CONVERGENCE STRATEGIES FOR GREEN COMPUTING AND SUSTAINABLE DEVELOPMENT

CONVERGENCE STRATEGIES FOR GREEN COMPUTING AND SUSTAINABLE DEVELOPMENT
Author: Anonim
Publsiher: Unknown
Total Pages: 0
Release: 2023
Genre: Electronic Book
ISBN: 8369303390

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Convergence Strategies for Green Computing and Sustainable Development

Convergence Strategies for Green Computing and Sustainable Development
Author: Jain, Vishal,Raman, Murali,Agrawal, Akshat,Hans, Meenu,Gupta, Swati
Publsiher: IGI Global
Total Pages: 351
Release: 2024-04-01
Genre: Computers
ISBN: 9798369303405

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Convergence Strategies for Green Computing and Sustainable Development presents a comprehensive exploration of the potential of emerging technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), fog computing, and cloud computing, to aid in fostering a sustainable future. It examines how these technologies can reduce the impact of unsustainability in societies, the environment, and natural resources, offering invaluable insights into harnessing their power for positive change. Convergence Strategies for Green Computing and Sustainable Development serves as a comprehensive strategy that holistically understands, transforms, and develops technological systems in society. This book caters to a diverse range of readers, including graduate students, researchers, working professionals seeking knowledge, and industry experts seeking information about new trends. With its recommended topics and comprehensive table of contents, readers can gain in-depth knowledge about sustainable cloud computing, artificial intelligence and machine learning for sustainable development, sustainable wireless systems and networks, and the crucial role of green IoT and Edge-AI in driving a sustainable digital transition.

Sustainable ICTs and Management Systems for Green Computing

Sustainable ICTs and Management Systems for Green Computing
Author: Hu, Wen-Chen
Publsiher: IGI Global
Total Pages: 496
Release: 2012-06-30
Genre: Business & Economics
ISBN: 9781466618404

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"This book focuses on information technology using sustainable green computing to reduce energy and resources used"--Provided by publisher.

Green Computing Strategies for Competitive Advantage and Business Sustainability

Green Computing Strategies for Competitive Advantage and Business Sustainability
Author: Khosrow-Pour, Mehdi
Publsiher: IGI Global
Total Pages: 324
Release: 2018-02-02
Genre: Business & Economics
ISBN: 9781522550181

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In the age of corporate responsibility, green technology and sustainability continue to grip the consciousness of businesses. However, the development of appropriate business-driven green computing applications requires an awareness of the best practices of the green agenda. Green Computing Strategies for Competitive Advantage and Business Sustainability provides emerging research on maintaining an eco-friendly environment regarding cloud computing and promoting reusability. While highlighting competitive advantages, power consumption, and project evaluation, readers will learn about various techniques for reducing energy consumption in cloud performance and information technology systems. This book is a vital resource for academics, researchers, students, professionals, and managers interested in novel trends in green computing applications and technology.

Machine Learning and Computer Vision for Renewable Energy

Machine Learning and Computer Vision for Renewable Energy
Author: Acharjya, Pinaki Pratim,Koley, Santanu,Barman, Subhabrata
Publsiher: IGI Global
Total Pages: 351
Release: 2024-05-01
Genre: Technology & Engineering
ISBN: 9798369323564

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As the world grapples with the urgent need for sustainable energy solutions, the limitations of traditional approaches to renewable energy forecasting become increasingly evident. The demand for more accurate predictions in net load forecasting, line loss predictions, and the seamless integration of hybrid solar and battery storage systems is more critical than ever. In response to this challenge, advanced Artificial Intelligence (AI) techniques are emerging as a solution, promising to revolutionize the renewable energy landscape. Machine Learning and Computer Vision for Renewable Energy presents a deep exploration of AI modeling, analysis, performance prediction, and control approaches dedicated to overcoming the pressing issues in renewable energy systems. Transitioning from the complexities of energy prediction to the promise of advanced technology, the book sets its sights on the game-changing potential of computer vision (CV) in the realm of renewable energy. Amidst the struggle to enhance sustainability across industries, CV technology emerges as a powerful ally, collecting invaluable data from digital photos and videos. This data proves instrumental in achieving better energy management, predicting factors affecting renewable energy, and optimizing overall sustainability. Readers, including researchers, academicians, and students, will find themselves immersed in a comprehensive understanding of the AI approaches and CV methodologies that hold the key to resolving the challenges faced by renewable energy systems.

