Intro
Preface
Contents
Editors and Contributors
Mitigating Vanishing Gradient in SGD Optimization in Neural Networks
1 Introduction
2 Gradient Descent Optimization
2.1 Scope Identified
3 Vanishing Gradient Problem
4 Activation Functions
4.1 Saturated Activation Function
4.2 Unsaturated Activation Function
5 Adaptive Optimization Methods
6 Other Solutions for VGP
6.1 Batch Normalization
6.2 Gradient Clipping
6.3 Weight Initialization
7 Conclusion
References
A Comparative Analysis of Heart Disease Diagnosis with Machine Learning Models

1 Introduction
2 Related Works
3 Materials and Methods
3.1 Heart Disease Dataset
3.2 Machine Learning Models
3.3 Proposed Framework
4 Experimental Results
4.1 Settings
4.2 Evaluation Metrics
4.3 Results and Discussion
4.4 Examples of Heart Disease Diagnosis
5 Conclusions
References
The Impact of Information System and Technology of Courier Service During Pandemic
1 Introduction
2 Literature Review
3 Research Methodology
3.1 Types of Research
3.2 Variable
3.3 Population
3.4 Sample
3.5 Types of Data
3.6 Data Collection Technique

3.7 Data Analysis Technique
4 Research Result and Discussion
5 Conclusion
References
Event Detection in Social Media Analysis: A Survey
1 Introduction
2 Literature Review
3 Localized Burst Detection
4 Global Burst Detection
5 Conclusion
References
Artificial Intelligence Mechanism to Predict the Effect of Bone Mineral Densıty in Endocrıne Diseases-A Review
1 Introduction
2 Bone Fracture
2.1 Faster R-CNN
2.2 Fivefold Cross-Validation
2.3 Deep Learning-Based Object Detection Model
3 Bone Metabolısm
3.1 Bone Tissue Growth

4 BMD and Osteoporosis
5 Bone Mass in Endocrine Disease
5.1 Diabetes Mellitus
5.2 Thyroid and Diabetes Mellitus
6 Summary and Conclusion
References
Evaluation of Deep Learning CNN Models with 24 Metrics Using Soybean Crop and Broad-Leaf Weed Classification
1 Introduction
2 Related Works
2.1 Weed Detection in the Maize Field
2.2 Estimating Weed Growth
2.3 Multi-classification of Weeds Using HSI Images
2.4 Weed Density Estimation
2.5 Detecting Cotton Weeds Using Yolo Object Detector
2.6 Weed Detection at an Early Stage
3 Materials and Methods

3.1 Module 1-Data Pre-processing
3.2 Module 2-Classification of Crop and Weed
3.3 Module 3-Performance Evaluation
4 Experimental Results
4.1 Results and Discussions
4.2 Graphs-Confusion Matrix and ROC Curve
5 Conclusion and Future Enhancements
5.1 Conclusion
5.2 Future Enhancements
References
Bluetooth Controlled Integrated Robotic Arm with Temperature and Moisture Sensor Modules
1 Introduction
2 Literature Survey
3 Methodology
3.1 Implementation Strategy
3.2 Block Diagram
4 Discussion
5 Results
6 Conclusion
References
Image Dehazing Using Generic Model Agnostic Convolutional Neural Network