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Prediction of geogenic source of groundwater fluoride contamination in Indian states: A comparative study of different supervised machine learning algorithms

• Authors : Garima, Singh; Shikha, Mehta

Subjects: Fluorides; 0207 environmental engineering; India

• Source: Journal of Water and Health. 22:1387-1408

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Enhancing microgrid energy management through solar power uncertainty mitigation using supervised machine learning

• Authors : Rasha Elazab; Ahmed Abo Dahab; Maged Abo Adma

Subjects: HOMER; Microgrid; HD9502-9502.5

• Source: Energy Informatics, Vol 7, Iss 1, Pp 1-26 (2024)

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A novel simulation and supervised machine learning-based prediction framework to predict the total transportation and energy costs for single-family households

• Authors : Vinay Gonela; Raghavan Srinivasan; Atif Osmani

Subjects: transportation costs; 0202 electrical engineering, electronic engineering, information engineering; supervised machine learning

• Source: Frontiers in Energy Efficiency, Vol 2 (2024)

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Supervised machine learning of outbred mouse genotypes to predict hepatic immunological tolerance of individuals

• Authors : Miwa Morita-Nakagawa; Kohji Okamura; Kazuhiko Nakabayashi

Subjects: Graft Rejection; Male; Liver transplantation

• Source: Sci RepScientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)

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How accurately can supervised machine learning model predict a targeted psychiatric disorder?

• Authors : Haitham Jahrami; Amir H. Pakpour; Waqar Husain

Subjects: Healthcare Analytics; Male; Adult

• Source: BMC PsychiatryBMC Psychiatry, Vol 24, Iss 1, Pp 1-9 (2024)

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Discovering Practical Insights with Supervised Machine Learning

• Authors : null Mr. Parvej Ikbal Shaikh; null Mrs. Shradha Balasaheb Linge

• Source: International Journal of Advanced Research in Science, Communication and Technology. :595-602

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Self-Supervised Machine Learning to Characterize Step Counts from Wrist-Worn Accelerometers in the UK Biobank

• Authors : Small, SR; Chan, S; Walmsley, R

Subjects: Male; Adult; UK Biobank

• Source: Med Sci Sports Exerc

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Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development

• Authors : Ana Victoria Ponce‐Bobadilla; Vanessa Schmitt; Corinna S. Maier

Subjects: Machine Learning; Drug Development; Artificial Intelligence

• Source: Clin Transl SciClinical and Translational Science, Vol 17, Iss 11, Pp n/a-n/a (2024)

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A Supervised Machine Learning Monitoring System for Vehicle-Railway Bridge Collision

• Authors : Khaled Hallak; Adel Abdallah;

Subjects: Distributed machine learning; Structural health monitoring; 05 social sciences

• Source: artificial intelligence and applicationsartificial intelligence and applications, 2024, ⟨10.47852/bonviewaia42022662⟩

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Predicting diabetes using supervised machine learning algorithms on E-health records

• Authors : Sulaiman Afolabi; Nurudeen Ajadi; Afeez Jimoh

• Source: Informatics and Health. 2:9-16

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