Harnessing NanoOmics and Nanozymes for Sustainable Agriculture

Harnessing NanoOmics and Nanozymes for Sustainable Agriculture
Author: Rajput, Vishnu D.,Singh, Abhishek,Ghazaryan, Karen,Alexiou, Athanasios,Said Al-Tawaha, Abdel Rahman Mohammad
Publsiher: IGI Global
Total Pages: 557
Release: 2024-05-01
Genre: Technology & Engineering
ISBN: 9798369318911

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In an era overshadowed by pressing global challenges such as climate change, burgeoning populations, and the depletion of natural resources, the agricultural landscape is at a critical juncture. The need for sustainable practices has never been more urgent, with conventional methods struggling to meet the demands of a growing population while grappling with environmental degradation. Harnessing NanoOmics and Nanozymes for Sustainable Agriculture delves into the heart of the problem, navigating the intricate web of challenges facing agriculture today. From dwindling crop yields to the environmental repercussions of conventional farming practices, the urgency to find innovative, sustainable solutions is paramount. Harnessing NanoOmics and Nanozymes for Sustainable Agriculture offers a comprehensive exploration of nanotechnology's potential to revolutionize agriculture, presenting a promising pathway toward enhanced productivity, minimizing environmental impact, and optimal resource utilization.

Innovations in Engineering and Food Science

Innovations in Engineering and Food Science
Author: Mehta, Shilpa,Islam, Fakhar,Imran, Ali
Publsiher: IGI Global
Total Pages: 445
Release: 2024-01-17
Genre: Technology & Engineering
ISBN: 9798369308202

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As the global population continues to grow, the depletion of Earth's resources poses a significant challenge in ensuring food security for current and future generations. This book addresses this pressing issue by presenting innovative strategies and methods to reduce food loss, enhance production, identify alternative ingredients, and digitize the food system. It explores topics like the circular economy, cellular agriculture, artificial intelligence in food production, and novel sources of ingredients like microalgae and insects. Engineers play a pivotal role in translating ideas into tangible products and services that enhance human lives. Innovations in Engineering and Food Science is a comprehensive guide that explores the latest advancements, technologies, challenges, and solutions in the domains of engineering and food science. This book delves into the integration of cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Quantum Computing, and Virtual and Augmented Reality, showcasing their potential to revolutionize the engineering landscape. With a focus on emerging technologies and practical solutions, this book serves as a valuable resource for researchers, students, academicians, and professionals in these fields.

Reshaping Environmental Science Through Machine Learning and IoT

Reshaping Environmental Science Through Machine Learning and IoT
Author: Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Pateriya, Rajesh Kumar
Publsiher: IGI Global
Total Pages: 459
Release: 2024-05-06
Genre: Technology & Engineering
ISBN: 9798369323526

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In the face of escalating environmental challenges such as climate change, air and water pollution, and natural disasters, traditional approaches to understanding and addressing these issues have yet to be proven sufficient. Academic scholars are compelled to seek innovative solutions that marry digital intelligence and natural ecosystems. Reshaping Environmental Science Through Machine Learning and IoT serves as a comprehensive exploration into the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) to address critical environmental challenges. The book establishes a robust foundation in ML and IoT, explaining their relevance to environmental science. As the narrative unfolds, it delves into diverse applications, providing theoretical insights alongside practical knowledge. From interpreting weather patterns to predicting air and water quality, the book navigates through the intricate web of environmental complexities. Notably, it unveils approaches to disaster management, waste sorting, and climate change monitoring, showcasing the symbiotic relationship between digital intelligence and natural ecosystems. This book is ideal for audiences from students and researchers to data scientists and disaster management professionals with a nuanced understanding of IoT, ML, and Artificial Intelligence (AI).