Intro
Preface
About This Book
Contents
Editors and Contributors
Scenario-Based Neural Network Model for Integrated Lighting Schemes in Residential Buildings
1 Introduction
2 Related Work
3 Background
4 Methodology
4.1 Data Gathering and Analysis
4.2 Simulation in DIALux
4.3 BPNN Model
5 Results
5.1 DIALux Model
5.2 BPNN Model
6 Conclusion
References
Electrical Muscle Stimulation Models Identification Based on Hammerstein Structure and Gravitational Search Algorithm
1 Introduction
2 Problem Description

3 EMS System Design Methodology
4 Simulation Results and Discussions
5 Conclusions
References
Experimental Analysis of ``A Novel Swarm Intelligence Optimization Approach: Sparrow Search Algorithm''
1 Introduction
2 Explanation of Sparrow Search Algorithm (SSA)
3 Flow Chart of Sparrow Search Algorithm (SSA)
4 Experimental Outcomes as Well as Analysis
4.1 Tuning of the Parameters and Environment of Experiment
4.2 Analysis From the Optimal Point of View
4.3 Analysis From Convergence Point of View
5 Conclusion
References

Solving FJSP Using Multi-agent System with GA
1 Introduction
2 Literature Review
3 The Problem Definition
4 The Architecture of Multi-agent System
5 Experimental Findings
6 Conclusion
References
A Comparative Analysis on Optimal Power Allocation and Pairing of User in Downlink NOMA System
1 Introduction
2 System Model
3 User Pairing Strategy and Optimal Power Allocation Technique
3.1 User Pairing Strategy
3.2 Power Allocation Technique
4 Results and Discussions
5 Conclusion
References
Sentiment-Based Community Detection Using Graph Transformation

1 Introduction
2 Related Work
2.1 Sentiment Analysis in Social Networks
2.2 Community Detection
3 Sentiment-Based Community Detection
3.1 Sentiment Analysis
3.2 Graph Generation
3.3 Graph Transformation
3.4 Community Detection
4 Experimental Setup and Results
5 Conclusion
References
Multivariate Data-Driven Approach to Identify Reliable Neural Components and Latency in a P300 Dataset Using Correlated Component Analysis
1 Introduction
2 Materials and Method
2.1 Preprocessing
2.2 Application of Correlated Component Analysis

2.3 Signal-to-Noise Ratio
2.4 Neural Activity Using the Forward Model Approach
3 Result
4 Discussion
5 Conclusion
References
A Framework for an Intelligent Voice-Assisted Language Translation System for Agriculture-Related Queries
1 Introduction
2 Background
3 Methodology
3.1 Kannada Speech Typing
3.2 Kannada Text to English Text Translation and Vice Versa
3.3 Kannada Text to Speech Conversion
4 Results
5 Analysis
5.1 Comparison with Other Translation Systems
6 Conclusion
7 Future Scope
References