Evaluation of a pragmatic approach to predicting COVID-19-positive hospital bed occupancy by Azeem Majeed, Thomas Woodcock, Paul Aylin, Julian Redhead, Derryn Lovett, Jacques Naude

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A big data driven multilevel deep learning framework for predicting terrorist attacks by Ume Kalsooma, Sahar Arshad, Amerah Albarah, Imran Siddiqi, Saeed Ullah, Abdul Mateen, Farhan Amin

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Development and validation of a nomogram predicting multidrug-resistant tuberculosis risk in East China by Fang He, Shu Wang, Hua Wang, Xing Ding, Pengfei Huang, Xiaoyun Fan

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Numerical Studies on Aerodynamics Performance of Modified Basebleed to Reduce Fuel Consumption in Squareback Cars by M. S. Prasath, C. Sasikumar, G. Sivaraj

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Machine learning-driven identification of key risk factors for predicting depression among nurses by Xiaoyan Qi, Xin Huang

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Predicting ESWL success for ureteral stones: a radiomics-based machine learning approach by Ran Yang, Dan Zhao, Chunxue Ye, Ming Hu, Xiao Qi, Zhichao Li

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Predicting shear capacity of Recycled Aggregate Concrete beams using Artificial Neural Network by Ha HOANG, Tuan-Dung PHAM, Xuan-Tung NGUYEN, Minh Van NGO

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Landslide dynamic hazard prediction based on precipitation variation trend and backpropagation neural network by Ruixuan Huang, Bin Zeng, Dong Ai, Jingjing Yuan, Huiyuan Xu

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Hybrid AI for Predictive Cyber Risk Assessment: Federated Graph-Transformer Architecture With Explainability by Jaime Govea, Rommel Gutierrez, William Villegas-Ch, Alexandra Maldonado Navarro

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Prediction of alkali-silica reaction expansion of concrete using explainable machine learning methods by Yasitha Alahakoon, Hirushan Sajindra, Ashen Krishantha, Janaka Alawatugoda, Imesh U. Ekanayake, Upaka Rathnayake

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An extreme forecast index-driven runoff prediction approach using stacking ensemble learning by Zhiyuan Leng, Lu Chen, Binlin Yang, Siming Li, Bin Yi

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Enhancing market trend prediction using convolutional neural networks on Japanese candlestick patterns by Edrees Ramadan Mersal, Kürşat Mustafa Karaoğlan, Hakan Kutucu

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Combining semiparametric and machine learning approaches for short-term prediction of satellite clock bias by Lihong Jin, Wanzhuo Zhao, Xiong Pan, Qingsong Ai, Mao Cai, Xiaoli Ruan

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Fatigue Load Prediction of Wind Turbine Drive Train Based on CNN-BiLSTM by Xiaodong WANG, Qing LI, Deyi FU, Yingming LIU, Ruojin WANG

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Combining radiomics and deep learning to predict liver metastasis of gastric cancer on CT image by Yimin Guo, Yimin Guo, Haixiang Yin, Haixiang Yin, Hanyue Zhang, Hanyue Zhang, Pan Liang, Pan Liang, Jianbo Gao, Jianbo Gao, Ming Cheng, Ming Cheng

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Prediction of Myocardial Infarction Based on Non-ECG Sleep Data Combined With Domain Knowledge by Changyun Li, Yonghan Zhao, Qihui Mo, Zhibing Wang, Xi Xu

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A method of fatigue life prediction for rubber materials based on convolutional neural network by Jiao Li, Qi Li, Feng Wang, Liuxiangzi Yang, Mingshan Lou

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Kolmogorov–Arnold Networks for Interpretable Crop Yield Prediction Across the U.S. Corn Belt by Mustafa Serkan Isik, Ozan Ozturk, Mehmet Furkan Celik

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Advancing Enzyme-Based Detoxification Prediction with ToxZyme: An Ensemble Machine Learning Approach by Kashif Iqbal Sahibzada, Shumaila Shahid, Mohsina Akhter, Muhammad Faisal, Reham A. Abd El Rahman, Muhammad Imran, Yangyong Lv, Dongqing Wei, Yuansen Hu

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Efficacy of POSSUM and P-POSSUM Scoring Systems in Predicting Outcomes of Emergency Gastrointestinal Surgeries by Akarsh Bullagan, Atul Jain, Suhas Agarwal, Vaishali Saxena, Tanweer Karim, Sumit Chakravarti

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