pooling Layer
		3.4 Convolution-BN Layer Fusion
		3.5 Data Preprocessing
	4 Experimental Results and Analysis
		4.1 Experimental Settings
		4.2 Validation and Presentation of Results
		4.3 Resource Consumption and Power Consumption Analysis
		4.4 Acceleration Efficiency Comparison
	5 Conclusion
	References
Visible and Infrared Image Fusion for Object Detection: A Survey
	1 Introduction
	2 Rgb-Infrared Object Detection
		2.1 Pixel-Level Fusion
		2.2 Wagner’s Work
		2.3 Feature-Level Fusion
		2.4 Decision-Level Fusion
	3 Datasets
	4 Experiment
	5 Future Outlook
		5.1 Dataset Images Misalignment
		5.2 Modal Image Instability
		5.3 Explore Fusion Based on Imaging Principle
	6 Conclusion
	References
Multispectral Point Cloud Classification: A Survey
	1 Introduction
	2 Methods Analyze
		2.1 Image-Based Strategy
		2.2 Point-Based Strategy
	3 Future Perspectives
	4 Conclusion
	References
Multiple Machine Learning Fusion Based Analysis of Fat Composition in CT Images
	1 Introduction
	2 Basic Knowledge
		2.1 Edge Detection and Optimal Threshold Processing of Otsu
		2.2 Feature Extraction
		2.3 Machine Learning
		2.4 Evaluation Indicators
	3 Machine Learning Fusion Based Component Analysis
		3.1 Comparison of Pretreatment and Several Classical Methods
		3.2 Region-Growing Image Segmentation Based on Fat Component Analysis
		3.3 SVM Classification and Classical Feature Extraction
		3.4 Fusion and Classification
	4 Experimental Results and Analysis
		4.1 Experimental Setup
		4.2 Analysis of Experimental Results
		4.3 Selection and Result Analysis of Fusion and Classification
	5 Conclusion and Future Work
	References
Texture Features and Machine Learning Based Environmental Microorganism Microscopic Image Classification
	1 Introduction
	2 Related Work
	3 Methods
		3.1 Image Segmentation
		3.2 Texture Feature Extraction
		3.3 Implementation and Result Analysis of Classifiers Based on Machine Learning Theory
	4 Experimental Results and Analysis
		4.1 Dataset and Experimental Platform Setup
		4.2 Experimental Results Analysis
		4.3 Classification Experiment Summary
	5 Conclusion and Future Work
	References
Deep Convolutional Neural Network Based Sperm Detection in Microscopic Videos
	1 Introduction
	2 Related Work
	3 Research Process
		3.1 Data Preprocessing
		3.2 Model Design
		3.3 Model Training
		3.4 Model Testing
	4 Test Result Evaluation
		4.1 Evaluation Index
		4.2 Model Prediction Sample Frame
	5 Conclusion
	References
Saliency Detection Based Pyramid Optimization of Large Scale Satellite Image
	1 Introduction
	2 Research Methods
		2.1 Visual Significance Detection
		2.2 Significant Region Segmentation
		2.3 Salient Region Processing
	3 Experimental Results and Analysis
		3.1 Experimental Setting
		3.2 Satellite Image Project Application
		3.3 Image Loading Comparison
	4 Conclusion
	References
Real Scene 3D Technology Applied to Statistics and Updates Spring Festival Couplets for Entire Villages
	1 Introduction
	2 UAV Tilt Photography and Monolithic Modeling
		2.1 Research Methods
		2.2 Image Data Acquisition
		2.3 Image Data Processing
		2.4 Monomer Modeling of Real Scene 3D Model
	3 Construction of Visualization System for Selected Ancient Construction Spring Festival Couplets
		3.1 Overall System Design
		3.2 System Implementation
		3.3 System Function Display
	4 Conclusion
	References
Research on Camouflage Target Detection Method Based on Dual Band Optics and SAR Image Fusion
	1 Introduction
	2 Improved D-S Evidence Theory
		2.1 D-S Evidence Theory
		2.2 Improvement
	3 Improved YOLOv7 Object Detection Network
		3.1 Improvement of Network Structure
		3.2 Optimization of Loss Function
	4 Camouflage Target Detection Experiment
		4.1 Using Visible Light Images for Detection
		4.2 Using Infrared Images for Detection
		4.3 Using Multi-source Images for Detection
	References
Vision
VANet: A New Network for Multi-modal Self-supervised Learning from Video and Audio
