Advanced Computational Techniques For Sustainable Computing

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Advanced Computational Techniques For Sustainable Computing
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Author : Megha Rathi
language : en
Publisher: CRC Press
Release Date : 2022-07-25
Advanced Computational Techniques For Sustainable Computing written by Megha Rathi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-25 with Computers categories.
Advanced Computational Techniques for Sustainable Computing is considered multi-disciplinary field encompassing advanced computational techniques across several domain, including, Computer Science, Statistical Computation and Electronics Engineering. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. The book offers a comprehensive coverage of some of the most essential topics: It provides an insight on building smart sustainable solutions. Includes details of applying mining, learning, IOT and sensor-based techniques for sustainable computing. Entails data extraction from various sources followed with pre-processing of data, and how to make effective use of extracted data for application-based research. Involves practical usage of data analytic language, including R, Python, etc. for improving sustainable services offered by multi-disciplinary domains. Encompasses comparison and analysis of recent technologies and trends. Includes development of smart models for information gain and effective decision making with visualization. The readers would get acquainted with the utilization of massive data sets for intelligent mining and processing. It includes the integration of data mining techniques for effective decision-making in the social, economic, and global environmental domains to achieve sustainability. The implementation of computational frameworks can be accomplished using open-source software for the building of resource-efficient models. The content of the book demonstrates the usage of data science and the internet of things for the advent of smart and realistic solutions for attaining sustainability.
Harnessing Automation And Machine Learning For Resource Recovery And Value Creation
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Author : Kishor Kumar Sadasivuni
language : en
Publisher: Elsevier
Release Date : 2025-03-31
Harnessing Automation And Machine Learning For Resource Recovery And Value Creation written by Kishor Kumar Sadasivuni and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Technology & Engineering categories.
Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be used to convert waste into valuable resources. This book gives insight in the opportunities offered by automation and machine learning technologies in waste management and how they can help address the challenges associated with waste management and to discuss the benefits and potential of automation technologies. It examines the potential of machine learning algorithms in analyzing waste management data, identifying patterns, predicting future waste generation, and optimizing waste management processes. Moreover, this book showcases case studies from different industries and regions, highlighting the revolutionary applications of automation and machine learning in waste management. This book is an indispensable resource for researchers, waste management professionals, and policymakers interested in learning more about how automation and machine learning can contribute to waste management and the creation of a sustainable future. - Provides insights into the potential of automation and machine learning in waste management inspiring readers to adopt sustainable waste management practices - Offers a comprehensive understanding of how waste management can be transformed into a profitable business by adopting innovative and sustainable solutions - Offers an opportunity to explore case studies from different industries and regions to showcase the revolutionary applications of automation and machine learning in waste management - Provides guidance for waste management professionals, policymakers, and business leaders to optimize waste management processes and improve their bottom line
Microbial Data Intelligence And Computational Techniques For Sustainable Computing
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Author : Aditya Khamparia
language : en
Publisher: Springer Nature
Release Date : 2024-02-29
Microbial Data Intelligence And Computational Techniques For Sustainable Computing written by Aditya Khamparia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-29 with Science categories.
This book offers information on intelligent and computational techniques for microbial data associated with plant microbes, human microbes etc. The main focus of this book is to provide an insight on building smart sustainable solutions for microbial technology using intelligent computational techniques. Microbes are ubiquitous in nature, and their interactions among each other are important for colonizing diverse habitats. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. Chapters in this book explore the conventional methods as well as the most recently recognized high-throughput technologies which are important for productive agroecosystems to feed the growing global population. This book is of interest to teachers, researchers, microbiologist, computer bioinformatics scientists,plant and environmental scientist, and those interested in environment stewardship around the world. The book also serves as an advanced textbook material for undergraduate and graduate students of computer science, biomedicine, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers.
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
Advances In Mathematics Theory Methods Applications
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Author : Akshay Kumar
language : en
Publisher: CRC Press
Release Date : 2025-06-10
Advances In Mathematics Theory Methods Applications written by Akshay Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Mathematics categories.
This book is an excellent collection of various topics of mathematics which include numerical methods, integral equations, and differential equations. The book is recommended to readers to refresh their understanding of applied mathematics with theory and applications. It will be useful to students, researchers, and practitioners working in applied and computational mathematics.
Artificial Intelligence And Sustainable Computing
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Author : Manjaree Pandit
language : en
Publisher: Springer Nature
Release Date : 2023-09-23
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 2023-09-23 with Technology & Engineering categories.
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.
Advanced Computational Methods For Agri Business Sustainability
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Author : Satapathy, Suchismita
language : en
Publisher: IGI Global
Release Date : 2024-07-10
Advanced Computational Methods For Agri Business Sustainability written by Satapathy, Suchismita and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-10 with Business & Economics categories.
Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production. Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals.
Trends In Sustainable Computing And Machine Intelligence
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Author : Surekha Lanka
language : en
Publisher: Springer Nature
Release Date : 2025-06-28
Trends In Sustainable Computing And Machine Intelligence written by Surekha Lanka and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-28 with Computers categories.
This book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2024) organized by Stamford International University, Bangkok, Thailand, during September 12–13, 2024. The book includes original research by researchers working in the field of machine learning. The book covers important topics like decision support systems, neural networks and applications, machine learning, natural language processing, automated problem solving, AI and evolutionary algorithms, intelligent information systems, computational intelligence, computer vision and image processing, cognitive and biologically inspired vision, soft computing and applications, hybrid intelligent systems, distributed computing, pattern recognition and analysis, ubiquitous and high-performance computing, security, trust and privacy, big data for sustainable computing, and energy-aware machine learning.
Artificial Intelligence And Sustainable Computing For Smart City
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Author : Arun Solanki
language : en
Publisher: Springer Nature
Release Date : 2021-07-28
Artificial Intelligence And Sustainable Computing For Smart City written by Arun Solanki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-28 with Computers categories.
This book constitutes selected and revised papers of the First International Conference on Artificial Intelligence and Sustainable Computing for Smart City, AIS2C2 2021, held in Greater Noida, India, in March 2021. Due to the COVID-19 pandemic the conference was held online. The 17 full papers and 3 short papers included were thoroughly reviewed and selected from 204 submissions. They are organized in the following topical sections: sentimental and emotions analysis for smart cities; smart specialization strategies for smart cities; security in smart cities; advances applications for future smart cities; healthcare in smart cities; machine learning applications in smart cities.
Sustainable Information Security In The Age Of Ai And Green Computing
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Author : Gupta, Brij B.
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Sustainable Information Security In The Age Of Ai And Green Computing written by Gupta, Brij B. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.
The convergence of artificial intelligence (AI), green computing, and information security can create sustainable, efficient, and secure IT systems. That is, the latest advancements in leveraging AI may minimize environmental impact, optimize resource usage, and bolster cybersecurity within green IT frameworks. Thus, a holistic view of AI can drive sustainable innovation in computing and information systems. This is important for raising awareness about the importance of sustainability in the tech industry and promoting the adoption of green computing practices among IT professionals and organizations. Sustainable Information Security in the Age of AI and Green Computing contributes to a deeper understanding of the synergies between AI, green computing, and information security, highlighting how these fields can work together to create more sustainable and secure systems. By presenting cutting-edge research, practical solutions, and future trends, the book inspires new ideas and developments in sustainable IT practices and technologies. Covering topics such as digital ecosystems, malware detection, and carbon emission optimization, this book is an excellent resource for IT managers, data center operators, software developers, cybersecurity experts, policymakers, corporate decision-makers, professionals, researchers, scholars, academicians, and more.