Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

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Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

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Enhancing Underwater Video from Consecutive Frames While Preserving Temporal Consistency by Kai Hu, Yuancheng Meng, Zichen Liao, Lei Tang, Xiaoling Ye

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A roadmap to implementing machine learning in healthcare: from concept to practice by Adam Paul Yan, Adam Paul Yan, Lin Lawrence Guo, Jiro Inoue, Santiago Eduardo Arciniegas, Emily Vettese, Agata Wolochacz, Nicole Crellin-Parsons, Brandon Purves, Steven Wallace, Azaz Patel, Medhat Roshdi, Karim Jessa, Karim Jessa, Bren Cardiff, Lillian Sung, Lillian Sung, Lillian Sung

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Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products by Van Thuy Hoang, Tien-Bach-Thanh do, Jinho Seo, Seung Charlie Kim, Luong Vuong Nguyen, Duong Nguyen Minh Huy, Hyeon-Ju Jeon, O-Joun Lee

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K-SMPC: Koopman Operator-Based Stochastic Model Predictive Control for Enhanced Lateral Control of Autonomous Vehicles by Jin Sung Kim, Ying Shuai Quan, Chung Choo Chung, Woo Young Choi

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Predicting early diagnosis of intensive care unit-acquired weakness in septic patients using critical ultrasound and biological markers by Ling Lei, Liang He, Tongjuan Zou, Jun Qiu, Yi Li, Ran Zhou, Yao Qin, Wanhong Yin

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Subseasonal Prediction of Heat‐Related Mortality in Switzerland by Maria Pyrina, Ana M. Vicedo‐Cabrera, Dominik Büeler, Sidharth Sivaraj, Christoph Spirig, Daniela I. V. Domeisen

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Optimization and prediction of paver block properties with ceramic waste as fine aggregate using response surface methodology by G. Uday Kiran, Nakkeeran G., Dipankar Roy, George Uwadiegwu Alaneme

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Antidepressant Treatment Response Prediction With Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA by Lok Hua Lee, Cyrus Su Hui Ho, Yee Ling Chan, Gabrielle Wann Nii Tay, Cheng-Kai Lu, Tong Boon Tang

Subjects: “…Treatment response prediction…”
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Assessment of Masonry-Infilled Steel Frames Using Existing Experimental Tests Database in Comparison to Standards by Ciprian Bratu, Dario Šokić, Naida Ademović, Ercan Isik, Borko Bulajić, Dorin Radu, Marijana Hadzima-Nyarko

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Forecasting Dissolved Organic Carbon Levels Utilizing Metaheuristic Optimization with Artificial Intelligence Techniques by Peng He, Chengjun Ma

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Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework by Ruize Gao, Shaoze Cui, Yu Wang, Wei Xu

Subjects: “…Financial distress prediction…”
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Non – Invasive, smartphone image-based screening for sickle cell disease at the point-of-need by Eudorah F. Vital, Meredith Haak LiCalzi, Robert G. Mannino, Patrick T. McGann, Wilbur A. Lam

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S‐PLM: Structure‐Aware Protein Language Model via Contrastive Learning Between Sequence and Structure by Duolin Wang, Mahdi Pourmirzaei, Usman L. Abbas, Shuai Zeng, Negin Manshour, Farzaneh Esmaili, Biplab Poudel, Yuexu Jiang, Qing Shao, Jin Chen, Dong Xu

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Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea by Hyunji Sang, Jaeyu Park, Soeun Kim, Myeongcheol Lee, Hojae Lee, Sun-Ho Lee, Dong Keon Yon, Sang Youl Rhee

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Glu4: An open-source package for real-time forecasting and alerting post-bariatric hypoglycemia based on continuous glucose monitoring by Luca Cossu, Francesco Prendin, Giacomo Cappon, David Herzig, Lia Bally, Andrea Facchinetti

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Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach by Tianshu Gu, Wensen Pan, Jing Yu, Guang Ji, Xia Meng, Yongjun Wang, Minghui Li

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Network Representation Based on the Joint Learning of Three Feature Views by Zhonglin Ye, Haixing Zhao, Ke Zhang, Zhaoyang Wang, Yu Zhu

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Predicting carbon peak at the provincial level using deep learning by Xiaoyan Tang, Kunsheng Fang

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