Deep Learning Approaches for Environmental Monitoring in Smart Cities-Reference-Cited by-同舟云学术

Deep Learning Approaches for Environmental Monitoring in Smart Cities

Published:2024-04-04 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
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Author:

Latha Soundarraj Prem¹,Jamadar Vahid Mansur²,Rappai Sherin³,Alkhafaji Mohamed Ayad⁴,Shareef Ashraf Mohammed⁵,Zearah Sajad Ali⁶

Affiliation:

1. School of Business & Management - MBA, Christ University,Pune,Maharashtra,India,412112

2. Dr. DaulatraoAher College of Engineering,Department of Mechanical Engineering,Maharashtra,India,415124

3. Kristu Jayanti College (Autonomous), K. Narayanapura, Kothanur,Department of Computer Science,Bangalore,Karnataka,India,560077

4. College of Engineering Technology, National University of Science and Technology,DhiQar,Iraq

5. National University of Science and Technology,DhiQar,Iraq

6. Al-ayen University,Scientific Research Center,Thi-Qar,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10568576/10568577/10568705.pdf?arnumber=10568705

Reference12 articles.

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2. flMNNP: Design and Development of Traffic Sign Identification and Recognition System to Support Smart Vehicles using Modified Neural Network Principles;Anitha

3. Futuristic Sustainable Energy and Technology

4. IoT-based patient monitoring system for predicting heart disease using deep learning

5. A Low-Cost Environmental Monitoring System: How to Prevent Systematic Errors in the Design Phase through the Combined Use of Additive Manufacturing and Thermographic Techniques