Design and Development of a Novel Sensor Assisted Vehicle Count Prediction Using Modulated Deep Learning Principles-Reference-Cited by-同舟云学术

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Design and Development of a Novel Sensor Assisted Vehicle Count Prediction Using Modulated Deep Learning Principles

Published:2024-04-04 Issue: Volume:14 Page:1-7
ISSN:
Container-title:2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
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Author:

Tamilselvi M.¹,Rajeshwari R²,R Chandra Kala.³,Nagaraju N.⁴,D Sasirekha.⁵

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University,Dept of ECE,Chennai

2. S.A. Engineering College,Department of MCA,Chennai

3. Artificial Intelligence and Data Science, VeltechMultitech Dr Rangarajan Dr Sakunthala Engineering College,Chennai

4. Annamacharya Institute of Technology & Sciences,Department of Mechanical Engineering,Rajampet,Andhrapradesh,Annamayya

5. Rajalakshmi Engineering College,Department of Electronics and Communication Engineering,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10568576/10568577/10568881.pdf?arnumber=10568881

Reference15 articles.

1. A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data

2. Efficient Internet of Things Enabled Smart Healthcare Monitoring System Using RFID Security Scheme

3. MSCNet: Dense vehicle counting method based on multi-scale dilated convolution channel-aware deep network

4. Internet of Things Enabled Energy-Efficient Flying Robots for Agricultural Field Monitoring Using Smart Sensors

5. A Hybrid Deep Learning Model for Link Dynamic Vehicle Count Forecasting with Bayesian Optimization

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