Artificial Intelligence And Sustainable Computing

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Artificial Intelligence and Sustainable Computing

Author : Hari Mohan Dubey
Publisher : Springer Nature
ISBN 13 : 981161220X
Total Pages : 483 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Artificial Intelligence and Sustainable Computing by : Hari Mohan Dubey

Download or read book Artificial Intelligence and Sustainable Computing written by Hari Mohan Dubey and published by Springer Nature. This book was released on 2021-07-19 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Systems and Sustainable Computing

Author : V. Sivakumar Reddy
Publisher : Springer Nature
ISBN 13 : 9811900116
Total Pages : 662 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Intelligent Systems and Sustainable Computing by : V. Sivakumar Reddy

Download or read book Intelligent Systems and Sustainable Computing written by V. Sivakumar Reddy and published by Springer Nature. This book was released on 2022-05-28 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of best selected research papers presented at the International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2021), held in School of Engineering, Malla Reddy University, Hyderabad, India, during 24–25 September 2021. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining & data warehousing, cloud computing, distributed computing, big data analytics, Internet of Things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing, and signal processing and communication.

Artificial Intelligence and Sustainable Computing

Author : Manjaree Pandit
Publisher : Springer Nature
ISBN 13 : 9819703271
Total Pages : 714 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Artificial Intelligence and Sustainable Computing by : Manjaree Pandit

Download or read book Artificial Intelligence and Sustainable Computing written by Manjaree Pandit and published by Springer Nature. This book was released on with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Computing Applications for Sustainable Real-World Systems

Author : Manjaree Pandit
Publisher : Springer Nature
ISBN 13 : 3030447588
Total Pages : 584 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Intelligent Computing Applications for Sustainable Real-World Systems by : Manjaree Pandit

Download or read book Intelligent Computing Applications for Sustainable Real-World Systems written by Manjaree Pandit and published by Springer Nature. This book was released on 2020-04-03 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into various solution paradigms such as artificial neural network, support vector machine, wavelet transforms, evolutionary computing, swarm intelligence. During the last decade, novel solution technologies based on human and species intelligence have gained immense popularity due to their flexible and unconventional approach. New analytical tools are also being developed to handle big data processing and smart decision making. The idea behind compiling this work is to familiarize researchers, academicians, industry persons and students with various applications of intelligent techniques for producing sustainable, cost-effective and robust solutions of frequently encountered complex, real-world problems in engineering and science disciplines. The practical problems in smart grids, communication, waste management, elimination of harmful elements from nature, etc., are identified, and smart and optimal solutions are proposed.

Artificial Intelligence and Sustainable Computing for Smart City

Author : Arun Solanki
Publisher : Springer Nature
ISBN 13 : 3030823229
Total Pages : 301 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence and Sustainable Computing for Smart City by : Arun Solanki

Download or read book Artificial Intelligence and Sustainable Computing for Smart City written by Arun Solanki and published by Springer Nature. This book was released on 2021-07-28 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Intelligent Computing and Optimization for Sustainable Development

Author : Mukhdeep Singh Manshahia
Publisher : John Wiley & Sons
ISBN 13 : 1119792622
Total Pages : 944 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Handbook of Intelligent Computing and Optimization for Sustainable Development by : Mukhdeep Singh Manshahia

Download or read book Handbook of Intelligent Computing and Optimization for Sustainable Development written by Mukhdeep Singh Manshahia and published by John Wiley & Sons. This book was released on 2022-02-11 with total page 944 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence for Sustainable Finance and Sustainable Technology

Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher : Springer Nature
ISBN 13 : 3030934640
Total Pages : 637 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Artificial Intelligence for Sustainable Finance and Sustainable Technology by : Abdalmuttaleb M. A. Musleh Al-Sartawi

Download or read book Artificial Intelligence for Sustainable Finance and Sustainable Technology written by Abdalmuttaleb M. A. Musleh Al-Sartawi and published by Springer Nature. This book was released on 2022-01-01 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows latest research on artificial intelligence for sustainable technology. ICGER 2021 was organized by the Accounting, Finance and Banking Department at Ahlia University, Bahrain, and was conducted on the 15th and 16th of September. The strategic partners included the University of Jordan, the Bahrain Economists Society, the Association of Chartered Certified Accountants: ACCA, Al-Barka Banking Group and the International Computer Auditing Education Association: ICAEA . The theme of the ICGER 2021 centered around artificial intelligence for sustainable finance and sustainable technology. Accordingly, the papers presented at the conference provided a holistic view of sustainable finance, sustainability, AI, financial technology, cybersecurity, blockchain, CSR, and governance. This book, unlike ever before, brings together intelligence applications of new technologies and the sustainability requirements in the era of the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI applications and financial technologies to develop future strategies and to achieve sustainable development goals.

