International Conference on Artificial Intelligence and Sustainable Engineering
International Conference on Artificial Intelligence and Sustainable Engineering

Author: Goutam Sanyal

Publisher: Springer Nature

Published: 2022-05-03

Total Pages: 555

ISBN-13: 9811685428

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This book comprises select papers from the International Conference on Artificial Intelligence and Sustainable Engineering (AISE 2020). The volume focuses on the recent advancements in artificial intelligence and addresses how it is useful in achieving truly sustainable solutions. The key strands of this book include artificial intelligence in healthcare, IoT for modern life, security and surveillance, big data analytics, machine learning and computing, communication technologies, gesture technology, virtual intelligence, and audio & speech processing. The book addresses sustainability challenges in various computing techniques and opportunities for sustainable engineering based on AI and supporting tools such as engineering design for sustainable development using IoT/AI, smart cities: waste minimization, remanufacturing, reuse and recycling technologies using IoT/AI, industry 4.0, intelligent and smart grid systems, energy conservation using technology, green engineering/technology, robotic process automation (RPA) and water and air quality management. This book can be a valuable resource for academicians, researchers, and professionals working in AI and its applications.

Recent Trends in Sustainable Engineering
Recent Trends in Sustainable Engineering

Author: Karen Lizbeth Flores Rodríguez

Publisher: Springer Nature

Published: 2021-11-03

Total Pages: 227

ISBN-13: 3030820645

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The book is a multidisciplinary space and serves as a platform to share and learn about the frontier knowledge between different areas related to “Recent trends in sustainable engineering.” Sustainable engineering promotes the responsible use of resources and materials involved in the different manufacturing processes or the execution stages of a service. An interdisciplinary approach is required in all aspects of engineering. In this sense, engineers, researchers, and the academic community will play a fundamental role in developing new technologies that respect the environment, still, at the same time, that considers social and economic factors.

International Conference on Artificial Intelligence and Sustainable Engineering
International Conference on Artificial Intelligence and Sustainable Engineering

Author: Goutam Sanyal

Publisher: Springer Nature

Published: 2022-04-07

Total Pages: 498

ISBN-13: 9811685460

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This book comprises select papers from the International Conference on Artificial Intelligence and Sustainable Engineering (AISE 2020). The volume focuses on the recent advancements in artificial intelligence and addresses how it is useful in achieving truly sustainable solutions. The key strands of this book include artificial intelligence in healthcare, IoT for modern life, security and surveillance, big data analytics, machine learning and computing, communication technologies, gesture technology, virtual intelligence, and audio & speech processing. The book addresses sustainability challenges in various computing techniques and opportunities for sustainable engineering based on AI and supporting tools such as engineering design for sustainable development using IoT/AI, smart cities: waste minimization, remanufacturing, reuse and recycling technologies using IoT/AI, industry 4.0, intelligent and smart grid systems, energy conservation using technology, green engineering/technology, robotic process automation (RPA) and water and air quality management. This book can be a valuable resource for academicians, researchers, and professionals working in AI and its applications.

Proceedings of the 2nd International Conference on Green Energy, Environment and Sustainable Development (GEESD2021)
Proceedings of the 2nd International Conference on Green Energy, Environment and Sustainable Development (GEESD2021)

Author: Dan Dobrota

Publisher:

Published: 2021-12-21

Total Pages: 762

ISBN-13: 9781643682228

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The need for green technologies and solutions which will deliver the energy requirements of both the developed and developing world to support sustainability and protect the environment worldwide has never been more urgent.This book contains the proceedings of the 2nd International Conference on Green Energy, Environment and Sustainable Development (GEESD2021) which, due to the COVID-19 pandemic around the world and with the strict travel restrictions in China, was held as a hybrid conference (both physically and online via Zoom) in Shanghai, China on 26 and 27 June 2021. It provided an opportunity to bring together an international community of leading scientists, researchers, engineers and academics, as well as industrial professionals, to exchange and share their experiences and research results in the energy, environment and sustainable development sector. In total, 80 participants were able to exchange knowledge and discuss the latest developments in the field. GEESD2021 attracted more than 250 submissions, 88 of which were accepted after an extensive period of peer review by more than 100 reviewers and members of the program committee. These are included here, grouped into 3 sections, with 28 papers on sustainable energy; 34 on ecology; and 26 papers covering environmental pollution and protection.Offering an overview of the most up-to-date findings and technologies in the field of sustainable energy and environmental protection, the book will be of interest to all those working in this field.

