Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department by Mohammad A. Shbool, Omar S. Arabeyyat, Ammar Al-Bazi, Abeer Al-Hyari, Arwa Salem, Thana’ Abu-Hmaid, Malak Ali

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Failure Prediction of Two Types of Rocks Based on Acoustic Emission Characteristics by Bing Sun, Shanshan Hou, Jiehui Xie, Sheng Zeng

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Predicting bat roosts in bridges using Bayesian Additive Regression Trees by Jacob Oram, Amy K. Wray, Helen T. Davis, Luz A. de Wit, Winifred F. Frick, Andrew Hoegh, Kathryn M. Irvine, Patrick Pollock, Andrea N. Schuhmann, Frank C. Tousley, Brian E. Reichert

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A machine learning-powered energy consumption prediction system with API by Toyeeb Adekunle Abd’Azeez, Lanre Olatomiwa

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Comparative analysis of machine learning approaches for predicting the risk of vaginal laxity by Hongguo Zhao, Peng Liu, Fei Chen, Mengjuan Wang, Jiaxi Liu, Xiling Fu, Hang Yu, Manman Nai, Lei Li, Xinbin Li

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Predicting post-traumatic growth based on rumination-reflection in patients with cancer by Elmira Majedi, Mahdieh Salehi, Amin Rafiepoor, Afsaneh Ghanbaripanah

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Predicting early cessation of exclusive breastfeeding using machine learning techniques. by Freja Marie Nejsum, Rikke Wiingreen, Andreas Kryger Jensen, Ellen Christine Leth Løkkegaard, Bo Mølholm Hansen

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Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence–Driven Clinical Prediction Model: Protocol fro... by Rutger van Mierlo, Bart Scheenstra, Joost Verbeek, Anke Bruninx, Petros Kalendralis, Inigo Bermejo, Andre Dekker, Arnoud van 't Hof, Marieke Spreeuwenberg, Laura Hochstenbach

“…Identifying apparently healthy individuals at risk of developing cardiovascular diseases using clinical prediction models raises awareness, facilitates shared decision-making, and supports tailored management of disease prevention. …”
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GULP1 as a novel diagnostic and predictive biomarker in hepatocellular carcinoma by Hyung Seok Kim, Jung Hwan Yoon, Ji Yi Choi, Moon Gyeong Yoon, Geum Ok Baek, Minji Kang, Se Ha Jang, Won Park, Yunjin Go, Jestlin Tianthing Ng, Suk Woo Nam, Jee-Yeong Jeong, Ji Eun Han, Hyo Jung Cho, Su Bin Lim, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun

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Mobile Traffic Prediction at the Edge Through Distributed and Deep Transfer Learning by Alfredo Petrella, Marco Miozzo, Paolo Dini

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Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction by Mas Omar, Fitri Yakub, Andika Aji Wijaya, Ahmad Faiz Mohammad, Mohd Nazmin Maslan, Inge Dhamanti, Shi Zhongchao

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Explainable Spatio-Temporal Inference Network for Car-Sharing Demand Prediction by Nihad Brahimi, Huaping Zhang, Zahid Razzaq

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Traffic prediction and load balancing based on in-band network telemetry data by ZHANG Xu, ZHAO Chenxi, FENG Chuan, WEN Ting, LIU Wei, GUO Lei

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Application of Digital Educational History Data to Predict the Risk of Student Failure by Tatyana Kustitskaya, Roman Esin, Alexey Kytmanov, Tatyana Zykova

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CFD prediction and experimental visualisation of cavitation and its erosion in hydraulic valves by Sven Osterland, Jürgen Weber

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Activity prediction of anti-cancer drug candidate ERα inhibitor by XIA Yulan, XIE Jiming, WANG Yajing, LU Mengyuan, WANG Jinrui, QIN Yaqin

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Digital Twin and Data-Driven Remaining Useful Life Prediction of Gearbox by Quanbo Lu, Mei Li, Xiaojuan Huang

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Robust Predictive Current Control of IMs With MRAS-Based Parameter Estimation by Gabriel Caramori, Igor Oliani, Angelo S. Lunardi, Alfeu J. Sguarezi Filho

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Predicting Prognosis of Early-Stage Mycosis Fungoides with Utilization of Machine Learning by Banu İsmail Mendi, Hatice Şanlı, Mert Akın Insel, Beliz Bayındır Aydemir, Mehmet Fatih Atak

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Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

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