	1 Introduction
	2 Inter-modality and Intra-modality Alignment
		2.1 Inter-modality and Intra-modality Alignment
		2.2 Avoiding Sampling Bias
	3 VANet
		3.1 Video Branch
		3.2 Audio Branch
		3.3 Audio-Video Modal Alignment
	4 Experiment
		4.1 Training Details
		4.2 Results
		4.3 Ablation
	5 Conclusion
	References
A Review of Visual Transformer Research
	1 Introduction
	2 Introduction to Transformer
	3 Vision Transformer
		3.1 Introduction to Vision Transformer
		3.2 Vision Transformer Problems and Developments
	4 Conclusion
	References
WheatNet-CS: A Wheat Ear Detection Algorithm for Complex Background
	1 Introduction
	2 Methods
		2.1 CP-Cluster
		2.2 SENet
	3 Experiment
		3.1 Materials and Evaluation Indexes
		3.2 Setting
		3.3 Detection Results of Different Algorithms
		3.4 Ablation Experiment
	4 Conclusion and Analysis
	References
Enhancing RetinaNet for Object Detection in Autonomous Driving with Limited Data
	1 Introduction
	2 Related Work
		2.1 Object Detection Methods for Small Sample Learning
		2.2 Limitations of Existing Methods
	3 Methodology
		3.1 Enhanced RetinaNet with Modified Neck Structure
		3.2 Datasets and Training Strategy
	4 Experiments and Results
		4.1 Datasets and Evaluation Metrics
		4.2 Results on TT100K-Lite
		4.3 Results on BUUISE-MO-Lite
		4.4 Ablation Study
	5 Conclusion
	References
Research on Monitoring Technology Based on the Fusion of 4D Millimeter Wave Radar and Machine Vision
	1 Introduction
	2 Related Work
	3 Methods
		3.1 Camera Target Detection
		3.2 Millimeter Wave Radar Target Detection
		3.3 Space-Time Synchronization
		3.4 Data Fusion
	4 Experiment
		4.1 Target Detection Results
		4.2 Clustering Results
		4.3 Data Association Results
	5 Conclusion
	References
Efficient Enhanced Feature Learning for Remote Sensor Image Object Detection
	1 Introduction
	2 Related Work
		2.1 Multi-scale Feature Fusion
		2.2 Convolution-Based Models
	3 Method
		3.1 Overall Architecture
		3.2 RSNet
		3.3 AGFPN
	4 Experiments
		4.1 Datasets
		4.2 Implementation Details
		4.3 Comparison with State-of-the-Arts
		4.4 Ablation Study
		4.5 Qualitative Analysis
	5 Experiments
	References
MMT: Transformer for Multi-modal Multi-label Self-supervised Learning
	1 Introduction
	2 Video Embedding
		2.1 Uniform Frame Sampling
		2.2 Channel Embedding
	3 ViViT Model
		3.1 Model-I
		3.2 Model-II
		3.3 Initialization Using Image Pre-training Model
	4 Model Architecture
	5 Experiment
		5.1 Network Architecture and Initialization
		5.2 Experimental Results and Analysis
		5.3 Ablation Experiment
	6 Conclusion
	References
Face Recognition Based on SRCS Algorithm and Score of Exponential Weighting
	1 Introduction
	2 The Method of This Paper
		2.1 Main Steps
		2.2 Methods of Ideology
	3 The SRCS Algorithm Based on the Original Training Samples
		3.1 The SRCS Algorithm
		3.2 Algorithm Analysis
	4 The Score of Exponential Weighting
	5 Experiment Results
	6 Conclusions
	References
Micro-expression Recognition Based on Multi-scale Attention
	1 Introduction
	2 Proposed Method
		2.1 Image Preprocessing
		2.2 The Architecture of GLARN Network
		2.3 Loss Function
	3 Experimental Results and Analysis
		3.1 Datasets
		3.2 Experimental Parameter Settings
		3.3 Evaluation Metrics and Results Comparison
		3.4 Ablation Experiments and Corresponding Analysis
	4 Conclusion
	References
Concrete Bridge Crack Detection Based on YOLO v8s in Complex Background
	1 Introduction
	2 Method
		2.1 Network Architecture
		2.2 C2f-MA
	3 Experimental Results
		3.1 Datasets
		3.2 Evaluation Metrics
		3.3 Experimental Settings
		3.4 Comparative Experiments
	4 Conclusion
	References
Hybrid Contrastive Learning with Attention Mechanism for Unsupervised Person Re-identification
	1 Introduction
		1.1 Unsupervised Domain Adaptive Person re-ID
		1.2 Purely Unsupervised Learning (USL) Person re-ID
	2 The Proposed Method
		2.1 Feature Optimization
		2.2 Hybrid Contrast Learning
