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This book discusses the architecture, design and implementation of
critical components of Sustainable Smart Cities to support
governance, transportation, energy, healthcare, factories,
technologies, securities, agriculture and education. The authors
discuss the background of sustainable smart cities architectures
and technologies and describe the problems that arise in design and
implementation. Â In particular, this book discusses a
proposed, 6G-based framework and architecture of IoT based
sustainable smart cities. The authors describe the use of
artificial intelligence in many zones of cities to increase the
system's performance and efficiency. With the detailed discussion
of energy management in smart cities, they have also presented how
Internet of Vehicles (IoV) uses wireless communication and sensing
technology to establish a network of information exchange between
vehicles, infrastructure, and the environment. The discussion also
includes Internet of Medical Things (IoMT) as well as Unmanned
Aerial Vehicles (UAVs) for IoT based sustainable smart cities. This
book explores societal, economic, and practical reforms that would
promote smart cities, based on a variety of case studies. Â
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Machine Learning and Big Data Analytics - 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 (Hardcover, 1st ed. 2023)
Rajiv Misra, Rana Omer, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Nishtha Kesswani, …
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R5,368
Discovery Miles 53 680
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Ships in 10 - 15 working days
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This edited volume on machine learning and big data analytics
(Proceedings of ICMLBDA 2022) is intended to be used as a reference
book for researchers and professionals to share their research and
reports of new technologies and applications in Machine Learning
and Big Data Analytics like biometric Recognition Systems, medical
diagnosis, industries, telecommunications, AI Petri Nets
Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace
Systems, robot control, law, remote sensing and scientific
discovery agents and multiagent systems; and natural language and
Web intelligence. The intent of this book is to provide awareness
of algorithms used for machine learning and big data in the
advanced Scientific Technologies, provide a correlation of
multidisciplinary areas and become a point of great interest for
Data Scientists, systems architects, developers, new researchers
and graduate level students. This volume provides
cutting-edge research from around the globe on this field. Current
status, trends, future directions, opportunities, etc. are
discussed, making it friendly for beginners and young researchers.
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