نتائج البحث

Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy.

• Authors : Mishra, Akshansh¹ (AUTHOR); Jatt, Vijaykumar² (AUTHOR); Sefene, Eyob Messele³ (AUTHOR)

Subjects: *Supervised learning; *Machine learning; *Temperature distribution

• Source: PLoS ONE. 4/4/2025, Vol. 20 Issue 4, p1-27. 27p.

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Analyzing Unimproved Drinking Water Sources and Their Determinants Using Supervised Machine Learning: Evidence from the Somaliland Demographic Health Survey 2020.

• Authors : Ismail, Hibak M.¹ (AUTHOR) ; Muse, Abdisalam Hassan¹ (AUTHOR) ; Hassan, Mukhtar Abdi^1,2 (AUTHOR)

Subjects: *Machine learning; *Supervised learning; *Support vector machines

• Source: Water (20734441). Oct2024, Vol. 16 Issue 20, p2986. 16p.

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A culture-independent approach, supervised machine learning, and the characterization of the microbial community composition of coastal areas across the Bay of Bengal and the Arabian Sea.

• Authors : Rekadwad, Bhagwan Narayan^1,2 (AUTHOR) ; Shouche, Yogesh Shreepad^2,3 (AUTHOR); Jangid, Kamlesh⁴ (AUTHOR)

Subjects: *Machine learning; *Supervised learning; *Microbial communitiesAndhra Pradesh (India)

• Source: BMC Microbiology. 5/10/2024, Vol. 24 Issue 1, p1-20. 20p.

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Supervised Machine Learning-Based Models for Predicting Raised Blood Sugar.

• Authors : Owess, Marwa Mustafa^1,2 (AUTHOR) ; Owda, Amani Yousef¹ (AUTHOR) ; Owda, Majdi³ (AUTHOR)

• Source: International Journal of Environmental Research & Public Health. Jul2024, Vol. 21 Issue 7, p840. 24p.

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Pavement Roughness Prediction Using Explainable and Supervised Machine Learning Technique for Long-Term Performance.

• Authors : Sandamal, Kelum¹ (AUTHOR) ; Shashiprabha, Sachini¹ (AUTHOR); Muttil, Nitin^2,3 (AUTHOR)

Subjects: *Machine learning; *Asphalt concrete pavements; *Sustainable transportation

• Source: Sustainability (2071-1050). Jun2023, Vol. 15 Issue 12, p9617. 17p.

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Diagnosed and subjectively perceived long-term effects of COVID-19 infection on olfactory function assessed by supervised machine learning.

• Authors : Lötsch, Jörn^1,2 (AUTHOR); Brosig, Oskar³ (AUTHOR); Slobodova, Jana⁴ (AUTHOR)

Subjects: *Artificial neural networks; *Supervised learning; *Machine learning

• Source: Chemical Senses. 2024, Vol. 49, p1-14. 14p.

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Supervised Machine Learning-Based Prediction of Hydrogen Storage Classes Utilizing Dibenzyltoluene as an Organic Carrier.

• Authors : Ali, Ahsan¹ (AUTHOR) ; Khan, Muhammad Adnan^2,3,4 (AUTHOR) ; Choi, Hoimyung¹ (AUTHOR)

Subjects: *Hydrogen storage; *Supervised learning; *Support vector machines

• Source: Molecules. Mar2024, Vol. 29 Issue 6, p1280. 16p.

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Supervised Machine Learning Approaches for Predicting Key Pollutants and for the Sustainable Enhancement of Urban Air Quality: A Systematic Review.

• Authors : Essamlali, Ismail¹ (AUTHOR) ; Nhaila, Hasna¹ (AUTHOR); El Khaili, Mohamed¹ (AUTHOR)

Subjects: *Supervised learning; *Air pollutants; *Machine learning

• Source: Sustainability (2071-1050). Feb2024, Vol. 16 Issue 3, p976. 26p.

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Identifying Causes of Traffic Crashes Associated with Driver Behavior Using Supervised Machine Learning Methods: Case of Highway 15 in Saudi Arabia.

• Authors : Akin, Darcin¹ (AUTHOR) ; Sisiopiku, Virginia P.² (AUTHOR); Alateah, Ali H.¹ (AUTHOR)

Subjects: *Supervised learning; *Rural roads; *Traffic safetySaudi Arabia; Taif (Saudi Arabia)

• Source: Sustainability (2071-1050). Dec2022, Vol. 14 Issue 24, p16654. 36p.

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Objective Supervised Machine Learning-Based Classification and Inference of Biological Neuronal Networks.

• Authors : Barros, Michael Taynnan^1,2 (AUTHOR) ; Siljak, Harun³ (AUTHOR); Mullen, Peter³ (AUTHOR)

Subjects: *Biological classification; *Supervised learning; *Biological networks

• Source: Molecules. Oct2022, Vol. 27 Issue 19, p6256. 23p.

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