Artificial Intelligence for Sustainable Applications (eBook)
John Wiley & Sons (Verlag)
978-1-394-17524-6 (ISBN)
The objective of this book is to leverage the significance of artificial intelligence in achieving sustainable solutions using interdisciplinary research through innovative ideas.
With the advent of recent technologies, the demand for Information and Communication Technology (ICT)-based applications such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), health care, data analytics, augmented reality/virtual reality, cyber-physical systems, and future generation networks, has increased drastically. In recent years, artificial intelligence has played a more significant role in everyday activities. While AI creates opportunities, it also presents greater challenges in the sustainable development of engineering applications. Therefore, the association between AI and sustainable applications is an essential field of research. Moreover, the applications of sustainable products have come a long way in the past few decades, driven by social and environmental awareness, and abundant modernization in the pertinent field. New research efforts are inevitable in the ongoing design of sustainable applications, which makes the study of communication between them a promising field to explore.
This book highlights the recent advances in AI and its allied technologies with a special focus on sustainable applications. It covers theoretical background, a hands-on approach, and real-time use cases with experimental and analytical results.
Audience
AI researchers as well as engineers in information technology and computer science.
K. Umamaheswari, PhD, is a professor and head with 27 years of experience in the Department of Information Technology at PSG College of Technology, Coimbatore, India.
B. Vinoth Kumar, PhD, is an associate professor with 19 years of experience in the Department of Information Technology at PSG College of Technology, Coimbatore, India.
S. K. Somasundaram, PhD, is an assistant professor in the Department of Information Technology, PSG College of Technology, Coimbatore, India.
ARTIFICAL INTELLIGENCE for SUSTAINABLE APPLICATIONS The objective of this book is to leverage the significance of artificial intelligence in achieving sustainable solutions using interdisciplinary research through innovative ideas. With the advent of recent technologies, the demand for Information and Communication Technology (ICT)-based applications such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), health care, data analytics, augmented reality/virtual reality, cyber-physical systems, and future generation networks, has increased drastically. In recent years, artificial intelligence has played a more significant role in everyday activities. While AI creates opportunities, it also presents greater challenges in the sustainable development of engineering applications. Therefore, the association between AI and sustainable applications is an essential field of research. Moreover, the applications of sustainable products have come a long way in the past few decades, driven by social and environmental awareness, and abundant modernization in the pertinent field. New research efforts are inevitable in the ongoing design of sustainable applications, which makes the study of communication between them a promising field to explore. This book highlights the recent advances in AI and its allied technologies with a special focus on sustainable applications. It covers theoretical background, a hands-on approach, and real-time use cases with experimental and analytical results. Audience AI researchers as well as engineers in information technology and computer science.
Erscheint lt. Verlag | 11.8.2023 |
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Reihe/Serie | Artificial Intelligence and Soft Computing for Industrial Transformation |
Artificial Intelligence and Soft Computing for Industrial Transformation | |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Schlagworte | AI • Artificial Intelligence • Artificial Neural Networks • bio-inspired algorithms • cognitive computing • Computer Science • Deep learning • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • evolutionary algorithms • Expert Systems • Fuzzy Systems • Informatik • Intelligente Systeme u. Agenten • Intelligent Systems & Agents • KI • Künstliche Intelligenz • machine learning • Meta-heuristics algorithms • Nachhaltigkeit • Natural Language Processing • probabilistic theory • Swarm intelligence |
ISBN-10 | 1-394-17524-8 / 1394175248 |
ISBN-13 | 978-1-394-17524-6 / 9781394175246 |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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