Intro
Preface
Contents
About the Editors
1 A Review of Temporal Network Analysis and Applications
1.1 Introduction
1.2 Modeling and Representations of Temporal Networks
1.3 Structural Properties and Statistical Characteristics
1.3.1 Temporal Motifs and Community Structures
1.3.2 Paths and Distances
1.3.3 Centrality Metrics
1.4 Application Analysis
1.4.1 Important Node Analysis
1.4.2 Link Prediction
1.4.3 Community Segmentation
1.4.4 Influence Maximization
1.4.5 Analysis Tools
1.5 The Future Outlook
References

2 A Knowledge Representation Method for Hierarchical Diagnosis Decision-Making Under Uncertain Conditions
2.1 Introduction
2.2 Hierarchical Diagnosis Decision-Making Knowledge Classification
2.3 Hierarchical Diagnosis Decision-Making Knowledge Ontology Modeling
2.3.1 Hierarchical Diagnosis Decision-Making Knowledge Representation Model
2.3.2 Hierarchical Diagnosis Decision-Making Knowledge Representation Model
2.4 The Semantic Level of Hierarchical Diagnosis Decision-Making and Its Knowledge Relevance
2.4.1 Device Domain Ontology Semantics and Their Relationships

2.4.2 Process Domain Ontology Semantics and Their Relationships
2.4.3 Diagnostic Domain Ontology Semantics and Their Relationships
2.4.4 Maintenance Decision Domain Ontology Semantics and Their Relationships
2.5 Conclusions
References
3 Research and Implementation of Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network
3.1 Introduction
3.2 Related Work
3.3 Research on the Method of Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network
3.3.1 Characteristics of Electric Distribution Network Data

3.3.2 Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network
3.4 Implementation of the Method of Hybrid Storage for Multi-source Heterogeneous Data of Electric Distribution Network
3.4.1 Design of Hybrid Storage Framework for Power Distribution Data
3.4.2 Implementation of Hybrid Storage Management System for Power Distribution Data
3.5 Application Results
References
4 Research on Measuring Method of Ball Indentation Based on MATLAB Image Edge Detection
4.1 Introduction
4.2 Indentation Measurement
4.3 Edge Detection

4.4 Technical Scheme
4.4.1 Measurement Steps and Methods
4.4.2 Simulation Result
4.5 Concluding Remarks
References
5 Multi-feature Extraction of Mineral Zone of Tabling Through Deep Semantic Segmentation
5.1 Introduction
5.2 Process and Method
5.2.1 Acquisition and Production of Datasets
5.2.2 Construction of Deep Segmentation Model
5.2.3 Training Results of Deep Segmentation Model
5.2.4 Evaluation of Prediction Results of Deep Semantic Segmentation Model
5.3 Multi-scale Geometric Feature Characterization and Extraction of Mineral Zone