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Boosting algorithms

Deep learning approaches show promise for predicting childhood malnutrition: A comparative study with traditional machine learning methods using survey data

Deepak Bastola, Yang Li

published 22 Jul 2026

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Achieving long-term success in irrigation commons

Ulrich J. Frey, Atul Pokharel

published 21 Jul 2026

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Interpretable machine learning with Bayesian optimization for bond strength prediction of steel reinforcement in geopolymer concrete

Viet Hung Tran, Viet Hai Hoang, Quang Minh Tran

published 09 Jul 2026

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Air quality index prediction using machine learning regression models: A comparative analysis

Fiaz Majeed, Sana Saleha, Laraib Abbas, Syed Ali Ghalib, Muhammad Hamid, Muhammad Saleem, Mohammed Aman, Arshad Ahmad

published 08 Jul 2026

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Geospatial variation and machine learning approaches to predict open defecation practice in Zambia

Andualem Addisu Birlie, Nega Abebe Meshesha, Sefefe Birhanu Tizie, Smegnew Gichew Wondie, Selamawit Gashaw Teshome, Tesfaye Deribe Bedada, Ayana Alebachew Muluneh, Biruktawit Lelisa Eticha, Geleta Nenko Dube, Gelgelo Wodessa, Muluken Belachew Mengistie

published 10 Jun 2026

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Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning

Jiafu Yang, Sicheng Wang, Xin Chen, Liping Liu, Yangkang Li

published 01 Jun 2026

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A hybrid machine learning and explainable AI framework for optimizing risk-based authentication

K. Sasikumar, Sivakumar Nagarajan

published 26 May 2026

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Toward transparent intelligence: Explainable stacked ensembles learning for LiDAR point cloud segmentation

Afridi Rahman Bondhon, Emon Kumar Dey

published 20 May 2026

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Genetic variants and polygenic risk scores associated with paroxysmal atrial fibrillation in the Japanese population

Megumi Shiomi, Yuki Nagata, Takeaki Sudo, Kentaro Takahashi, Chihiro Higuchi, Kensuke Ihara, Ken Asada, Yasuaki Tanaka, Yasuteru Yamauchi, Takeshi Sasaki, Hitoshi Hachiya, Yasushi Imai, Hideo Fujita, Tetsuo Sasano, Tetsushi Furukawa, Toshihiro Tanaka

published 04 May 2026

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Comparative evaluation of machine learning models for predicting Cimbex quadrimaculata population density across multiple problem formulations

Yunus Güral

published 03 Apr 2026

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Forecasting auditor’s going concern opinion using with hybrid robust machine learning model

Uğur Ejder, Alpaslan Yaşar

published 20 Mar 2026

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Efficient talent identification in women’s football: A ranking-based approach for goal scoring analysis

Songyi Song, Hee-Su Kim

published 24 Feb 2026

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Machine learning prediction of metabolic-associated fatty liver disease in type 2 diabetes: Emphasizing data imputation and feature selection

Zahra Khosravi, Farnaz Barzinpour, Soghra Rabizadeh, Manouchehr Nakhjavani, Alireza Esteghamati

published 24 Feb 2026

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