Intro
Preface
Acknowledgements
Contents
About the Editors
Performance Analysis of Machine Learning Algorithms Over a Network Traffic
1 Introduction
2 Literature Survey
3 Problem Specifications
4 Implementation
4.1 The Dataset
4.2 The Supervised Learning
4.3 The Multilayer Perceptron (MLP)
4.4 The Random Forest Classifier
4.5 The Support Vector Machine (SVM)
5 The Performance Evaluation and Results
5.1 The Accuracy
6 Conclusion and Future Work
References

Binary PSO-Based Feature Selection and Neural Network for Parkinson's Disease Prediction
1 Introduction
2 Methodology
2.1 Neural Networks
3 Results and Discussions
4 Conclusion
References
An Evolutionary-Based Additive Tree for Enhanced Disease Prediction
1 Introduction
2 Related Work
3 Methodology
4 Results and Discussions
5 Conclusion
References
Novel Defense Framework for Cross-layer Attacks in Cognitive Radio Networks
1 Introduction
1.1 AI for Cognitive Radio Networks
2 Related Works
3 Attack Models
3.1 PHY Layer Attack Model

3.2 Defense Scheme
3.3 MAC Layer Attack Model
3.4 Defense Scheme
3.5 Cross-Layer Attack
3.6 Cross-Layer Defense
4 Results
4.1 Simulation Setup
4.2 Results
5 Conclusion
References
Texture Based Image Retrieval Using GLCM and LBP
1 Introduction
2 Theoretical Background
2.1 Gray Level Co-occurrence Matrixes (GLCM)
2.2 Local Binary Patterns (LBP)
3 Experimental Results
3.1 Statistical Analysis
4 Conclusion
Reference
Design and Development of Bayesian Optimization Algorithms for Big Data Classification Based on MapReduce Framework

1 Introduction
2 Correlative Naive Bayes Classifier (CNB)
3 Cuckoo Grey Wolf Optimization with Correlative Naïve Bayes Classifier (CGCNB)
4 Fuzzy Correlative Naive Bayes Classifier (FCNB)
5 Holoentropy Using Correlative Naïve Bayes Classifier for a Big Data Classification (HCNB)
6 Results and Discussion
6.1 Performance Evaluation
7 Conclusion
References
An IoT-Based BLYNK Server Application for Infant Monitoring Alert System to Detect Crying and Wetness of a Baby
1 Introduction
2 Related Work
3 The Proposed Architecture of Baby Monitoring System

3.1 Baby Cry Detection Algorithm
3.2 Wetness Detection Algorithm
4 Experimental Results
4.1 Noise Detection by the System
4.2 Playing Songs
4.3 Wetness Detection
4.4 Turning on the Fan
5 Conclusions and Future Work
References
Analysis of DEAP Dataset for Emotion Recognition
1 Introduction
2 Related Work
2.1 Foundations
3 Procedure
4 Results
5 Conclusions and Discussions
References
A Machine Learning Approach for Air Pollution Analysis
1 Introduction
2 Related Work
3 Methodology