Intro
Preface
Organization
Contents
Medical and Health Applications
MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification
1 Introduction
2 Literature Review
3 Proposed Work
3.1 Encoder
3.2 Decoder
3.3 Classification
4 Experiment and Results
4.1 Dataset Setup
4.2 Training and Testing
4.3 Results
5 Conclusion
References
Smartphone Mammography for Breast Cancer Screening
1 Introduction
2 Related Work
3 System Description
4 Simulation
5 Results
6 Conclusion and the Future Work

4 The Solution to Contain Antibiotic Resistance
4.1 Diseasomics Knowledge Graph
4.2 Categorical Belief Knowledge Graph
4.3 Vector Embedding Through Node2Vec
4.4 Probabilistic Belief Knowledge Graph
4.5 De-escalation (Site-Specific and Patient-Specific Resistance)
4.6 The Right Automated Documentation
5 Conclusion
References
Tooth Detection from Panoramic Radiographs Using Deep Learning
1 Introduction
2 Related Works
3 Methodology
3.1 Data Collection
3.2 Data Annotation
3.3 Data Preprocessing
3.4 Object Detection Model
3.5 Performance Analysis

4 Experimental Results
4.1 Localization Loss
4.2 Total Loss
4.3 Learning Rate
4.4 Steps Per Epoch
5 Comparative Study
5.1 Comparison with Clinical Experts
5.2 Comparison with Other Works
6 Conclusion
References
Machine/Deep Learning
Hate Speech Detection Using Static BERT Embeddings
1 Introduction
1.1 BERT
1.2 Attention in Neural Networks
2 Related Work
3 Proposed Methodology
3.1 Static BERT Embedding Matrix
4 Experiments
4.1 Choice of Dataset
4.2 Neural Network Architectures and Testing Environment
5 Results and Discussion

6 Conclusion
References
Fog Enabled Distributed Training Architecture for Federated Learning
1 Introduction
2 Related Work
3 Decentralized Federated Learning
3.1 Architecture
3.2 Online Training and Data Privacy
4 Evaluation and Results
4.1 Docker Based Fog Federation Framework
4.2 FMCW Radar Dataset for Federated Learning
4.3 Results and Analysis
5 Conclusions and Future Work
References
Modular ST-MRF Environment for Moving Target Detection and Tracking Under Adverse Local Conditions
1 Introduction
1.1 Data Collection and Pre-processing