Green Computational Intelligence
Description
Transform your approach to technology and sustainability with this comprehensive guide to green computing and computational intelligence.
The global pursuit of sustainability has placed an urgent emphasis on developing innovative and eco-friendly technological solutions. Green computing has the potential to revolutionize the way we evaluate sustainability with the use of energy-efficient algorithms for resource optimization, sustainable hardware design, and smart resource management. Recognizing the intersection of computational intelligence and environmental stewardship, this book seeks to address the pressing challenges of integrating green practices into the realm of computational intelligence and aligning them with global sustainable development goals. Through global expertise from researchers and industry professionals, this book comprehensively covers the many applications of these innovative new technologies, as well as the challenges surrounding their implementation.
Readers will find the book:
- Explores the convergence of environmental sustainability and advanced computational techniques, addressing the global call for energy-efficient and eco-friendly technological solutions;
- Integrates perspectives from computer science, engineering, environmental science, and artificial intelligence, providing a holistic view of green computing;
- Examines sustainable practices across diverse topics, including energy-efficient algorithms and resource optimization, sustainable hardware design, green software engineering, eco-friendly data centers, and smart resource management;
- Offers practical strategies for implementing sustainable computing practices while addressing theoretical and practical challenges;
- Highlights the role of computational intelligence in promoting sustainability, bridging the gap between technology development and environmental conservation.
Audience
Researchers, students, educators, and industry professionals working towards sustainable practices in and using green technology.
More details
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Persons
Nitish Pathak, PhD is an associate professor in the Department of Computer Science and Engineering, the Bhagwan Parshuram Institute of Technology, Guru Gobind Singh Indraprastha University, New Delhi, India with over 19 years of teaching experience. He has authored and edited over ten books and published over 125 articles in international journals, conferences, patents, and book chapters. His research interests include intelligent computing techniques, empirical software engineering, trusted operating systems, cloud computing, the IoT, and artificial intelligence.
Neelam Sharma, PhD is a senior assistant professor in the Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, New Delhi, India with over 19 years of teaching experience. She has published over 95 papers in international journals, conferences, patents, and book chapters. Her research focuses on wireless sensor networks, wireless body area networks, mobile communications, AI, IoT, information security, and computer graphics.
Moolchand Sharma, PhD is an assistant professor in the Department of Computer Science and Engineering at the Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, New Delhi, India. He has published four books and several book chapters, as well as numerous scientific research publications in reputed international journals and conferences. His research areas include artificial intelligence, nature-inspired computing, security in cloud computing, machine learning, and search engine optimization.
Dac-Nhuong Le, PhD is an associate professor of Computer Science and Dean of the Faculty of Information Technology at Haiphong University, Vietnam with over 20 years of teaching experience. He has authored and edited over 35 books and numerous articles in international journals and conferences. His areas of research include soft computing, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT, and image processing for biomedicine.
Content
Preface xix
Part I: AI and IoT for Sustainable Technologies and Smart Systems 1
1 Artificial Intelligence and IoT for Smart Farming: Environmental Sustainability 3
Kshatrapal Singh, Yogesh Kumar Sharma, Vijay Shukla, Dhiraj Gupta and Arun Kumar Rai
2 Importance of Sustainability in Technology 19
Sarika Kumari, Nitish Pathak and Neelam Sharma
3 Energy-Efficient Spectrum Allocation Strategy for Cognitive Radio Network with Compressive Sensing and Relevance Vector Machine 37
Manish Sharma and Somya Dubey
4 Exploring Predictive Models for Software Maintenance: Current Approaches and Emerging Trends 59
Yogita Khatri and Urvashi Rahul Saxena
5 Green Computing Strategies: Enhancing Energy Efficiency in Computing Systems 85
Deepika Bhatia, Oshi Sharma and Swyam Sharma
6 The Resurgence of Predictive Models of ESG Technology Strives for a Sustainable Paradigm 107
Sonali Srivastava, Manisha Singh and Anubha Vashisht
7 Eco-Intelligence: The Pivotal Role of Artificial Intelligence (AI) and Machine Learning (ML) in Shaping Sustainable Practices Across Industries 125
R. Venkatesh, Nitish Pathak, P.G. Akila and Neelam Sharma
8 Enhancing the Operational Efficiency of FPOs by Using Predictive Model Building in Machine Learning Through Feature Selection Method 159
P. Sreelakshmi, Santosh Basavaraj and Helen Josephine V. L.
9 Business Intelligence through Forecasting and Trend Analysis on Global Renewable Energy Consumption 189
A. Kannammal, E. Chandra Blessie, Dinesh Kumar T. and Vignesh N.
10 Generative AI Framework for Asian Healthcare Organizations 207
M. Suchitra, Binoy Varghese Cheriyan, Afsar Shaik and Maneesha Panguluru
11 Harnessing AI and Machine Learning for a Sustainable Environment 233
Pranati Rakshit, Priyanshu Pal and Sabyasachi Pramanik
12 Internet of Things (IoT) for Sustainable Resource Management 263
Manjushree Nayak, Bharata Roshan Sahu, Sumesha Das and Satyam Singh
Part II: Green AI, Computational Intelligence, and Smart Applications 291
13 Driving Business Success through Green Innovation and Sustainable Practices 293
Nitin N. Sakhare, Rushikesh S. Tanksale, Rupali A. Mahajan, Manoj Jagdale and Disha S. Wankhede
14 Applications of Green Computational Intelligence 313
Deepika Bhatia, Moksh Adlakha and Tanisha Sharma
15 MA-Dense-Res-CapsNet: Multiple Attention Dense Residual Capsule Network for Classification of Lung Carcinoma 337
S. Poonkodi and M. Kanchana
16 Refined U-Net++ Architecture: Deep Learning for the Segmentation and Classification of Tomato Plant Diseases Utilizing Aquila Optimization 369
Jayanthi V. and Kanchana M.
17 ANN Modeling for the Smart Design of Monopile Foundation in the Offshore Wind Turbine Structures 387
R. Mohana and S.M. Leela Bharathi
18 Green Artificial Intelligence: Eco-Friendly Technology for Futures and Intelligent Cities 405
Nitesh Kumar, Sudha Bharti, Nitish Pathak and Neelam Sharma
19 Machine Learning for Energy Optimization in Computing Systems 425
Monika Bansal, Nishi Jain, Nitish Pathak and Neelam Sharma
20 The Synergy Between Green Computational Intelligence and Cybersecurity 459
Aparna Agarwal and Khoula Al Harthy
Bibliography 499
Index 503
