Enhancing the Accuracy of Meal Waste from Innovative Trash Data Using Random Forest by Comparing Support Vector Machine Algorithms-Reference-Cited by-同舟云学术

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Enhancing the Accuracy of Meal Waste from Innovative Trash Data Using Random Forest by Comparing Support Vector Machine Algorithms

Published:2023-12-21 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
language:
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Author:

Saravanan M.S¹,Sivashankar S²

Affiliation:

1. Saveetha University,Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,Tamilnadu,India

2. Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10452407/10452427/10452620.pdf?arnumber=10452620

Reference17 articles.

1. Mechatronic Futures

2. Solid Waste Management

3. Comparative Analyses of the Microbial Communities Inhabiting Coal Mining Waste Dump and an Adjacent Acid Mine Drainage Creek

4. The ambiguous role of sirtuins in head and neck squamous cell carcinoma

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