Development of interpretable intelligent frameworks for estimating river water turbidity by Amin Gharehbaghi, Salim Heddam, Saeid Mehdizadeh, Sungwon Kim

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Deep hybrid architecture with stacked ensemble learning for binary classification of retinal disease by Priyadharsini C, Asnath Victy Phamila Y

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Machine Learning Approaches for the Prediction of Displaced Abomasum in Dairy Cows Using a Highly Imbalanced Dataset by Zeinab Asgari, Ali Sadeghi-Sefidmazgi, Abbas Pakdel, Saleh Shahinfar

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Methodology for detecting anomalies in cyber attack assessment data using Random Forest and Gradient Boosting in machine learning by A. S. Kechedzhiev, O. L. Tsvetkova, A. I. Dubrovina

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Exploring the Sources of Centrality in the Turkish Domestic Airport Network by Keziban Seçkin Codal, Samet Güner

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Development and validation of a novel AI-derived index for predicting COPD medical costs in clinical practice by Guan-Heng Liu, Chin-Ling Li, Chih-Yuan Yang, Shih-Feng Liu

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Hindcasting Extreme Significant Wave Heights Under Fetch-Limited Conditions with Tree-Based Models by Damjan Bujak, Hanna Miličević, Goran Lončar, Dalibor Carević

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Using extreme gradient boosting for predictive urban expansion analysis in Rustenburg, South Africa from 2000 to 2030 by Paidamwoyo Mhangara, Eskinder Gidey, Bruce Steadman Mayise

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A scalable framework for soil property mapping tested across a highly diverse tropical data-scarce regionZENODO by Rodrigo de Q. Miranda, Rodolfo L.B. Nóbrega, Anne Verhoef, Estevão L.R. da Silva, Jadson F. da Silva, José C. de Araújo Filho, Magna S.B. de Moura, Alexandre H.C. Barros, Alzira G.S.S. Souza, Wanhong Yang, Hui Shao, Raghavan Srinivasan, Feras Ziadat, Suzana M.G.L. Montenegro, Maria do S.B. Araújo, Josiclêda D. Galvíncio

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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

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Proposing a machine learning-based model for predicting nonreassuring fetal heart by Nasibeh Roozbeh, Farideh Montazeri, Mohammadsadegh Vahidi Farashah, Vahid Mehrnoush, Fatemeh Darsareh

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Strength prediction of ECC-CES columns under eccentric compression using adaptive sampling and ML techniques by Khaled Megahed

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Efficacy of breast reconstruction for N2‐3M0 stage female breast cancer on breast cancer‐specific survival: A population‐based propensity score analysis by Yuting Zhao, Lutong Yan, Shouyu Li, Zejian Yang, Na Chai, Pei Qiu, Huimin Zhang, Jianjun He, Can Zhou

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Runoff evolution characteristics and its response to climate change in the middle and lower reaches of Shule River Basin, Northwest China by Dongyuan Sun, Yiru Wang, Lanzhen Wu, Xingfan Wang, Yanqiang Cui, Heping Shu, Yali Ma

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Compressive behavior of elliptical concrete-filled steel tubular short columns using numerical investigation and machine learning techniques by Hazem Samih Mohamed, Tang Qiong, Haytham F. Isleem, Rupesh Kumar Tipu, Ramy I. Shahin, Saad A. Yehia, Pradeep Jangir, Arpita, Mohammad Khishe

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Predicting flexural strength of hybrid FRP-steel reinforced beams using symbolic regression and ML techniques by Khaled Megahed

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Artificial Neural Network and Ensemble Models for Flood Prediction in North-Central Region of Nigeria by Sikiru Abdulganiyu Siyanbola, Aisha Olabisi Sowemimo, Zaid Habibu, Timothy Ebuka Eberechukwu

Subjects: “…stochastic gradient boosting model…”
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