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Emerging Technologies for Smart Cities : Select Proceedings of EGTET 2020 / edited by Prabin K. Bora, Sukumar Nandi, Shakuntala Laskar.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in electrical engineering 1876-1119 ; 765
- Lecture Notes in Electrical Engineering, 1876-1119 ; 765
- Language:
- English
- Subjects (All):
- Cooperating objects (Computer systems).
- Sustainable architecture.
- Sociology, Urban.
- Refuse and refuse disposal.
- Energy harvesting.
- Cyber-Physical Systems.
- Sustainable Architecture/Green Buildings.
- Urban Sociology.
- Waste Management/Waste Technology.
- Energy Harvesting.
- Local Subjects:
- Cyber-Physical Systems.
- Sustainable Architecture/Green Buildings.
- Urban Sociology.
- Waste Management/Waste Technology.
- Energy Harvesting.
- Physical Description:
- 1 online resource (X, 209 pages) : 94 illustrations, 77 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- This book comprises the select proceedings of the International Conference on Emerging Global Trends in Engineering and Technology (EGTET 2020), held in Guwahati, India. The chapters in this book focus on the latest cleaner, greener, and efficient technologies being developed for the implementation of smart cities across the world. The broader topical sections include Smart Buildings, Infrastructures and Disaster Management; Smart Governance; Technologies for Smart Cities, and Wireless Connectivity for Smart Cities. This book will cater to students, researchers, industry professionals, and policy making bodies interested and involved in the planning and implementation of smart city projects.
- Contents:
- Integration of Internet of Things and Blockchain Technology for Smart Cities
- An IoT and Machine Learning Based Crop Prediction System for Precision Agriculture
- A Smart Feature Reduction Approach to Detect Botnet Attack in IoT
- An approach to handle Heterogeneous Healthcare IoT data using Deep Convolutional Neural Network
- Designing of NimbleArm - A Low-Cost and Interactive Semi-Autonomous Robotic Arm
- Cascade-based Pedestrian Detector using Edge and Pattern features.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-16-1550-4
- 9789811615504
- Access Restriction:
- Restricted for use by site license.
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