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Forecasting

Optimizing bike-sharing station locations: A machine learning and artificial neural networks approach using geospatial and demographic data

Marek Weis, Wojciech Dawid

published 19 May 2026

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RF-SVR-based prediction methodology for metal tube-bending rebound: Handling non-uniformity and limited sample challenges

Ziluo Fang, Pengfei Zhang, Liangyou Li, Qingzhu Zhang

published 15 May 2026

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Marketing analytics in banking 4.0: A two-stage explainable AI framework for high-accuracy and well-calibrated predictions

Fahim Nasir, Abdulghani Ali Ahmed, Iryna Yevseyeva, Mehmet Sabir Kiraz

published 15 May 2026

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Equity premium forecasting with reliability-screened forward-looking signals

Jeonggyu Huh, Jaegi Jeon, Seungwon Jeong

published 15 May 2026

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Predicting the uniaxial compressive strength and elasticity modulus of sandstones from physical and mechanical properties using statistical analyses and artificial intelligence-based techniques

Davood Fereidooni, Matloob Hejazifar

published 15 May 2026

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Interpretable prediction of dynamic compressive strength of red sandstone under wetting-drying cycles using ensemble learning

Bin Du, Wei Qi, Haibo Bai

published 14 May 2026

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What gets Redditors talking? Predicting discussion initiation and size on Reddit

Cara Lynch, Giacomo Livan

published 14 May 2026

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Monitoring land degradation by soil salinity using Sentinel-2 satellite data and GIS techniques: A case study of Sabkhat Ghuwaymid, Saudi Arabia

Ahmed Alneami, Abdullah Almuthibi, Merai Alqahtani, Ahmed A. Alameen, Shahd Alahmadi, Faisal Alharbi, Safiah Almutairi, Mohamed Alshafaey

published 13 May 2026

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Fear and the internalization of external regulation – An exploratory study on how fear of COVID-19 affected the internalization of mask-wearing

Jonas Tögel, Christof Kuhbandner

published 12 May 2026

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Comparing machine and deep learning models for pediatric anxiety classification using structured EHRs and area-based measures of health data

Eric W. Lee, Sanghyun Choo, Dakotah Maguire, Abhishek Shivanna, Daniel Santel, Surbhi Bhatnagar, Ian Goethert, Kelly Patterson, Jay Gholap, Heidi A. Hanson, Mayanka Chandrashekar, Robert T. Ammerman, John P. Pestian, Tracy Glauser, Cole Brokamp, Jeffrey R. Strawn, Anuj J. Kapadia, Greeshma Agasthya

published 12 May 2026

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A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms

Gustavo Vieira Veloso, Danilo César de Mello, Elpídio Inácio Fernandes-Filho, Cristiano Marcelo Pereira de Souza, Lucas Augusto Pereira da Silva, Mario Marcos Espirito Santo, Gustavo Mattos Vasques, Maurício Rizzato Coelho, José A. M. Demattê

published 11 May 2026

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Machine learning-based model for predicting recanalization in isolated distal deep vein thrombosis and analysis of predictors

Yingjie Kuang, Jun Zhang, Zhen An, Chunxu Yang, Wenxu Guo, Xiaomin Liu, Yue Zhang

published 08 May 2026

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Data-driven fuzzy information granulation for predicting freight volume trends

Yunbo Gao, Xinyu Wang, Ming Niu, Jianguo Li, Liping Cai, Rui Li

published 07 May 2026

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