Predictive Modeling of Dental Health Outcomes Based on Fluoride Concentrations using AI-Reference-Cited by-同舟云学术

Predictive Modeling of Dental Health Outcomes Based on Fluoride Concentrations using AI

Published:2023-12-29 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
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Author:

M Swathi Pai¹,Arudra Annepu²,V Dankan Gowda³,Vadar Parashuram Shankar⁴,Jadhav Mahadeo Ramchandra⁵,Kaur Mandeep⁶

Affiliation:

1. NITTE (Deemed to be University), NMAM Institute of Technology,Department of Artificial intelligence and machine learning,Nitte,Karnataka,India,574110

2. Rajiv Gandhi Institute of Technology,Department of Computer Science & Engineering,Bangalore,Karnataka,India

3. BMS Institute of Technology and Management,Department of Electronics & Communication Engineering,Bangalore,Karnataka,India

4. Yashwantrao Chavan School of Rural Development, Shivaji University,Kolhapur,Maharashtra,India

5. Bharati Vidyapeeth College of Engineering,Department of Applied Science,Navi Mumbai,India

6. Punjabi University,Department of Electronics and Communication Engineering,Patiala,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441789/10441802/10441841.pdf?arnumber=10441841

Reference28 articles.

1. Anomaly detection in panoramic dental x-rays using a hybrid Deep Learning and Machine Learning approach

2. Feature Extraction and Classification of X-Ray Lung Images Using Haralick Texture Features

3. Study and Analysis of an Approach Towards the Classification of Tooth Wear in Dentistry Using Machine Learning Technique

4. Application of Machine Learning to Stomatology: A Comprehensive Review

5. Ensemble and Deep Learning for Real-time Sensors Evaluation of algorithms for real-time sensors with application for detecting brushing location

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