Data-Driven Recycling Transformation for Enhancing Paper and Cardboard Bin Efficiency through IoT and Random Forest-Reference-Cited by-同舟云学术

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Data-Driven Recycling Transformation for Enhancing Paper and Cardboard Bin Efficiency through IoT and Random Forest

Published:2024-05-16 Issue: Volume:4 Page:1-6
ISSN:
Container-title:2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE)
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Author:

Srinivasan S.¹,Swathy R.²,Srividhya V.³,Murugan S.¹,Srinivasan C.⁴,Muthulekshmi M.¹

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Department of Biomedical Engineering,Chennai,Tamil Nadu,India

2. SRM Institute of Science and Technology,Department of Networking and Communications,Chenagalpattu, Chennai,Tamil Nadu,India

3. Meenakshi College of Engineering,Department of Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

4. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10582048/10582049/10582250.pdf?arnumber=10582250

Reference17 articles.

1. Machine for the Transformation of Recycled Paper Based on the Internet of Things;Regin;Central Asian Journal Of Mathematical Theory And Computer Sciences,2023

2. Enhancing Cloud Security: A Deep Cryptographic Analysis

3. Bayesian decision model based reliable route formation in internet of things

4. IoT-Based Magnetic Field Strength Monitoring for Industrial Applications

5. Residential Electric Vehicle Charging Station Using the Internet of Things

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