	3 Experiment
		3.1 Datasets and Evaluation Protocol
		3.2 Implementations Details
		3.3 Ablation Studies
		3.4 Comparison with State-of-the-Arts
	4 Conclusion
	References
Research on the Development of Graphical Modeling and Visualization Based on Integrated Analysis Programs of Severe Accidents
	1 Introduction
	2 System Architecture
	3 Graphical Modeling Tool
		3.1 Graphical Modeling Design
		3.2 Graphical Modeling Development
	4 3D Visualization
		4.1 3D Visualization Design
		4.2 3D Visualization Development
	5 Conclusion
	References
ECG Signal Delineation Based on Multi-scale Channel Attention Convolutional Neural Network
	1 Introduction
	2 Materials and Methods
		2.1 Database
		2.2 Algorithm Overview
		2.3 Pre-processing
		2.4 Neural Network Architecture
		2.5 Model Optimization and Training
		2.6 Post-processing
	3 Results
		3.1 Classification Performance Metrics
		3.2 Sample Point Classification
		3.3 Delineation Results
		3.4 Noise Resistance Experiments
		3.5 Inter-patient and Intra-patient Experiments
	4 Comparison of MSCA-CNN with Other Methods
	5 Conclusion
	References
A Model-and-Data Driven Prediction Algorithm on Lumbar Spine Degeneration
	1 Introduction
	2 Literature Review
	3 Prediction of the Disease’s Evolving Pattern
		3.1 Model-Driven Approach - Continuous Time Markov Chain
		3.2 Data-Driven Approach – XGBoost
	4 Numeric Experiments
		4.1 Case Study
		4.2 Validation of XGBoost
	5 Conclusion and Discussion
	References
CLA-Net: A Deep Spatio-Temporal Attention Network Based on ConvLSTM for EEG Emotion Recognition
	1 Introduction
	2 Method
		2.1 ConvLSTM Block with Residuals
		2.2 Self-attention Block
	3 Database and Experimental Settings
	4 Experiment and Analysis
		4.1 Compared with Other Methods
		4.2 Ablation Experiment
	5 Conclusion
	References
A Comprehensive Review of Continual Learning with Machine Learning Models
	1 Introduction
	2 Continual Learning Setup
		2.1 Problem Definition
		2.2 Typical Scenario
		2.3 Evaluation Metrics
	3 Continual Learning Methods
		3.1 Regularization-Based Methods
		3.2 Replay-Based Methods
		3.3 Parameter Isolation-Based Methods
		3.4 Representation-Based Methods
	4 Conclusion
	References
Pavement Distress Detection Based on Improved Yolov8
	1 Introduction
	2 Improvement of Yolov8 Detection Method
		2.1 Yolov8 Network
		2.2 SPD-ResNet
		2.3 Improvements on the Network Side of Feature Fusion
	3 Experiment and Result Analysis
		3.1 Experiment Datasets Preparation
		3.2 Experimental Environment
		3.3 Evaluation Metrics
		3.4 Experimental Results
	4 Conclusion
	References
Intelligent Systems
Multi-scale Feature Imitation for Unsupervised Anomaly Localization
	1 Introduction
	2 Approach
		2.1 Teacher-Student Feature Imitation Framework
		2.2 Multi-scale Processing Strategy
		2.3 Scale Weight Search
	3 Experiment
		3.1 Experimental Details
		3.2 Datasets and Evaluation Metrics
		3.3 Experimental Results
		3.4 Ablation Study
	4 Conclusions
	References
An Adaptive Vehicle Detection Algorithm for Traffic Applications
	1 Introduction
	2 Adaptive Object Detection Algorithm
		2.1 Adaptive Algorithm
		2.2 Large-Scale Model
		2.3 Small-Scale Model
	3 Experiments
	4 Conclusion
	References
Emotion Recognition Classification with Differential Entropy and Power Spectral Density Features
	1 Introduction
	2 Materials and Methods
		2.1 Subjects
		2.2 Data Preprocessing
		2.3 Experimental Environment and Parameters Design
		2.4 Performance Evaluation
	3 Results
	4 Discussion
	5 Conclusion
	References
A Pilot Genome-Wide Association Study of Brain Glucose Metabolism Levels in Alzheimer’s Disease Based on 18F-FDG PET
	1 Introduction
	2 Materials and Methods
		2.1 Participants
		2.2 Image Analysis
		2.3 Genotyping and Quality Control
		2.4 Statistical Analysis
	3 Results
		3.1 Demographics of Enrolled Population
		3.2 Results of the SUVs in Brain Regions
		3.3 Results of GWAS
	4 Discussion
	5 Conclusion
	References
