Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes. by Deborah Kunkel, Peter Sørensen, Vijay Shankar, Fabio Morgante

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Prediction of water inrush from coal seam floor based on machine learning with small sample data by Chenxi LI, Haifeng LU

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Remaining Useful Life (RUL) Prediction Based on the Bivariant Two-Phase Nonlinear Wiener Degradation Process by Lijun Sun, Yuying Liang, Zaizai Yan

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Integration of clinical and serological biomarkers in a nomogram for predicting interstitial lung disease in idiopathic inflammatory myopathies by Zhixia Wang, Jingyun Zhang, Jin Li, Xiaona Mao, Yangyang Li, Dekun Wang, Wenpeng Ge, Jingzhan Li, Changhua Liang, Zhiqiang Zhang

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Application of Vis/NIR Spectroscopy in the Rapid and Non-Destructive Prediction of Soluble Solid Content in Milk Jujubes by Yinhai Yang, Shibang Ma, Feiyang Qi, Feiyue Wang, Hubo Xu

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Method and experimental verification of spatial attitude prediction for an advanced hydraulic support system under mining influence by Zhuang Yin, Kun Zhang, ZengBao Zhang, Hongyue Chen, Lingyu Meng, Zhen Wang, Mingchao Du, Xiangpeng Hu, Defu Zhao, Dan Tian

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An approach to predicting linear trends in tagging-related mortality and tag loss during mark-recapture studies by Jasper McCutcheon, Brendan Campbell, Rileigh E. Hudock, Noah Motz, Madison Windsor, Aaron Carlisle, Edward Hale, Edward Hale

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Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data by Jember Azanaw, Mihret Melese, Eshetu Abera Worede

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Predicting the compressive strength of concrete incorporating waste powders exposed to elevated temperatures utilizing machine learning by Islam N. Fathy, Hany A. Dahish, Mohammed K. Alkharisi, Alaa A. Mahmoud, Hala Emad Elden Fouad

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Initial production prediction for horizontal wells in tight sandstone gas reservoirs based on data-driven methods by Jian Sun, Jianwen Gao, Kang Tang, Long Ren, Yanjun Zhang, Zhipeng Miao, Zhe Zhang

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Deep learning predicts HER2 status in invasive breast cancer from multimodal ultrasound and MRI by Yuhong Fan, Kaixiang Sun, Yao Xiao, Peng Zhong, Yun Meng, Yang Yang, Zhenwei Du, Jingqin Fang

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Developing a decision support tool to predict delayed discharge from hospitals using machine learning by Mahsa Pahlevani, Enayat Rajabi, Majid Taghavi, Peter VanBerkel

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Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma by Linyan Chen, Yang Li, Zhiyuan Zhang, Tongshu Yang, Hao Zeng

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Clinical prediction study on the risk of atrial fibrillation in hypertensive patients based on metabolism, inflammation, and gender differences by Kangming Li, Ya’nan Hu, Jing Wang, Chunmei Qi

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Facial Beauty Prediction Combining Dual-Branch Feature Fusion With a Stacked Broad Learning System by Junying Gan, Hantian Chen, Wenchao Xu, Huicong Li, Zhenxin Zhuang, Zhen Chen

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Transfer learning-enhanced physics informed neural network for accurate melt pool prediction in laser melting by Qingyun Zhu, Zhengxin Lu, Yaowu Hu

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Short-Term Power Prediction for Wind Farm and Solar Plant Clusters Based on Machine Learning Method by Yang CUI, Zhenghong CHEN, Peihua XU

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The Application of Support Vector Machine (SVM) in Industrial Carbon Accounting Prediction and Green Electricity Control Strategies by Xu Shasha, Wu Haipeng, Luo Junting, Chen Jian, Jia Huihan

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Preliminary Prediction of the Increase in Flood Hazard from Wind Surges for the City of Elbląg Due to Climate Change by Michał Szydłowski, Abdata Wakjira Galata, Khansa Gulshad

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Leveraging explainable multi-scale features for fine-grained circRNA-miRNA interaction prediction by Li Peng, Wang Wang, Zongyi Yang, Xiangzheng Fu, Wei Liang, Dongsheng Cao

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