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1,119,435+ results for "machine learning health" from openalex (0.44s)

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Machine Learning Methods for the Health-Indexing and Ranking of Underground Distribution Cables and Joints

J. Heres, R. Stijl, Freek Reinders

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Meta-Heuristic with Machine Learning-Based Smart e-Health System for Ambient Air Quality Monitoring

Pankaj Rahi, Sanjay Sood, Rohit Bajaj

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Smart Non-Invasive Real-Time Health Monitoring using Machine Learning and IoT

A P Jyothi, Anirudh Shankar, Ashwath Narayan

View Record Cited by 5

A deep learning method for online capacity estimation of lithium-ion batteries

Sheng Shen, Mohammadkazem Sadoughi, Xiangyi Chen

Free PDF View Record Cited by 375

A Smart Health Application for Real-Time Cardiac Disease Detection and Diagnosis Using Machine Learning on ECG Data

Ucchwas Talukder Utsha, I Hua Tsai, Bashir I. Morshed et al.

Free PDF View Record Cited by 8

State of Health Estimation for Li-Ion Battery Using Machine Learning

Riya Sharma, Anju Bala, Ashima Singh

View Record Cited by 7

ADVANCEMENTS IN STRUCTURAL HEALTH MONITORING: A REVIEW OF MACHINE LEARNING APPROACHES FOR DAMAGE DETECTION AND ASSESSMENT

Muhammad Numan

Free PDF View Record Cited by 5

Octopus: A Novel Approach for Health Data Masking and Retrieving Using Physical Unclonable Functions and Machine Learning

Sagar Satra, Pintu Kumar Sadhu, Venkata P. Yanambaka et al.

Free PDF View Record Cited by 6

Machine learning models for estimating criteria pollutants and health risk-based air quality indices over eastern coast coal mine complex belts

Pradeep Kumar, Arti Choudhary, P. K. Joshi

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Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI

Vishnu S. Pendyala, HyungKyun Kim

Free PDF View Record Cited by 5

The Association of Periodontal Inflammation and Systemic Health Indicators: A Machine Learning Approach

Yu Yan, Praveen Sharma, Jean Suvan

Free PDF View Record Cited by 4

Spatiotemporal analysis of airborne pollutants and health risks in Mashhad metropolis: enhanced insights through sensitivity analysis and machine learning

Fahimeh Ahmadian, Saeed Rajabi, Sobhan Maleky

View Record Cited by 9

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