Classification of Alzheimer’s Disease via Deep Residual Network
	1 Introduction
	2 Materials and Methods
		2.1 Experimental Data
		2.2 Experimental Methods
		2.3 Experimental Setup
	3 Results
	4 Discussion
	5 Conclusion
	References
Research on Brain Age Prediction Based on Dual-Pathway 3D ResNet
	1 Introduction
	2 Materials and Methods
		2.1 Dataset and Preprocessing
		2.2 Experimental Model
		2.3 Experimental Environment and Hyper-parameter Settings
		2.4 Experimental Evaluation Indicators
	3 Results and Discussion
		3.1 Results
		3.2 Discussion
	4 Conclusion
	References
Evaluation of Brain Network Changes for Normal Brain Aging by the Resting-State Functional Connectivity
	1 Introduction
	2 Materials and Methods
		2.1 Subjects
		2.2 Data Pre-processing and Time Series Extraction
		2.3 Brain Networks Construction
		2.4 Statistical Analysis Based on Different Groups of Brain Networks
		2.5 NBS Method
	3 Results
	4 Discussion
	References
EM-BERT: A Language Model Based Method to Detect Encrypted Malicious Network Traffic
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Pre-processing
		3.2 Tokenization
		3.3 Fine-Tuning EM-BERT
	4 Data Set
		4.1 Malware-Traffic-Analysis Dataset
		4.2 USTC-TFC2016
		4.3 EVERSEC-EMNT
	5 Experiment Result
		5.1 Evaluation Indices
		5.2 Baseline
		5.3 Experiments and Discussion
	6 Conclusion
	References
Machine Learning of Brain Functional Network Characteristics for AD Classification
	1 Introduction
	2 Materials and Methods
		2.1 Materials
		2.2 Proposed Framework
		2.3 Experimental Setup
	3 Results
		3.1 Evaluation of Demographics and Clinical Variables
		3.2 Analysis of Network Parameter Variability
		3.3 Classification Results
	4 Discussion
	5 Conclusion
	References
SuperTML-Clustering: Two-Dimensional Word Embedding for Structured Tabular Data
	1 Introduction
		1.1 A Subsection Sample
	2 Cnn-Based SuperTML-C Method
	3 Experiment
		3.1 Comparative Experiment
		3.2 The Effect of the Number of Fields Being Binned on the Classification Result
		3.3 The Effect of Bandwidth on Classification Results
	4 Conclusion
	References
A New Neural Network Model Based on Attention Mechanism that Embeds LSTM into RNN for Nonlinear Time-Lag System Identification
	1 Introduction
	2 Problem Statement
	3 Proposed Method for Time Delay System Identification
		3.1 E-ALIR Model Construction
		3.2 E-ALIR Self-attention Layer Construction
		3.3 Construction of E-ALIR Temporal Attention Layer
		3.4 Experiment Results and Analysis
	4 Concludes
	References
Construction and Characteristic Analysis of Two-Layer Complex Network Model
	1 Introduction
	2 Homogeneous Two-Layer Network
		2.1 Construction Process of (GEE,R) Network
		2.2 Construction Process of (GWW,R) Network
		2.3 Construction Process of (GBB,R) Network
	3 Heterogeneous Two-Layer Network
		3.1 Construction Process of (GEW,R) Network
		3.2 Construction Process of (GBE,R) Network
		3.3 Construction Process of (GBW,R) Network
	4 Analysis of Degree Distribution of Two-Layer Network
		4.1 Degree Distribution Analysis of Homogeneous Two-Layer Network
		4.2 Degree Distribution Analysis of Heterogeneous Two-Layer Network
	5 Conclusion
	References
CM-PGD: Adversarial Attacks by Concept-Based Explainable AI
	1 Introduction
	2 Preliminary
		2.1 Concept-Based Explainable AI
		2.2 Adversarial Attacks
	3 Methodology
		3.1 Extracting Concepts from Images Automatically
		3.2 Computing Concept Masks
		3.3 Concept Masked PGD Attack
	4 Experiments
		4.1 Experimental Setting
		4.2 Experimental Results
	5 Conclusion
	References
Self-supervised Contrastive Pre-training Integrated with Multi-level Co-attention for Survival Prognosis from Whole Slide Images
	1 Introduction
	2 Related Work
		2.1 Self-supervised Learning
		2.2 Attention Mechanism in Computational Pathology
	3 Method
		3.1 Fine-Tuned Feature Extractor by Self-supervised Contrastive Learning
		3.2 Integrated Patch and Cluster Attention MIL
