Intro
Preface
Organization
Contents - Part I
Contents - Part II
Breast Ultrasound Tumor Detection Based on Active Learning and Deep Learning
1 Introduction
2 Materials and Method
2.1 Dataset
2.2 Improved MIAL with OPA-FPN
2.3 EfficientDet-Based Tumor Detection
3 Experiment
3.1 Implementation Details
3.2 The Improved MIAL Performance
3.3 Tumor Detection Performance
4 Conclusion
References
Adaptive Sliding Mode Control for a Hydraulic Position Servo System
1 Introduction

2 Introduction Mathematical Model of the Electro-hydraulic Position System
3 Problem Formylation and Preliminary
4 Controller Design and Stability Analysis
4.1 Design of the Sliding Mode Controller
4.2 Stability Analysis
5 Simulation Verification of the Proposed Controller
6 Conclusion
References
Multimodal Interaction Fusion Network Based on Transformer for Video Captioning
1 Introduction
2 Related Work
2.1 Video Captioning
2.2 Video Captioning
3 Preliminaries
4 Methodology
4.1 Encoder with Multimodal Features

4.2 Multimodal Feature Extraction Module
4.3 Cross-Attention Module with Multi-modal Features
4.4 Decoder with Gated Mechanism
4.5 Training Processing
5 Experiments
5.1 Datasets
5.2 Implementation Details
5.3 Comparison with Competing Baselines
5.4 Ablation Study
6 Conclusion
References
An Image Enhancement Method Based on Multi-scale Fusion
1 Introduction
2 Proposed Method
2.1 The Improved Homomorphic Filtering
2.2 CLAHE Algorithm
2.3 Multi-scale Fusion
3 Analysis of Simulation Results
4 Conclusion
References

Research on Construction Technology of Graph Data Model
1 Introduction
2 Related Work
3 Graph Database
3.1 Neo4j Graph Database
3.2 GraphX Database
4 Model Design
4.1 Data Analysis Framework of Power Grid Topology
4.2 Power Grid Data Model Construction
5 Graph Data Model
5.1 CIM Model
5.2 Data Model with Electrical Nodes as Domain Entities
5.3 Data Model of Materialized Attributes
5.4 Materialized Time Data Model
6 Prospects and Challenges of Graph Data Model Construction
7 Conclusion
References

Optimal SVM Using an Improved FOA of Evolutionary Computing
1 Introduction
2 SVM Classifier
3 Fruit Fly Optimization Algorithm
3.1 The Basic Fruit Fly Optimization Algorithm
3.2 A Improved FOA
4 Implementation of Improved FOA-SVM Algorithm
4.1 Improved FOA-SVM Classification Algorithm Flow
4.2 Classifier Performance Evaluation Index
4.3 Performance Evaluation Results of Classifier Based on UCI Data Set
5 Experiment and Analysis
5.1 Image Preprocessing
5.2 Coal Gangue Classification Based on Improved FOA-SVM
6 Conclusion
References