Intro
Preface
Organization
Contents
Computing Nash Equilibrium of Crops in Real World Agriculture Domain
1 Introduction
2 Related Works
3 Non-cooperative Game
3.1 Strategic Form Game and Nash Equilibrium
3.2 Prisoner Dilemma
3.3 Cardinal vs Ordinal Utility
4 Complexity of the Problem
4.1 Typical Cases
4.2 Relation of Agent Payoffs
4.3 Case of 3 Agents and 2 Strategies
4.4 Case of 3 Agents and 3 Strategies
5 Searching for Nash Equilibrium
5.1 Control Loops
5.2 Algorithm for Examining Nash Equilibrium
5.3 Supporting Algorithms

6 Experiments and Results
6.1 Overview Result
6.2 Detailed Results
7 Conclusion
References
Evolutionary Feature Weighting Optimization and Majority Voting Ensemble Learning for Curriculum Recommendation in the Higher Education
1 Introduction
2 Material and Methods
2.1 Research Definition
2.2 Data Collection and Word Segmentation
2.3 Research Tools
3 Research Results
3.1 Model Performance Classified by Technique
3.2 Majority Voting Prototype Model
4 Research Discussion
5 Conclusion
References

Fuzzy Soft Relations-Based Rough Soft Sets Classified by Overlaps of Successor Classes with Measurement Issues
1 Introduction
2 Preliminaries
2.1 Some Basic Notions of Fuzzy Sets
2.2 Some Basic Notions of Soft Sets and Fuzzy Soft Relations
3 Main Results
3.1 Overlaps of Successor Classes via Fuzzy Soft Relations
3.2 Rough Soft Sets Based on Overlaps of Successor Classes
3.3 Measurement Issues
4 Conclusions
References
Helmet Detection System for Motorcycle Riders with Explainable Artificial Intelligence Using Convolutional Neural Network and Grad-CAM

1 Introduction
2 Related Works
2.1 Helmet Detection
2.2 Deep Learning and Convolution Neural Network
2.3 Histograms of Oriented Gradient (HOG)
2.4 Object Detection
2.5 Convolutional Neural Network
2.6 Explainable AI
2.7 Grad-CAM
3 Methodology
3.1 Data Collection and Preprocessing
3.2 Deep Convolution Neural Network
4 Experiment Setup and Results
4.1 Visualization and Explainable AI
5 Conclusion
References
Hierarchical Human Activity Recognition Based on Smartwatch Sensors Using Branch Convolutional Neural Networks
1 Introduction

2 Related Works
3 The Sensor-Based HAR Framework
3.1 WISDM-HARB Dataset
3.2 Data Pre-processing
3.3 Branch Convolutional Neural Network
3.4 Performance Measurement Criteria
4 Experiments and Results
4.1 Experiments
4.2 Experimental Results
5 Conclusions
References
Improving Predictive Model to Prevent Students' Dropout in Higher Education Using Majority Voting and Data Mining Techniques
1 Introduction
2 Materials and Methods
2.1 Population and Sample
2.2 Data Acquisition Procedure
2.3 Model Construction Tools