	4 Experiments and Results
		4.1 Dataset and Pre-processing
		4.2 Experimental Settings
		4.3 Comparisons
	5 Conclusion
	References
Identifying Vital Nodes in Hypernetworks Based on Improved PageRank Algorithm and Information Entropy
	1 Introduction
	2 Preliminaries
		2.1 Hypernetwork
		2.2 Well-Known Centrality Methods
	3 Proposed Method
		3.1 Improved PageRank Algorithm Based on Node Similarity
		3.2 Information Entropy
		3.3 Entropy Technology
		3.4 SPRIE Algorithm
	4 Experiments
		4.1 Experimental Environment and Configuration
		4.2 Dates
		4.3 Evaluation Indicators
		4.4 Experimental Analysis
	5 Conclusion
	References
Overview of 3D Object Detection for Robot Environment Perception
	1 Introduction
	2 Datasets
		2.1 KITTI
		2.2 nuScenes
		2.3 Waymo
		2.4 Argoverse
	3 3D Obeject Detection
		3.1  Original Point Cloud Data
		3.2 Voxel Based Method
		3.3 Views Based Method
	4 Conclusion
	References
Non-fragile Filtering for Semi-makovian Robotic Hand with Piecewise Transition Probabilities: A Finite-Frequency Design
	1 Introduction
	2 Preliminaries
	3 Main Results
	4 Illustrative Example
	5 Conclusions
	References
Classification of Gas Discharge Tube’s Electromagnetic Pulse Response Based on Kmeans Method
	1 Introduction
	2 K-Means Method Based on Optimal Species
		2.1 GDT’s Response in Electromagnetic Pulse Injection
		2.2 Selection Method of Optimal Species
		2.3 K-Means Method of GDT’s Electromagnetic Pulse’s Classification
	3 Experiment Results
	4 Conclusion
	References
Mode-Dependent H  Tracking Control for Semi-Markov Jumping Robotic Manipulators Under Random Disturbances
	1 Introduction
	2 Preliminaries and Problem Formulation
	3 Controller Design
	4 Illustrative example
	5 Conclusion
	References
Dissipative Control for Singular T-S Fuzzy Systems Under Dynamic Event-Triggered Scheme
	1 Introduction
	2 Problem Description
	3 Main Results
	4 Examples
	5 Conclusion
	References
Optimizing Reward Function Weights and Enhancing Control Mechanisms for Bipedal Robots Using LSTM and Attention Mechanisms
	1 Introduction
	2 Related Work
		2.1 Controlling Bipedal Robots Using Neural Networks
		2.2 Proximal Policy Optimization (PPO) in Robotics
		2.3 Reward Parameter Tuning in Reinforcement Learning
		2.4 Neural Network Structure Improvement: Transformer, LSTM, and LSTM + Transformer
	3 Method
		3.1 Introduction to Bayesian Optimization
		3.2 Network Architecture Design and Experiments
	4 Experimental Results and Simulation Evaluation
		4.1 Training Performance
		4.2 Robustness in Simulatio
	5 Conclusion and Future Work
	References
Review and Critical Analysis of Ontologies for Artificial Intelligence Systems
	1 Introduction
	2 Related Work
	3 AI-Related Ontologies
		3.1 AI Models
		3.2 AI Jobs
		3.3 Trustworthy AI
		3.4 Other
	4 Non-ontological Approach
	5 Concluding Remarks
	References
Spatio-Temporal Evolution of NPP in Helan Mountain from 2012 to 2021 Based on MODIS Satellite Data
	1 Introduction
	2 Study Area and Data SOURCE
		2.1 The Study Area
		2.2 Data Source
	3 Methodology
	4 Results
		4.1 Temporal Analysis the Ecological Quality in Helan Mountain
		4.2 Spatial Distribution of NPP and Land Cover Types in Helan Mountain
	5 Discussion and Conclusion
		5.1 Discussion
		5.2 Conclusion
	References
Construction and Analysis of IPTV User Profile Based on Multimedia Design
	1 Background, Objectives, Innovations, and Framework
	2 Analysis of User Viewing Behavior
	3 Research on Live Channel Viewing
		3.1 Statistics of Comprehensive Viewing Index of Some Live Channels
		3.2 Research on the Difference Between CCTV No.1 Channel and TVB Jade Channel
		3.3 Multi-dimensional Study on Viewing Concurrency Index of Some Live Broadcast Channels
	4 Research on Interactive on Demand Viewing
	5 Marketing Strategy and Incentive Mechanism
		5.1 Profit Model Strategy
		5.2 EPG Marketing Incentive Mechanism
	6 Summary and Work Prospects
	References
Author Index