Cognitive Computing for Human-Robot Interaction

Author : Mamta Mittal
Publisher : Academic Press
ISBN 13 : 0323856470
Total Pages : 420 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Cognitive Computing for Human-Robot Interaction by : Mamta Mittal

Download or read book Cognitive Computing for Human-Robot Interaction written by Mamta Mittal and published by Academic Press. This book was released on 2021-08-13 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: - Introduces several new contributions to the representation and management of humans in autonomous robotic systems; - Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; - Engages with the potential repercussions of cognitive computing and HRI in the real world. - Introduces several new contributions to the representation and management of humans in an autonomous robotic system - Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society - Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Author : Krishna Kumar
Publisher : Academic Press
ISBN 13 : 0323914284
Total Pages : 418 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies by : Krishna Kumar

Download or read book Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies written by Krishna Kumar and published by Academic Press. This book was released on 2022-03-18 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. - Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment - Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum - Addresses the advanced field of renewable generation, from research, impact and idea development of new applications

Sustainability

Author : Rao Y. Surampalli
Publisher : John Wiley & Sons
ISBN 13 : 1119433894
Total Pages : 694 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Sustainability by : Rao Y. Surampalli

Download or read book Sustainability written by Rao Y. Surampalli and published by John Wiley & Sons. This book was released on 2020-03-19 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive resource to sustainability and its application to the environmental, industrial, agricultural and food security sectors Sustainability fills a gap in the literature in order to provide an important guide to the fundamental knowledge and practical applications of sustainability in a wide variety of areas. The authors – noted experts who represent a number of sustainability fields – bring together in one comprehensive volume the broad range of topics including basic concepts, impact assessment, environmental and the socio-economic aspects of sustainability. In addition, the book covers applications of sustainability in environmental, industrial, agricultural and food security, as well as carbon cycle and infrastructural aspects. Sustainability addresses the challenges the global community is facing due to population growth, depletion of non-renewable resources of energy, environmental degradation, poverty, excessive generation of wastes and more. Throughout the book the authors discuss the economics, ecological, social, technological and systems perspectives of sustainability. This important resource: Explores the fundamentals as well as the key concepts of sustainability; Covers basic concepts, impact assessment, environmental and socio-economic aspects, applications of sustainability in environmental, industrial, agricultural and food security, carbon cycle and infrastructural aspects; Argues the essentiality of sustainability in ensuring the propitious future of earth systems; and Authored by experts from a range of various fields related to sustainability. Written for researchers and scientists, students and academics, Sustainability: Fundamentals and Applications is a comprehensive book that covers the basic knowledge of the topic combined with practical applications.

Trends in Sustainable Computing and Machine Intelligence

Author : Surekha Lanka
Publisher : Springer Nature
ISBN 13 : 9819994365
Total Pages : 493 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Trends in Sustainable Computing and Machine Intelligence by : Surekha Lanka

Download or read book Trends in Sustainable Computing and Machine Intelligence written by Surekha Lanka and published by Springer Nature. This book was released on with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Author : Uttam Ghosh
Publisher : Springer Nature
ISBN 13 : 3030720659
Total Pages : 411 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Machine Intelligence and Data Analytics for Sustainable Future Smart Cities by : Uttam Ghosh

Download or read book Machine Intelligence and Data Analytics for Sustainable Future Smart Cities written by Uttam Ghosh and published by Springer Nature. This book was released on 2021-05-31 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

Towards Sustainable Artificial Intelligence

Author : Ghislain Landry Tsafack Chetsa
Publisher : Apress
ISBN 13 : 9781484272138
Total Pages : 140 pages
Book Rating : 4.2/5 (721 download)

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Book Synopsis Towards Sustainable Artificial Intelligence by : Ghislain Landry Tsafack Chetsa

Download or read book Towards Sustainable Artificial Intelligence written by Ghislain Landry Tsafack Chetsa and published by Apress. This book was released on 2021-08-14 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: So far, little effort has been devoted to developing practical approaches on how to develop and deploy AI systems that meet certain standards and principles. This is despite the importance of principles such as privacy, fairness, and social equality taking centre stage in discussions around AI. However, for an organization, failing to meet those standards can give rise to significant lost opportunities. It may further lead to an organization’s demise, as the example of Cambridge Analytica demonstrates. It is, however, possible to pursue a practical approach for the design, development, and deployment of sustainable AI systems that incorporates both business and human values and principles. This book discusses the concept of sustainability in the context of artificial intelligence. In order to help businesses achieve this objective, the author introduces the sustainable artificial intelligence framework (SAIF), designed as a reference guide in the development and deployment of AI systems. The SAIF developed in the book is designed to help decision makers such as policy makers, boards, C-suites, managers, and data scientists create AI systems that meet ethical principles. By focusing on four pillars related to the socio-economic and political impact of AI, the SAIF creates an environment through which an organization learns to understand its risk and exposure to any undesired consequences of AI, and the impact of AI on its ability to create value in the short, medium, and long term. What You Will Learn See the relevance of ethics to the practice of data science and AI Examine the elements that enable AI within an organization Discover the challenges of developing AI systems that meet certain human or specific standards Explore the challenges of AI governance Absorb the key factors to consider when evaluating AI systems Who This Book Is For Decision makers such as government officials, members of the C-suite and other business managers, and data scientists as well as any technology expert aspiring to a data-related leadership role.

