Applying Computational Intelligence for Social Good

Track, Understand and Build a Better world

1st Edition, Volume 132 - January 14, 2024
Editors: Preetha Evangeline David, P Anandhakumar
Language: English
Hardback ISBN:
9 7 8 - 0 - 3 2 3 - 8 8 5 4 4 - 7
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 8 5 4 5 - 4

Applying Computational Intelligence for Social Good: Track, Understand and Build a Better World, Volume 132 presents views on how Computational Intelligent and ICT technolog… Read more

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Applying Computational Intelligence for Social Good: Track, Understand and Build a Better World, Volume 132 presents views on how Computational Intelligent and ICT technologies can be applied to ease or solve social problems by sharing examples of research results from studies of social anxiety, environmental issues, mobility of the disabled, and problems in social safety. Sample chapters in this release include Why is implementing Computational Intelligence for social good so challenging? Principles and its Application, Smart crisis management system for road accidents using Geo-Spacial Machine Learning Techniques, Residential Energy Management System (REMS) Using Machine Learning, Text-Based Personality Prediction using XLNet, and much more.

Cover image
Title page
Table of Contents
Copyright
Contributors
Preface
Chapter One Why is implementing computational intelligence for social good so challenging? Principles and its application
Abstract
1 Introduction
2 What is computational intelligence?
3 What is the difference between artificial intelligence and computational intelligence?
4 Science and engineering
5 Relationship to other disciplines
6 Representation and reasoning
7 Ontology and conceptualization
8 What is the impact of computational intelligence on society?
9 Challenges to be faced
10 Positive impacts of computational intelligence on society
11 Mapping CI use cases to domains of social good
12 Perceptions in depth
Further reading
Chapter Two Smart crisis management system for road accidents based on Modified Convolutional Neural Networks–Particle Swarm Optimization hybrid algorithm
Abstract
1 Background
2 Implementation
3 Post-detection steps
4 Conclusion
References
Further reading
Chapter Three Residential energy management system (REMS) using machine learning
Abstract
1 Introduction
2 Proposed smart energy management system
3 Proposed smart REMS model
4 Load shifting algorithm
5 Solar power generation prediction using ANN
6 Battery optimization algorithm
7 Results and discussions
8 Conclusion
References
Chapter Four Text-based personality prediction using XLNet
Abstract
1 Introduction
2 Related works
3 Method
4 Results and discussion
5 Conclusion
References
Chapter Five Articulating the power of reasoning and gathering data for information security and justice
Abstract
1 Introduction
2 Five challenges to AI security
3 Typical AI security attacks
4 AI Security layered defense
5 AI model security
6 Security architectures of AI services
7 Collaborating for a safe and a smart future
References
Chapter Six Bayesian network-based quality assessment of blockchain smart contracts
Abstract
1 Introduction
2 Literature work
3 Smart contract quality metrics
4 Proposed work
5 Experimental and comparison results
6 Conclusion
References
Chapter Seven Short-term wind power prediction using deep learning approaches
Abstract
1 Introduction
2 Dataset and components of wind turbine
3 Proposed work
4 Conclusion and future works
Conflicts of Interest
References
Chapter Eight Cyber data trend and intelligent computing
Abstract
1 Introduction
2 AI defense against today's cyber threats
3 Understanding cyber security data
4 AI-driven cybercrimes
5 Executive perspectives
6 Zero trust
7 Beefing up basic cyber hygiene
8 Engineered security automation and orchestration
9 Machine learning tasks in cyber security
10 Research issues and future directions
11 Discussion
12 Conclusion
Further reading
Chapter Nine Reshaping agriculture using intelligent edge computing
Abstract
1 Introduction
2 Smart agriculture
3 Smart farming initiatives is the need of the hour
4 Commonly used sensors for smart farming and heavy metal identification
5 High performance computing on edge (HPCE)
6 Processing in agriculture
7 The proposed system
References
Further reading
Chapter Ten An automatic path navigation for visually challenged people using deep Q learning
Abstract
1 Introduction
2 Literature survey
3 Proposed work
4 Implementation and algorithm
5 Results and output
6 Conclusion
References
Chapter Eleven Delineating computational intelligence during epidemic emergencies and outbreaks
Abstract
1 Introduction
2 Literature review
3 Method
4 Results
5 Limitations
6 Conclusion
References
Chapter Twelve ClubNet: Deep learning model for computation, calibration and estimation of biotic stress in crops
Abstract
1 Introduction
2 Related works
3 Dataset and pre-processing
4 Proposed ClubNet model
5 Experimental setup
6 Results and discussion
7 Conclusion
References
Further reading
Chapter Thirteen Automatic programming (source code generator) based on an ontological model
Abstract
1 Introduction
2 Automatic code generation use cases
3 Materials and methods
4 Experimentation details
5 Results
6 Training results
7 Discussion
8 Conclusions
References
Further reading

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Applying Computational Intelligence for Social Good

Track, Understand and Build a Better world

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Institutional subscription on ScienceDirect

Preetha Evangeline David

P Anandhakumar