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182

Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis
Yáñez-Sepúlveda, Rodrigo ; Vásquez-Bonilla, Aldo ; Olivares, Rodrigo ; et al.
Scientific Reports. 15(1)

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184

Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree regression
Sadiq, Idris Zubairu ; Abubakar, Fatima Sadiq ; Saliu, Muhammad Auwal ; et al.
Bulletin of the National Research Centre. 49(1)

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185

Cross-scale correlation analysis of water-induced deterioration on soft rock in coal mine underground reservoir engineering based on deep learning algorithm
Liu, Hao ; Zhao, Zenghui ; Ma, Qing ; et al.
International Journal of Coal Science & Technology. 12(1)

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186

Application of machine learning algorithm for prediction of abortion among reproductive age women in Ethiopia
Asnake, Angwach Abrham ; Gebrehana, Alemayehu Kasu ; Asebe, Hiwot Altaye ; et al.
Scientific Reports. 15(1)

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187

Multi class aerial image classification in UAV networks employing Snake Optimization Algorithm with Deep Learning
Al Mazroa, Alanoud ; Alruwais, Nuha ; Saeed, Muhammad Kashif ; et al.
Scientific Reports. 15(1)

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190

Hybrid intelligence: integrating machine learning and nature-inspired algorithms for malware detection
Sikdar, Subinoy ; Kule, Malay
Journal of Computer Virology and Hacking Techniques. 21(1)

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191

Prediction of late-onset depression in the elderly Korean population using machine learning algorithms
Park, Jong Wan ; Ko, Chang Woo ; Lee, Diane Youngmi ; et al.
Scientific Reports. 15(1)

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195

Abrasive waterjet drilling process enhancement using machine learning and evolutionary algorithms.
Nagarajan, Lenin ; Mahalingam, Siva Kumar ; Vasudevan, Balaji
Materials & Manufacturing Processes. 2024, Vol. 39 Issue 15, p2166-2182. 17p.

MACHINE learning RANDOM forest algorithms EVOLUTIONARY algorithms CAPABILITIES approach (S... INCONEL
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196

Cuckoo-Inspired Algorithms for Selecting Features in the Prediction of Diabetes Using Machine Learning Models
Shafi, Salliah ; Ahmad, Sultan ; Ansari, Gufran Ahmad ; et al.
SN Computer Science. 6(7)

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198

Predicting removal of copper, nickel, and zinc from contaminated water by machine learning algorithms in batch adsorption
Singh, Jyoti ; Swaroop, Sarvanshi ; Sharma, Prayshita ; et al.
International Journal of Advances in Engineering Sciences and Applied Mathematics. 17(4):541-567

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199

Improving the spatial prediction of machine learning-based landslide susceptibility models by integrating the particle swarm optimization algorithm
Ajin, Rajendran Shobha ; Saha, Anik ; Saha, Sunil ; et al.
Stochastic Environmental Research and Risk Assessment. 39(12):5827-5854

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