A Unified Deep Learning Ensemble Framework for Voice-Based Parkinson’s Disease Detection and Motor Severity Prediction by Madjda Khedimi, Tao Zhang, Chaima Dehmani, Xin Zhao, Yanzhang Geng

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ECG features improve multimodal deep learning prediction of incident T2DM in a Middle Eastern cohort by Farida Mohsen, Ali Safa, Zubair Shah

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Annotation-free deep learning for predicting gene mutations from whole slide images of acute myeloid leukemia by Bo-Han Wei, Xavier Cheng-Hong Tsai, Kuo-Jui Sun, Min-Yen Lo, Sheng-Yu Hung, Wen-Chien Chou, Hwei-Fang Tien, Hsin-An Hou, Chien-Yu Chen

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Using artificial intelligence to predict patient outcomes from patient-reported outcome measures: a scoping review by Zuzanna Wójcik, Vania Dimitrova, Lorraine Warrington, Galina Velikova, Kate Absolom

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MAOOA‐Residual‐Attention‐BiConvLSTM: An Automated Deep Learning Framework for Global TEC Map Prediction by Haoran Wang, Haijun Liu, Jing Yuan, Huijun Le, Weifeng Shan, Liangchao Li

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Development and Comparison of Artificial Neural Networks and Gradient Boosting Regressors for Predicting Topsoil Moisture Using Forecast Data by Miriam Zambudio Martínez, Larissa Haringer Martins da Silveira, Rafael Marin-Perez, Antonio Fernando Skarmeta Gomez

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Predicting Urban Rail Transit Network Origin–Destination Matrix Under Operational Incidents with Deep Counterfactual Inference by Qianqi Fan, Chengcheng Yu, Jianyong Zuo

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Overnight maternal heart rate variability for early prediction of gestational diabetes mellitus: a retrospective cohort study by Yanqi Wu, Sima Asvadi, Myrthe van der Ven, M. Beatrijs van der Hout-van der Jagt, Elisabetta Peri, Pedro Fonseca, Sebastiaan Overeem, S. Guid Oei, Massimo Mischi, Xi Long

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Predicting long-term functional anti-VEGF treatment outcomes in neovascular AMD in a real-world setting. by Isabel B Pfister, Christin Schild, Justus G Garweg

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Development and validation of a nomogram for predicting diabetic foot ulcer risk in patients with type 2 diabetes mellitus by Xiuli Feng, Renhao Zhao, Teng Yang, Na Wang, Guofeng Wang

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Augmentation method of fatigue data of welded structures based on physics-informed CTGAN by Xinyu Cao, Li Zou, Chen Lu

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Improved clinical pregnancy rates in natural frozen-thawed embryo transfer cycles with machine learning ovulation prediction: insights from a retrospective cohort study by Almog Luz, Ariel Hourvitz, Eden Moran, Nevo Itzhak, Shachar Reuvenny, Rohi Hourvitz, Michal Youngster, Micha Baum, Ettie Maman

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Application of Artificial Neural Network for Prediction of Concrete–High-Performance Concrete Interfacial Bond Strength After Exposure to Elevated Temperature by Nagat M. Zalhaf

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A GIS-Independent method of Stream-Order-Law Ratios Prediction in Catchments for direct Runoff Hydrograph Estimation by Mostafa Akbari Kheirabadi, Touraj Sabzevari, Andrea Petroselli, Mohsen Tarahi

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FINANCIAL DISTRESS PREDICTION OF FINANCIAL SECTOR SERVICE COMPANIES ON INDONESIAN STOCK EXCHANGE USING COX PROPORTIONAL HAZARD by Candra Yanuar Dwi Putra, Mohamat Fatekurohman, Dian Anggraeni

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Vertical Eddy Diffusivity Parameterization Based on a Large‐Eddy Simulation and Its Impact on Prediction of Hurricane Landfall by Xin Li, Zhaoxia Pu

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Predicting US state teenage birth rates using search engine query data on pregnancy termination and prevention by Daniel D Reidpath, Pascale Allotey

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A framework for detecting and predicting highway traffic anomalies via multimodal fusion and heterogeneous graph neural networks. by Shaowei Sun, Mingzhou Liu

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Cross-Method Overview of Fleet-Based Machine Health Estimation and Prediction: A Practical Guide for Industrial Applications by Xuqian Yan, Janis Woelke, Boris Bensmann, Christoph Eckert, Richard Hanke-Rauschenbach, Astrid Niebe

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Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition by Shaikh Yassir Yousouf Jewan, Deepak Gautam, Debbie Sparkes, Ajit Singh, Lawal Billa, Alessia Cogato, Erik Murchie, Vinay Pagay

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