Computational Intelligence In Sustainable Computing And Optimization

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Computational Intelligence In Sustainable Computing And Optimization

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Author : Balamurugan Balusamy
language : en
Publisher: Elsevier
Release Date : 2024-10-08

Computational Intelligence In Sustainable Computing And Optimization written by Balamurugan Balusamy and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Computers categories.

Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications, such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, artificial intelligence, and computer science to optimize environmental resourcesComputational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. In addition, data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modeling, data analysis, and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable. - Presents computational, intelligence–based data analysis for sustainable computing applications such as pattern recognition, biomedical imaging, sustainable cities, sustainable transport, sustainable agriculture, and sustainable financial management - Develops research in sustainable computing and optimization, combining methods from engineering, mathematics, and computer science to optimize environmental resources - Includes three foundational chapters dedicated to providing an overview of computational intelligence and optimization techniques and their applications for sustainable computing

Smart And Sustainable Intelligent Systems

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Author : Namita Gupta
language : en
Publisher: John Wiley & Sons
Release Date : 2021-03-08

Smart And Sustainable Intelligent Systems written by Namita Gupta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-08 with Computers categories.

The world is experiencing an unprecedented period of change and growth through all the electronic and technilogical developments and everyone on the planet has been impacted. What was once ‘science fiction’, today it is a reality. This book explores the world of many of once unthinkable advancements by explaining current technologies in great detail. Each chapter focuses on a different aspect - Machine Vision, Pattern Analysis and Image Processing - Advanced Trends in Computational Intelligence and Data Analytics - Futuristic Communication Technologies - Disruptive Technologies for Future Sustainability. The chapters include the list of topics that spans all the areas of smart intelligent systems and computing such as: Data Mining with Soft Computing, Evolutionary Computing, Quantum Computing, Expert Systems, Next Generation Communication, Blockchain and Trust Management, Intelligent Biometrics, Multi-Valued Logical Systems, Cloud Computing and security etc. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.

Computational Intelligence And Sustainable Systems

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Author : H. Anandakumar
language : en
Publisher: Springer
Release Date : 2018-12-14

Computational Intelligence And Sustainable Systems written by H. Anandakumar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-14 with Technology & Engineering categories.

This book features research related to computational intelligence and energy and thermal aware management of computing resources. The authors publish original and timely research in current areas of power, energy, temperature, and environmental engineering as and advances in computational intelligence that are benefiting the fields. Topics include signal processing architectures, algorithms, and applications; biomedical informatics and computation; artificial intelligence and machine learning; green technologies in information; and more. The book includes contributions from a wide range of researchers, academicians, and industry professionals. The book is made up both of extended papers presented at the International Conference on Intelligent Computing and Sustainable System (ICICSS 2018), September 20-21, 2018, and other accepted papers on R&D and original research work related to the practice and theory of technologies to enable and support Intelligent Computing applications.

Artificial Intelligence And Sustainable Computing

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Author : Hari Mohan Dubey
language : en
Publisher: Springer Nature
Release Date : 2021-07-19

Artificial Intelligence And Sustainable Computing written by Hari Mohan Dubey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Technology & Engineering categories.

This book presents the outcome of two-day 2nd International e-Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2020) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from December 18–19, 2020. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Handbook Of Intelligent Computing And Optimization For Sustainable Development

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Author : Mukhdeep Singh Manshahia
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-11

Handbook Of Intelligent Computing And Optimization For Sustainable Development written by Mukhdeep Singh Manshahia and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-11 with Technology & Engineering categories.

HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.

Intelligent Decision Support Systems For Sustainable Computing

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Author : Arun Kumar Sangaiah
language : en
Publisher: Springer
Release Date : 2017-03-14

Intelligent Decision Support Systems For Sustainable Computing written by Arun Kumar Sangaiah and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-14 with Technology & Engineering categories.

This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective. Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering disciplines, and there has been an increase in the amount of literature on aspects sustainable computing such as energy efficiency and natural resources conservation that emphasizes the role of ICT (information and communications technology) in achieving system design and operation objectives. The energy impact/design of more efficient IT infrastructures is a key challenge in realizing new computing paradigms. The book explores the uses of computational intelligence (CI) techniques for intelligent decision support that can be exploited to create effectual computing systems, and addresses sustainability problems in computing and information processing environments and technologies at the different levels of CI paradigms. An excellent guide to surveying the state of the art in computational intelligence applied to challenging real-world problems in sustainable computing, it is intended for scientists, practitioners, researchers and academicians dealing with the new challenges and advances in area.

Intelligent Computing And Optimization For Sustainable Development

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Author : Veena Grover
language : en
Publisher: CRC Press
Release Date : 2024-12-19

Intelligent Computing And Optimization For Sustainable Development written by Veena Grover and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Computers categories.

This book presents insights into how Intelligent Computing and Optimization techniques can be used to attain the goals of Sustainable Development. It provides a comprehensive overview of the latest breakthroughs and recent developments in sustainable, intelligent computing technologies, applications, and optimization techniques across various industries, including business process management, manufacturing, financial sector, agriculture, financial sector, supply chain management, and healthcare. It focuses on computational intelligent techniques and optimization techniques to provide sustainable solutions to many problems. Features: Provides insights into the theory, implementation, and application of computational intelligence techniques in many industries Includes industry practitioner perspectives and case studies for a better understanding of sustainable solutions Highlights the role of intelligent computing and optimization as key technologies in decision-making processes and in providing cutting-edge solutions to real-world problems Addresses the challenges and limitations of computational approaches in sustainability, such as data availability, model uncertainty, and computational complexity, while also discusses emerging opportunities and future directions in the field This book will be useful for professionals and scholars looking for up-to-date research on cutting-edge perspectives in the field of computational intelligent and optimization techniques in the areas of agriculture, industry, financial sector, business automation, renewable energy, optimization, and smart cities.

