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Academic Journal

Evaluation of Hand Action Classification Performance Using Machine Learning Based on Signals from Two sEMG Electrodes.

  • Authors : Shaw HO; School of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.; Devin KM

Subjects: Electromyography*/Electromyography*/Electromyography*/methods ; Hand*/Hand*/Hand*/physiology ; Machine Learning*

  • Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Apr 09; Vol. 24 (8). Date of Electronic Publication: 2024 Apr 09.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Academic Journal

Who are the best passing players in professional soccer? A machine learning approach for classifying passes with different levels of difficulty and discriminating the best passing players.

  • Authors : Merlin M; School of Physical Education, University of Campinas, Campinas, Brazil.; Faculty of São Vicente, São Vicente, Brazil.

Subjects: Soccer* ; Athletic Performance*/Athletic Performance*/Athletic Performance*/classification ; Machine Learning*

  • Source: PloS one [PLoS One] 2024 May 30; Vol. 19 (5), pp. e0304139. Date of Electronic Publication: 2024 May 30 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Predicting malaria outbreak in The Gambia using machine learning techniques.

  • Authors : Khan O; Department of Mathematics, College of Computing and Mathematics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.; Ajadi JO

Subjects: Malaria*/Malaria*/Malaria*/epidemiology ; Disease Outbreaks* ; Machine Learning*

  • Source: PloS one [PLoS One] 2024 May 16; Vol. 19 (5), pp. e0299386. Date of Electronic Publication: 2024 May 16 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models.

  • Authors : Heydari S; Department of Mining Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.; Hoseinie SH

Subjects: Support Vector Machine* ; Machine Learning*; Neural Networks, Computer

  • Source: Scientific reports [Sci Rep] 2024 Apr 18; Vol. 14 (1), pp. 8928. Date of Electronic Publication: 2024 Apr 18.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Image classification with symbolic hints using limited resources.

  • Authors : Jørgensen MG; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark.; Tětková L

Subjects: Support Vector Machine*; Machine Learning ; Algorithms

  • Source: PloS one [PLoS One] 2024 May 21; Vol. 19 (5), pp. e0301360. Date of Electronic Publication: 2024 May 21 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

A machine learning based depression screening framework using temporal domain features of the electroencephalography signals.

  • Authors : Khan S; Department of Computer Engineering, University of Engineering and Technology Taxila, Taxila, Pakistan.; Umar Saeed SM

Subjects: Depression*/Depression*/Depression*/diagnosis ; Support Vector Machine*; Humans

  • Source: PloS one [PLoS One] 2024 Mar 27; Vol. 19 (3), pp. e0299127. Date of Electronic Publication: 2024 Mar 27 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

A simulation study on missing data imputation for dichotomous variables using statistical and machine learning methods.

  • Authors : Ge Y; Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, People's Republic of China.; Li Z

Subjects: Machine Learning* ; Support Vector Machine*; Computer Simulation

  • Source: Scientific reports [Sci Rep] 2023 Jun 09; Vol. 13 (1), pp. 9432. Date of Electronic Publication: 2023 Jun 09.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Hyperspectral Image Labeling and Classification Using an Ensemble Semi-Supervised Machine Learning Approach.

  • Authors : Manian V; Department of Electrical and Computer Engineering, University of Puerto Rico, Mayaguez, PR 00681, USA.; Alfaro-Mejía E

Subjects: Supervised Machine Learning* ; Support Vector Machine*; Cluster Analysis

  • Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Feb 18; Vol. 22 (4). Date of Electronic Publication: 2022 Feb 18.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Academic Journal

Machine learning prediction model based on enhanced bat algorithm and support vector machine for slow employment prediction.

  • Authors : Wei Y; Department of Information Technology, Wenzhou Vocational College of Science and Technology, Wenzhou, 325006, China.; Rao X

Subjects: Support Vector Machine* ; Algorithms*; Humans

  • Source: PloS one [PLoS One] 2023 Nov 09; Vol. 18 (11), pp. e0294114. Date of Electronic Publication: 2023 Nov 09 (Print Publication: 2023).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation.

  • Authors : Abdelfattah S; Department of Computer Science and Information Systems, Bradley University, Peoria, IL 61625, USA.; Baza M

Subjects: Privacy* ; Support Vector Machine*; Humans

  • Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Nov 08; Vol. 23 (22). Date of Electronic Publication: 2023 Nov 08.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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