Artificial Intelligence for Sustainable Finance and Sustainable Technology
Artificial Intelligence for Sustainable Finance and Sustainable Technology

Author: Abdalmuttaleb M. A. Musleh Al-Sartawi

Publisher: Springer Nature

Published: 2022-01-01

Total Pages: 637

ISBN-13: 3030934640

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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.

Artificial Intelligence and Machine Learning for Sustainable Development
Artificial Intelligence and Machine Learning for Sustainable Development

Author: Pawan Whig

Publisher: CRC Press

Published: 2024-12-18

Total Pages: 287

ISBN-13: 1040228771

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Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.

Artificial Intelligence for Intelligent Systems
Artificial Intelligence for Intelligent Systems

Author: Inam Ullah Khan

Publisher: CRC Press

Published: 2024-07-31

Total Pages: 375

ISBN-13: 1040086969

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The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent and computing systems. Intelligent computing easily collects data using smart technological applications like IoT-based wireless networks, digital healthcare, transportation, blockchain, 5.0 industry and deep learning for better decision making. AI enabled networks will be integrated in smart cities' concept for interconnectivity. Wireless networks will play an important role. The digital era of computational intelligence will change the dynamics and lifestyle of human beings. Future networks will be introduced with the help of AI technology to implement cognition in real-world applications. Cyber threats are dangerous to encode information from network. Therefore, AI-Intrusion detection systems need to be designed for identification of unwanted data traffic. This book: Provides a better understanding of artificial intelligence-based applications for future smart cities Presents a detailed understanding of artificial intelligence tools for intelligent technologies Showcases intelligent computing technologies in obtaining optimal solutions using artificial intelligence Discusses energy-efficient routing protocols using artificial intelligence for Flying ad-hoc networks (FANETs) Covers machine learning-based Intrusion detection system (IDS) for smart grid It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

Proceedings of International Joint Conference on Advances in Computational Intelligence
Proceedings of International Joint Conference on Advances in Computational Intelligence

Author: Mohammad Shorif Uddin

Publisher: Springer Nature

Published: 2023-06-15

Total Pages: 729

ISBN-13: 9819914353

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This book gathers outstanding research papers presented at the 6th International Joint Conference on Advances in Computational Intelligence (IJCACI 2022), held in hybrid mode during October 15 – 16, 2022. IJCACI 2022 is jointly organized by Jahangirnagar University (JU), Bangladesh and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.

Blockchain and Digital Twin Enabled IoT Networks
Blockchain and Digital Twin Enabled IoT Networks

Author: Randhir Kumar

Publisher: CRC Press

Published: 2024-07-19

Total Pages: 235

ISBN-13: 1040092489

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This book reviews research works in recent trends in blockchain, AI, and Digital Twin based IoT data analytics approaches for providing the privacy and security solutions for Fog-enabled IoT networks. Due to the large number of deployments of IoT devices, an IoT is the main source of data and a very high volume of sensing data is generated by IoT systems such as smart cities and smart grid applications. To provide a fast and efficient data analytics solution for Fog-enabled IoT systems is a fundamental research issue. For the deployment of the Fog-enabled-IoT system in different applications such as healthcare systems, smart cities and smart grid systems, security, and privacy of big IoT data and IoT networks are key issues. The current centralized IoT architecture is heavily restricted with various challenges such as single points of failure, data privacy, security, robustness, etc. This book emphasizes and facilitates a greater understanding of various security and privacy approaches using the advances in Digital Twin and Blockchain for data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.