Computational Intelligence In Sustainable Computing And Optimization

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Computational Intelligence in Sustainable Computing and Optimization

Author : Balamurugan Balusamy,Vinayakumar Ravi,Rajesh Kumar Dhanaraj,Sudha Senthilkumar,Brindha K
Publisher : Elsevier
Page : 0 pages
File Size : 49,7 Mb
Release : 2024-10-01
Category : Computers
ISBN : 9780443237256

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Computational Intelligence in Sustainable Computing and Optimization by Balamurugan Balusamy,Vinayakumar Ravi,Rajesh Kumar Dhanaraj,Sudha Senthilkumar,Brindha K Pdf

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, and computer science to optimize environmental resources. Computational 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. Data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modelling, data analysis and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable. The field of optimization is well-known and has a diverse range of applications, including route finding problems, medical treatment, construction, finance, accounting, engineering, and maintenance schedules. Optimizing real-world problems requires understanding their nature, grouping them properly, and employing appropriate techniques that can resolve them efficiently. Nature-inspired computational algorithms have been shown to provide robust solutions for emerging and substantiated problems by utilizing heuristic algorithms. Heuristic techniques aim to find the optimal solution to the query in a timely manner. There are several categories of computational intelligence based on nature, including artificial immune systems, evolutionary algorithms, swarm intelligence, artificial neural networks, and geoscience-based algorithms, and these are applied by the authors of the book to solve various problems in sustainable computing. 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 how they can be applied to sustainable computing

Computational Intelligence and Sustainable Systems

Author : H. Anandakumar,R. Arulmurugan,Chow Chee Onn
Publisher : Springer
Page : 304 pages
File Size : 40,7 Mb
Release : 2018-12-14
Category : Technology & Engineering
ISBN : 9783030026745

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Computational Intelligence and Sustainable Systems by H. Anandakumar,R. Arulmurugan,Chow Chee Onn Pdf

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.

Handbook of Intelligent Computing and Optimization for Sustainable Development

Author : Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant
Publisher : John Wiley & Sons
Page : 948 pages
File Size : 50,8 Mb
Release : 2022-03-15
Category : Technology & Engineering
ISBN : 9781119791829

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Handbook of Intelligent Computing and Optimization for Sustainable Development by Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant Pdf

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.

Smart and Sustainable Intelligent Systems

Author : Namita Gupta,Prasenjit Chatterjee,Tanupriya Choudhury
Publisher : John Wiley & Sons
Page : 576 pages
File Size : 49,7 Mb
Release : 2021-04-13
Category : Computers
ISBN : 9781119750581

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Smart and Sustainable Intelligent Systems by Namita Gupta,Prasenjit Chatterjee,Tanupriya Choudhury Pdf

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.

Artificial Intelligence and Sustainable Computing

Author : Manjaree Pandit
Publisher : Springer Nature
Page : 714 pages
File Size : 50,6 Mb
Release : 2024-06-26
Category : Electronic
ISBN : 9789819703272

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Artificial Intelligence and Sustainable Computing by Manjaree Pandit Pdf

Intelligent Decision Support Systems for Sustainable Computing

Author : Arun Kumar Sangaiah,Ajith Abraham,Patrick Siarry,Michael Sheng
Publisher : Springer
Page : 289 pages
File Size : 40,6 Mb
Release : 2017-03-14
Category : Technology & Engineering
ISBN : 9783319531533

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Intelligent Decision Support Systems for Sustainable Computing by Arun Kumar Sangaiah,Ajith Abraham,Patrick Siarry,Michael Sheng Pdf

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.

Artificial Intelligence and Sustainable Computing

Author : Hari Mohan Dubey,Manjaree Pandit,Laxmi Srivastava,Bijaya Ketan Panigrahi
Publisher : Springer Nature
Page : 483 pages
File Size : 42,9 Mb
Release : 2021-07-19
Category : Technology & Engineering
ISBN : 9789811612206

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Artificial Intelligence and Sustainable Computing by Hari Mohan Dubey,Manjaree Pandit,Laxmi Srivastava,Bijaya Ketan Panigrahi Pdf

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.

Artificial Intelligence and Sustainable Computing

Author : Manjaree Pandit,M. K. Gaur,Prashant Singh Rana,Akhilesh Tiwari
Publisher : Springer Nature
Page : 757 pages
File Size : 47,6 Mb
Release : 2022-11-15
Category : Technology & Engineering
ISBN : 9789811916533

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Artificial Intelligence and Sustainable Computing by Manjaree Pandit,M. K. Gaur,Prashant Singh Rana,Akhilesh Tiwari Pdf

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.

Big Data Analytics for Sustainable Computing

Author : Haldorai, Anandakumar,Ramu, Arulmurugan
Publisher : IGI Global
Page : 263 pages
File Size : 46,8 Mb
Release : 2019-09-20
Category : Computers
ISBN : 9781522597520

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Big Data Analytics for Sustainable Computing by Haldorai, Anandakumar,Ramu, Arulmurugan Pdf

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Artificial Intelligence and Sustainable Computing

Author : Manjaree Pandit,M. K. Gaur,Sandeep Kumar
Publisher : Springer Nature
Page : 737 pages
File Size : 54,6 Mb
Release : 2023-10-25
Category : Technology & Engineering
ISBN : 9789819914319

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Artificial Intelligence and Sustainable Computing by Manjaree Pandit,M. K. Gaur,Sandeep Kumar Pdf

This book presents high-quality research papers presented at 4th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2022) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 19 to 20, 2022. 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.

