IoT and Big Data Analytics for Smart Cities (ePub)
The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities - A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book...
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The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities - A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities.
Features:
- Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application
- Challenges and Roles of IoT and Big Data in Smart City applications
- Provides Big Data-IoT intelligent smart systems in a global perspective
- Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays
- Gives various solutions and ideas for smart traffic development in smart cities
- Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications
This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.
Dr. Sathiyaraj Rajendran is an assistant professor in the School of Engineering &
Technology at the CMR University, Bangalore. He completed his PhD at Anna University,
Chennai. His research interests lie in the area of Big Data Analytics, AI, and IoT. He has
collaborated actively with researchers in several other disciplines of computer science,
particularly traffic prediction systems and intelligent systems. He has authored more
than 25 publications and filed 5 patents.
Dr. Munish Sabharwal is professor and dean, School of Computing Science & Engineering,
Galgotias University, Greater Noida (UP), India. He is also an adjunct professor, Faculty
of Applied Mathematics and IT-Samarkand State University, Samarkand, Uzbekistan.
He earned a PhD (Computer Science S) and PhD (Management) and also has a PGDM
(International Trade) from Symbiosis Institute of Management Studies, Pune; an
M.Tech (Computer Science) from IASE University, Sardarshahr; and a B.E. (Computer
Technology) from Nagpur University, Nagpur. He is also MCSD and MCP Certified.
He has contributed over 21 years to teaching (CS and MIS), education management in
leadership roles, research, as well as software development. He has more than ten years
of research experience, has published more than 55+ research papers in conferences and
journals indexed in SCI, ESCI, Scopus, etc. He is a board member as well as reviewer for
a number of leading indexed research journals and has three books to his credit. He is
guiding seven PhD Scholars and his current research interests include Data Sciences (AI
& ML), Biometrics and E-Banking.
Dr. Gheorghita Ghinea is a professor of computing, Department of Computer Science
Brunel University London. He holds a PhD in Computer Science from the University
of Reading, United Kingdom. His research activities lie at the confluence of Computer
Science, Media and Psychology and he is particularly interested in building semantically
underpinned human-centred e-systems, particularly integrating human perceptual
requirements. Currently, he is supervising a team of six PhD students. He has supervised
a total of 23 PhD students to completion (as first supervisor), who have gone on to enjoy
rewarding careers in academia or industry. He has published more than 30 articles and
received 10+ research grants.
Dr. Rajesh Kumar Dhanaraj is an associate professor in the School of Computing Science
and Engineering at Galgotias University, Greater Noida, India. He earned a PhD in
Information and Communication Engineering from the Anna University Chennai,
India. He has contributed 20+ books on various technologies and 35+ articles and
papers in various refereed journals and international conferences and contributed
chapters to the books. His research interests include Machine Learning, Cyber-Physical
Systems and Wireless Sensor Networks. He is an Expert Advisory Panel Member of
Texas Instruments Inc., USA.
Dr. Balamurugan Balusamy earned a PhD in Computer Science and Engineering from
Vellore Institute of Technology (VIT) Vellore, Tamil Nadu. He also completed an ME in
Computer Science and Engineering and a BE in Computer Science and Engineering from
Anna University and Bharathidasan University respectively. Previously he was associated
with Galgotias University, Delhi NCR, in multiple capacities, holding roles such as
Director of International Affairs, Professor, and Associate Dean of Research, School of
Computing Science and Engineering. He served up to the position of associate professor
during his 12-year stint with VIT (Vellore) from 2005 to 2017. During this period, he
spearheaded and coordinated many student club activities and technical and cultural
fests for VIT. Currently, he is appointed to the advisory committee for several technology
start-ups and forums.
Dr. Balusamy promotes student engagement in co-curricular and research activities and
is keen to provide them an ecosystem for redefining their career goals. He designs and
implements activities for developing and overseeing programs that enable students
to realize their social and personal potential and integrate student life experiences at
Shiv Nadar University, Delhi NCR. In his current role at the University, he acts as a
liaison between the Office of Dean Academics and the Office of Students. He mentors
students with the twin aims of fulfilling their ambitions and helping them realize their
full potential.
- 2022, 1. Auflage, 214 Seiten, Englisch
- Herausgegeben: Sathiyaraj Rajendran, Munish Sabharwal, Gheorghita Ghinea, Rajesh Kumar Dhanaraj, Balamurugan Balusamy
- Verlag: Taylor & Francis
- ISBN-10: 1000789896
- ISBN-13: 9781000789898
- Erscheinungsdatum: 01.12.2022
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Grösse: 16 MB
- Ohne Kopierschutz
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