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Inhaltsangabe
In this ever-changing world, the rapid evolution of cloud computing and AI has paved the way for advancements in cloud-based intelligent engineering. This emerging field integrates cloud computing, big data, and AI to enhance the efficiency and automation of engineering processes. By leveraging cloud-based intelligent systems, industries can optimize data management, improve real-time collaboration, and drive innovation across various engineering domains. Advancements in Cloud-Based Intelligent Informative Engineering explores technological advancements and devices in cloud technology. It examines cloud-based intelligent system approaches and developments in informative engineering. This book covers topics such as IoT, machine learning, and blockchain, and is a useful resource for researchers, engineers, business owners, academicians, and scientists.
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Über die Autorinnen und Autoren
Kaushal Kishor is now the Head of Department MCA/BCA and Professor of CSE (DS) and IT at the ABES Institute of Technology in Ghaziabad. He was named one of Stanford University's top 2% influential scientists in 2023, and he received an Appreciation Certificate from the Ministry of Education, Government of India, for his extraordinary contributions as a college SPOC at the Smart India Hackathon in 2023 and 2024. He was awarded an Appreciation Certificate by Assistant Innovation Director MoE's Innovation Cell, Government of India for Convener IIC Institution's Innovation Council (IIC) for his ongoing support and contribution to the development of the innovation and entrepreneurship culture during the academic year 2023-24. He has managed more than 60 projects for graduate and postgraduate students. He has about 21 years of teaching experience. He is the author of 10 publications covering various technical areas. He has written many articles for SCI/Scopus/peer-reviewed/international/national journals and conferences. His research interests include artificial intelligence, data science, computer networks, algorithms, compiler design, wireless, and sensor networking. .
Seifedine Kadry Professor of Data Science - ABET CAC Commissioner - ForeignExpert Agency for Quality of Higher Education of North Macedonia,Georgia, Kosovo, and CTI France. Kristiansand, Agder, Norway Summary Dr. Seifedine Kadry received in 2007 the Ph.D. degree in Applied Mathematics from the Université Blaise Pascal (Clermont-II) -Clermont-Ferrand in France. Currently, he is an Professor of Data Science with Beirut Arab University in Lebanon. His research focuses are Data Science, AI applications, system prognostics, stochastic systems, and probability and reliability analysis. In addition, he serves as Editor-in-Chief of the International Journal of Quality Control and Standards in Science and Engineering. He had an EEE Senior Member, and IET Fellow.
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Hardcover. Zustand: new. Hardcover. In this ever-changing world, the rapid evolution of cloud computing and AI has paved the way for advancements in cloud-based intelligent engineering. This emerging field integrates cloud computing, big data, and AI to enhance the efficiency and automation of engineering processes. By leveraging cloud-based intelligent systems, industries can optimize data management, improve real-time collaboration, and drive innovation across various engineering domains. Advancements in Cloud-Based Intelligent Informative Engineering explores technological advancements and devices in cloud technology. It examines cloud-based intelligent system approaches and developments in informative engineering. This book covers topics such as IoT, machine learning, and blockchain, and is a useful resource for researchers, engineers, business owners, academicians, and scientists. "This book addresses the major challenges of digitalization in the growth of cloud-based intelligent information engineering, including subjects such as deep learning, machine learning, and the Internet of Things"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798337307817
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