Intro
Preface
Contents
Part I Crime and Security
1 Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation
1.1 Introduction
1.2 Cybersecurity
1.2.1 Attacks
1.2.2 Threats
1.2.3 AI as a Tool for Cyber-Attacks
1.3 Conventional Solutions
1.4 Intervention of AI
1.4.1 Recent Trends
1.4.2 AI Based Mitigation of Cyberthreats
1.5 Conclusion
References
2 A Survey on Deep Learning Models to Detect Hate Speech and Bullying in Social Media
2.1 Introduction
2.2 Methodology
2.2.1 Convolution-Based Methods

2.2.2 Sequential Deep Learning Based Methods
2.2.3 Transformer-Based Methods
2.3 Conclusion
References
3 A Deep Learning Based System to Estimate Crowd and Detect Violence in Videos
3.1 Introduction
3.2 Related Work
3.3 Methodology
3.3.1 Crowd Estimation
3.3.2 Violence Detection
3.4 Implementation
3.5 Results and Analysis
3.6 Future Enhancement
3.7 Conclusion
References
4 Role of ML and DL in Detecting Fraudulent Transactions
4.1 Introduction
4.1.1 Introduction to Fraudulent Transaction

4.1.2 Influence of Online Banking on Fraudulent Transaction
4.1.3 Statistics of Fraudulent Transactions
4.1.4 Current Preventive Systems
4.1.5 Introduction to Artificial Intelligence
4.1.6 Introduction to Deep Learning
4.2 Different Detection Systems for Fraud
4.2.1 Hidden Markov Model
4.2.2 Artificial Neural Network (ANN)
4.2.3 Autoencoder
4.2.4 Convolutional Neural Network
4.2.5 Rule-Based Method
4.2.6 Generative Adversarial Network
4.3 Future Scope
4.4 Conclusion
References
Part II Agriculture and Education

5 Employing Image Processing and Deep Learning in Gradation and Classification of Paddy Grain
5.1 Introduction: State of Agriculture Sector in India
5.1.1 Problems and Challenges Faced by the Agriculture Segment of India
5.1.2 Problem Statement and Paper Organization
5.2 Background: The Role of Artificial Intelligence in Agriculture Sector
5.2.1 Usability of Artificial Intelligence and Machine Learning in Agriculture
5.3 Literature Review
5.4 Proposed Approach: Image Processing
5.4.1 Involved Steps
5.4.2 Materials and Tools
5.5 Methodology and Implementation

5.5.1 Plan and Proposed Architecture
5.5.2 The CNN Architecture
5.5.3 Implementation
5.5.4 GUI Creation and Testing
5.6 Results and Discussion
5.7 Future Work
5.8 Conclusion
References
6 Role of Brand Love in Green Purchase Intention: Analytical Study from User's Perspective
6.1 Introduction
6.1.1 Green Purchase Intention
6.1.2 Brand Love
6.1.3 Significance and Scope of Study
6.2 Review of Literature
6.3 Research Methodology
6.3.1 Research Model
6.3.2 Description of Variables
6.3.3 Research Questions
6.3.4 Hypothesis