Description
To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities.
Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research on the application of the integration of interconnected technologies and big data analytics into the creation of smart cities. While highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration in urban environments as well as the methods of planning cities to implement these new technologies. This book is ideally designed for engineers, professionals, researchers, and technology developers seeking current research on technology implementation in urban settings.
Author's/Editor's Biography
Nilanjan Dey (Ed.)
Nilanjan Dey, PhD., is an Asst. Professor in the Department of Computer Science and Engineering in Techno India College of Technology, Rajarhat, Kolkata, India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization Of- Scientific And Engineering Unions, BULGARIA, Associate Researcher of Laboratoire RIADI, University of Manouba, TUNISIA. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence; the International Journal of Rough Sets and Data Analysis (IGI Global, USA); Series Editor of Advances in Geospatial Technologies (AGT) Book Series (IGI Global, USA); the Executive Editor of the International Journal of Image Mining (IJIM) (Inderscience); Regional Editor-Asia of the International Journal of Intelligent Engineering Informatics (IJIEI) (Inderscience); and the Associated Editor of the International Journal of Service Science, Management, Engineering, and Technology (IGI Global, USA). He has 15 books and 250 international conferences and journal papers.
Sharvari Tamane (Ed.)
Sharvari Tamane, Ph.D, is working as the Head of Department of Information Technology in MGMs Jawaharlal Nehru Engineering College, Aurangabad, Maharashtra, India. She has 21 years of teaching experience in Jawaharlal Nehru Engineering College, Aurangabad. She is the active member of “Board of Studies” for “Computer Science & Engineering’ for Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. Her research interests include: Big Data Analytics, Watermarking, Neural Network, Fuzzy Logic, Wavelet analysis, etc. She is working as an Editorial Board Member of the International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242. Dr. Tamane edited a book on “Privacy and Security Policies in Big Data” with IGI Global. She is author of a book, “Data Structures Using C” and published more than 40 research papers in international conferences and journals. She has also worked as a Reviewer for many SCIE, Scopus indexed journals. She has been invited as a panelist for the International Conference at Mauritius in the panel discussion Towards “Sustainable Development Goals in India”. She has also been invited to many institutes to deliver expert talks on various research areas.