MHfit: Mobile Health Data for Predicting Athletics Fitness Using Machine Learning Models-Reference-Cited by-同舟云学术

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MHfit: Mobile Health Data for Predicting Athletics Fitness Using Machine Learning Models

Published:2022-12-22 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE)
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Author:

Miah Jonayet¹,Mamun Muntasir¹,Rahman Md Minhazur¹,Mahmud Md Ishtyaq²,Ahmad Sabbir³,Nasir Md Hasan Bin¹

Affiliation:

1. University of South Dakota,Department of Computer Science,South Dakota,USA

2. Central Michigan University,College of Science & Engineering,Mount Pleasant,MI,USA,48858

3. University of South Dakota,Department of Mathematical Science,South Dakota,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10180901/10180410/10180967.pdf?arnumber=10180967

Reference19 articles.

1. Lung cancer prediction model using ensemble learning techniques and a systematic review analysis

2. A Narrative Review for a Machine Learning Application in Sports: An Example Based on Injury Forecasting in Soccer

3. A machine learning approach of predicting high potential archers by means of physical fitness indicators

4. Heart failure survival prediction using machine learning algorithm: am I safe from heart failure?

5. Does Physical Activity Predict Obesity—A Machine Learning and Statistical Method-Based Analysis

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3. Deep Learning Algorithms for Sports Data Analysis and Prediction in Sports Competitions;Applied Mathematics and Nonlinear Sciences;2024-01-01

4. Quickness Aspect Talent Identification (QATI) System Based on the Internet of Things;Lecture Notes in Electrical Engineering;2024

5. HARNet: automatic recognition of human activity from mobile health data using CNN and transfer learning of LSTM with SVM;Automatika;2023-12-10

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