Green Computational Intelligence

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Author : Nitish Pathak
language : en
Publisher: John Wiley & Sons
Release Date : 2025-11-03

Green Computational Intelligence written by Nitish Pathak and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-03 with Computers categories.

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.

Artificial Intelligence And Sustainable Computing

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Author : Manjaree Pandit
language : en
Publisher: Springer Nature
Release Date : 2022-11-15

Artificial Intelligence And Sustainable Computing written by Manjaree Pandit and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-15 with Technology & Engineering categories.

This book presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13–14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Green Artificial Intelligence Sustainable Techniques Applications And Future Directions

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Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-02

Green Artificial Intelligence Sustainable Techniques Applications And Future Directions written by Nitin Liladhar Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Computers categories.

The recent years have seen the artificial intelligence increase exponentially, which has fundamentally changed all human activities, including healthcare and transportation, education, and environmental management. However, in this critical time in technological development, we have to face a very inconvenient reality, and it is the same systems that we invent to address the most crucial problems humanity has ever faced that are now playing a major role in one of the most urgent disasters humanity has ever experienced climate change. This book is a result of the desperate necessity to balance the radical potential of artificial intelligence with the necessity to take care of the planet in an environmentally responsible manner so that we could leave it to our future generations. The genesis of this piece is based on a problematic observation that the AI community has accomplished much in developing model powers and broadening their uses, yet there has been comparatively little focus done regarding the environmental impact of the successes. The process of training one large language model can be as energy-intensive as hundreds of homes per year, and production of state-of-the-art AI systems amounts to carbon emissions similar to transcontinental travel. The realization of the sobering fact requires a radical change in the conceptualization, development, and implementation of artificial intelligence systems. This multifaceted book is the collection of the most innovative studies, effective practices, and applications in the real world that is going to lead to the really sustainable artificial intelligence. In nine carefully developed chapters, we stroll through the diverse environment of our world of energy-saving machine learning comprising algorithmic optimizations and green machine learning architectures, distributed machine learning frameworks and explainable AI models. To a certain extent, every chapter is a part of a bigger puzzle, which is how to leverage the transformative nature of AI and reduce its environmental impact. Our exploration starts with the study of energy efficient machine learning algorithms, where we discover methods to optimize them and minimize their computational and other costly needs by up to 90 per cent and preserve their performance. Then we explore the carbon footprint of deep learning systems, introducing novel green computing approaches that refute the classic trade-offs between model complexity and environmental sustainability. The discussion of federated learning and distributed AI models demonstrates that not only privacy and security improving, but also, the decentralized processes can lower the costs of the energy used to process data in a centralized data processing domain significantly. In addition to the technical background, this book is concerned with the transformative uses of sustainable AI in different spheres. We show how AI can save energy by enabling clean urban infrastructure to coexist with environmental care, such as precision agriculture, which maximizes efficiency in resource use by developing a broader global economy, and smart cities that ensure the sustainability of human activities. The correlation between the renewable energy prediction, the circular economy, and the manufacturing with the help of the blockchain is an example of how AI may not only reduce its impact on the environment but also be an active participant in the comprehensive processes of climate change mitigation. One of the peculiarities of this work is its adherence to the intention to cover the gap between theoretical developments and practice. Not only conceptual frameworks and algorithmic innovations but also metrics of performance verification, the issues of deployment and the real-world cases are given in each chapter. We also acknowledge that the way to sustainable AI is not necessarily a technological one, it involves cross-disciplinary cooperation, policy innovation, and complete re-evaluation of the principles of measuring success in the development of artificial intelligence. The target group of this book includes a very wide range of stakeholders in the sphere of the AI ecosystem. Investigators will get detailed reviews of latest methods and reveal of an open research problem. Engineers and practitioners will find workable ways of introducing energy saving measures in their systems. Business leaders and policy makers will have insight as to how sustainable AI adoption would impact economically and environmentally. The systematization of the approach to the presentation of ideas, starting with the basic ones, up to an in-depth application, will be beneficial to students and educators. In the 21 st century, the decisions we make regarding artificial intelligence development will have an echo effect on the generations to come. Climate crisis is an urgent demand, and the potential of AI as a transformative technology is unparalleled in the opportunities it provides to solve the problems of the environment on mass scale. The book posits that the two imperatives position do not conflict with each other, but instead complement one another, i.e. the quest to develop energy-efficient and sustainable AI will produce less harmful environmental impact, on the contrary will enhance innovation and accessibility, and will result in more resilient and adaptive systems. The studies that are exhibited on these pages reflect the collective will of the planet to develop AI in a responsible way. We recognize the individuals who initially raised the issue of the environmental cost of AI, the scientists who were able to devise the optimization methods that have allowed sustainable AI to become practical, and the practitioners that are currently realizing them in real systems. Their shoulders bear this work and he/she wants to hasten the process of changing the world where the environmental sustainability will be enhanced by artificial intelligence, instead of it being a source of environmental destruction. The future of the vision expressed in this book goes farther than increased efficiency in the use of energy. We see a paradigm shift when sustainability is involved in the first-order design when developing AI is considered with equal importance as focus to energy consumption as accuracy regarding the performance of the AI, and when the AI community acknowledges the possibility to be caretakers of not only the advancement of technologies but also the environment. Our presented roadmap is both ambitious and realistic, which will need the involvement of all three academia, industry, and the government. Going green is not just an optimization issue on AI, but a necessity that will become the heritage of our own generation. We have also taken it as our hope that the book can be a reference and a call to action as it can encourage readers to play a role in developing the AI systems that will unlock the human potential without harming the natural world to the bequest of the upcoming generations.