Artificial Intelligence and the Environmental Crisis

Author : Keith Ronald Skene
Publisher : Routledge
ISBN 13 : 042961909X
Total Pages : 278 pages
Book Rating : 4.4/5 (296 download)

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Book Synopsis Artificial Intelligence and the Environmental Crisis by : Keith Ronald Skene

Download or read book Artificial Intelligence and the Environmental Crisis written by Keith Ronald Skene and published by Routledge. This book was released on 2019-12-19 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: A radical and challenging book which argues that artificial intelligence needs a completely different set of foundations, based on ecological intelligence rather than human intelligence, if it is to deliver on the promise of a better world. This can usher in the greatest transformation in human history, an age of re-integration. Our very existence is dependent upon our context within the Earth System, and so, surely, artificial intelligence must also be grounded within this context, embracing emergence, interconnectedness and real-time feedback. We discover many positive outcomes across the societal, economic and environmental arenas and discuss how this transformation can be delivered. Key Features: Identifies a key weakness in current AI thinking, that threatens any hope of a better world. Highlights the importance of realizing that systems theory is an essential foundation for any technology that hopes to positively transform our world. Emphasizes the need for a radical new approach to AI, based on ecological systems. Explains why ecosystem intelligence, not human intelligence, offers the best framework for AI. Examines how this new approach will impact on the three arenas of society, environment and economics, ushering in a new age of re-integration.

AI in Manufacturing and Green Technology

Author : Sambit Kumar Mishra
Publisher : CRC Press
ISBN 13 : 1000171892
Total Pages : 168 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis AI in Manufacturing and Green Technology by : Sambit Kumar Mishra

Download or read book AI in Manufacturing and Green Technology written by Sambit Kumar Mishra and published by CRC Press. This book was released on 2020-10-20 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions. It visualizes the potential of artificial intelligence, enhanced by business activities and strategies for rapid implementation, in manufacturing and green technology. This book covers utilization of renewable resources and implementation of the latest energy-generation technologies. It discusses how to save natural resources from depletion and illustrates facilitation of green technology in industry through usage of advanced materials. The book also covers environmental sustainability and current trends in manufacturing. The book provides the basic concepts of green technology, along with the technology aspects, for researchers, faculty, and students.

Computational Intelligence Methods for Green Technology and Sustainable Development

Author : Yo-Ping Huang
Publisher : Springer Nature
ISBN 13 : 3030623246
Total Pages : 655 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Computational Intelligence Methods for Green Technology and Sustainable Development by : Yo-Ping Huang

Download or read book Computational Intelligence Methods for Green Technology and Sustainable Development written by Yo-Ping Huang and published by Springer Nature. This book was released on 2020-10-27 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a selected collection of 54 peer-reviewed original scientific research papers of the 5th International Conference on Green Technology and Sustainable Development (GTSD2020) organised in Vietnam in 2020. It highlights the importance of sustainability as well as promotes up-to-date innovation and research for green development in technologies, economics and education among countries. The conference provides an international platform for researchers, practitioners, policymakers and entrepreneurs to present their advances, knowledge and experience on various interdisciplinary topics related to the theme of “Green technology and sustainable development in industrial revolution 4.0”. The book is a valuable resource for researchers, analysts, engineers, practitioners and policymakers who are interested in the latest findings in artificial intelligence, cyber systems, robotics, green energy and power systems, mechanical and computational mechanic models and advanced civil engineering. This book has 05 sessions consisting of both theoretical and practical aspects, and numerical and experimental analyses in various engineering disciplines.

Green Internet of Things and Machine Learning

Author : Roshani Raut
Publisher : John Wiley & Sons
ISBN 13 : 1119793122
Total Pages : 279 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Green Internet of Things and Machine Learning by : Roshani Raut

Download or read book Green Internet of Things and Machine Learning written by Roshani Raut and published by John Wiley & Sons. This book was released on 2022-01-10 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.