The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths.
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Prof. Brij B. Gupta received the PhD degree from Indian Institute of Technology (IIT) Roorkee, India. In more than 16 years of his professional experience, he published over 400 papers in journals/conferences including 30 books and 08 Patents with over 14000 citations. He has received numerous national and international awards including Canadian Commonwealth Scholarship (2009), Faculty Research Fellowship Award (2017), from the Govt. of Canada, MeitY, GoI, IEEE GCCE outstanding and WIE paper awards and Best Faculty Award (2018 & 2019), NIT Kurukshetra, respectively. Prof Gupta is also serving as Distinguished Research Scientist with LoginRadius Inc., USA which is one of leading cybersecurity companies in the world, especially in the field of customer identity and access management (CIAM). He is also selected in the 2021 and 2020 Stanford University's ranking of the world's top 2% scientists. He is also a visiting/adjunct professor with several universities worldwide. He is also an IEEE Senior Member (2017) and also selected as 2021 Distinguished Lecturer in IEEE CTSoc. Dr Gupta is also serving as Member-in-Large, Board of Governors, IEEE Consumer Technology Society (2022-204). Prof. Gupta is also leading IJSWIS, IJSSCI and IJCAC, IGI Global, as Editor-in-Chief. Moreover, he is also serving as lead-editor of a Book Series with CRC, World Scientific and IET press. He also served as TPC members and organized/special session chairs in ICCE-2021, GCCE 2014-2021 and TPC Chair in 2018 INFOCOM: CCSNA Workshop and Publicity Co-chair in 2020 ICCCN. Dr Gupta is also serving/served as Associate/Guest Editor of IEEE TII, IEEE TITS, IoT, IEEE Big Data, ASOC, FGCS, etc. At present, Prof. Gupta is working as Director, International Centre for AI and Cyber Security Research, Incubation and Innovations, and Full Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, Taiwan. His research interests include information security, cyber physical systems, cloud computing, blockchain technologies, intrusion detection, AI, social media and networking. https: //csie.asia.edu.tw/en/brief/associate_professors_2/Brij-Bhooshan-Gupta-57465778 https: //aicybersecuritycenter.com/index.php/director/
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Hardback. Zustand: New. The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. This handbook bridges the gap by presenting a comprehensive understanding of this fusion and its implications for the field. This book delves into the world of intelligent machines, revealing how they interact autonomously with their environment and adapt seamlessly to new situations. By harnessing the power of AI and ML, these smart devices can accomplish complex tasks such as traffic monitoring, speech recognition, face recognition, and automatic manufacturing, significantly enhancing operational efficiency. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths. Bestandsnummer des Verkäufers LU-9781668499993
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Hardback. Zustand: New. The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. This handbook bridges the gap by presenting a comprehensive understanding of this fusion and its implications for the field. This book delves into the world of intelligent machines, revealing how they interact autonomously with their environment and adapt seamlessly to new situations. By harnessing the power of AI and ML, these smart devices can accomplish complex tasks such as traffic monitoring, speech recognition, face recognition, and automatic manufacturing, significantly enhancing operational efficiency. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths. Bestandsnummer des Verkäufers LU-9781668499993
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