Decision Support Systems for Sustainable Computing

Author : Muhammet Deveci
Publisher : Elsevier
Page : 286 pages
File Size : 41,7 Mb
Release : 2024-06-03
Category : Computers
ISBN : 9780443235986

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Decision Support Systems for Sustainable Computing by Muhammet Deveci Pdf

Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The book provides a broad overview of digital technology transformation as applied to the circular economy which is seeking to drive improvements in scientific research, communication, logistics, automation, production, and the improved sustainability of these processes and products. The book explores applications of decision support for sustainable development across supply chain management, business intelligence, agriculture, aviation, communications, and finance. Provides a broad overview of emerging trends and technologies in decision support systems applications Investigates recent trends and core concepts in digital technology transformation as applied to the circular economy and sustainable development Analyzes the application of decision support systems models across a range of case studies and processes which rely on multi-criteria decision-making and have been designed specifically to improve overall sustainability

Computational Intelligence for Green Cloud Computing and Digital Waste Management

Author : Kumar, K. Dinesh,Varadarajan, Vijayakumar,Nasser, Nidal,Poluru, Ravi Kumar
Publisher : IGI Global
Page : 426 pages
File Size : 50,5 Mb
Release : 2024-02-27
Category : Computers
ISBN : 9798369315538

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Computational Intelligence for Green Cloud Computing and Digital Waste Management by Kumar, K. Dinesh,Varadarajan, Vijayakumar,Nasser, Nidal,Poluru, Ravi Kumar Pdf

In the digital age, the relentless growth of data centers and cloud computing has given rise to a pressing dilemma. The power consumption of these facilities is spiraling out of control, emitting massive amounts of carbon dioxide, and contributing to the ever-increasing threat of global warming. Studies show that data centers alone are responsible for nearly eighty million metric tons of CO2 emissions worldwide, and this figure is poised to skyrocket to a staggering 8000 TWh by 2030 unless we revolutionize our approach to computing resource management. The root of this problem lies in inefficient resource allocation within cloud environments, as service providers often over-provision computing resources to avoid Service Level Agreement (SLA) violations, leading to both underutilization of resources and a significant increase in energy consumption. Computational Intelligence for Green Cloud Computing and Digital Waste Management stands as a beacon of hope in the face of the environmental and technological challenges we face. It introduces the concept of green computing, dedicated to creating an eco-friendly computing environment. The book explores innovative, intelligent resource management methods that can significantly reduce the power consumption of data centers. From machine learning and deep learning solutions to green virtualization technologies, this comprehensive guide explores innovative approaches to address the pressing challenges of green computing. Whether you are an educator teaching about green computing, an environmentalist seeking sustainability solutions, an industry professional navigating the digital landscape, a resolute researcher, or simply someone intrigued by the intersection of technology and sustainability, this book offers an indispensable resource.

Computational Intelligence Methods for Green Technology and Sustainable Development

Author : Yo-Ping Huang,Wen-June Wang,Hoang An Quoc,Hieu-Giang Le,Hoai-Nam Quach
Publisher : Springer Nature
Page : 685 pages
File Size : 43,5 Mb
Release : 2022-12-14
Category : Technology & Engineering
ISBN : 9783031196942

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Computational Intelligence Methods for Green Technology and Sustainable Development by Yo-Ping Huang,Wen-June Wang,Hoang An Quoc,Hieu-Giang Le,Hoai-Nam Quach Pdf

This book provides readers with peer-reviewed research papers presented at the 6th International Conference on Green Technology and Sustainable Development (GTSD) held in Nha Trang City, Vietnam, from July 29 to 30, 2022. The book is original work of researchers from academia and industry focusing on the theme “Green technology and sustainable development in Industrial Revolution 4.0” not only to raise awareness of the vital importance of sustainability in education, technology, and economic development, but also to highlight the essential roles of technology innovation for the green future. The book presents a wide range of research aspects including energy engineering, electric power systems, renewable energy systems, automatic control engineering, robotics, vehicle engineering, material engineering, construction engineering, mechanical engineering, vibrations, computational analysis, numerical investigation, system failure, technological solutions in health care, and so on. Through thorough research basing on both experimental and numerical methods, the authors feature either solutions for existing problems or optimization and improvement for performance of existing methods. The collected research results could be useful alternatives and implications for industry experts, research institutions, universities, and all others who share a common interest in the future global sustainable development.

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Author : Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng
Publisher : Academic Press
Page : 362 pages
File Size : 43,9 Mb
Release : 2018-08-21
Category : Technology & Engineering
ISBN : 9780128133279

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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications by Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng Pdf

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. Presents a brief overview of computational intelligence paradigms and its significant role in application domains Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing Provides new advances in the fields of CI for bio-engineering application