Intro
Preface
Acknowledgements
Contents
Classification of MRI Images for Detecting Alzheimer's Disease Using Convolutional Neural Network
1 Introduction
2 Related Works
3 Materials and Methods
3.1 Dataset Description
4 Proposed Methodology
4.1 Proposed Convolutional Neural Networks (CNNs) Architecture
5 Simulation Results and Discussion
6 Conclusion
References
Optimum Over Current Relays Coordination for Radial Distribution Networks Using Soft Computing Techniques
1 Introduction
1.1 Contribution
1.2 Paper Organization

2 Problem Formulation for Over Current Relay Coordination
3 Results and Discussion
References
A Review of Modified Particle Swarm Optimization Method
1 Introduction
2 Review on Inertia Weight Methods
3 Review on Discrete Particle Swarm Optimization
4 Review on Parallel Particle Swarm Optimization
4.1 CPU-Based Parallelization
4.2 GPU-Based Parallelization
5 Conclusion
References
Automated Detection of Elephant Using AI Techniques
1 Introduction
1.1 Aim and Objectives
1.2 Problem Statement
2 Literature Review
3 Methodology

3.1 Detection of Elephant Using YOLOv3
3.2 Detection of Elephant Using SSD_EfficientDet _d0_512 × 512
4 Experiment
4.1 Experimental Setup
5 Results
6 Conclusion and Future Work
6.1 Conclusion
References
Determination of Probability of Failure of Structures Using DBSCAN and Support Vector Machine
1 Introduction
2 Sampling Procedure and Data Scaling
3 Nonlinear SVM
4 Computational Methods for Reliability Analysis
5 Numerical Examples
6 Conclusions
References

The Ensemble of Ant Colony Optimization and Gradient Descent Technique for Efficient Feature Selection and Data Classification
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Ant Colony Optimization (ACO)
3.2 ACO Algorithm for Feature Selection
3.3 Gradient Descent Algorithm for Single-Layer Perceptron(SLP)
4 Experimental Results and Discussions
4.1 Data Set Details
4.2 Classification Performance Using SLP with Gradient Descent
4.3 Identification of Mechanical Parts
5 Conclusions
References
s-Regularity Via Soft Ideal
1 Introduction

2 Preliminaries
3 Soft s-Regular Spaces
4 Conclusion
References
A Comprehensive Study on Mobile Malwares: Mobile Covert Channels-Threats and Security
1 Introduction
2 Android Malware Analysis
3 Covert Channel
3.1 Types of Covert Channels
3.2 Android-Based Covert Channels
4 Related Work
5 Conclusion
References
Overview of Incorporating Nonlinear Functions into Recurrent Neural Network Models
1 Introduction
2 A Simple Recurrent Neural Network
2.1 Model Architecture
2.2 Activation Function
3 Training Recurrent Neural Network