Analytical Method for Predicting Wear Life of Angular Contact Ball Bearings Under Variable Loading Based on Mixed Lubrication by Xiaoyan Mu, Gong Cheng, Shaojiang Dong, Liang Yi, Hongliang Liu

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MRI-based habitat imaging predicts high-risk molecular subtypes and early risk assessment of lower-grade gliomas by Xiangli Yang, Wenju Niu, Kai Wu, Guoqiang Yang, Hui Zhang

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Using baseline MRI radiomics to predict the tumor shrinkage patterns in HR-Positive, HER2-Negative Breast Cancer by Lijia Wang, Yongchen Wang, Li Yang, Jialiang Ren, Qian Xu, Yingmin Zhai, Tao Zhou

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Machine learning for prediction of Helicobacter pylori infection based on basic health examination data in adults: a retrospective study by Qiaoli Wang, Tao Liang, Yuexi Li, Peng Zhou, Xiaoqin Liu

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Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

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A nomogram for predicting neonatal acute respiratory distress syndrome in patients with neonatal pneumonia after 34 weeks of gestation by Aosong Yu, Huanhuan Hou, Huanhuan Hou, Lingyi Ran, Xiaojia Sun, Wanchun Xin, Tong Feng

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Synergistic H&E and IHC image analysis by AI predicts cancer biomarkers and survival outcomes in colorectal and breast cancer by Yating Cheng, Norsang Lama, Ming Chen, Eghbal Amidi, Mohammadreza Ramzanpour, Md Ashequr Rahman, Joanne Xiu, Anthony Helmstetter, Lauren Dickman, Jennifer R. Ribeiro, Hassan Ghani, Matthew Oberley, David Spetzler, George W. Sledge

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Prediction of Chlorophyll-a Concentration Distribution Using Generative Adversarial Network (GAN) Algorithm on Processed Remote Sensing Images by Wattaqwa Amira Zul’Ilmi, Jaya Indra, Iqbal Muhammad

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Multi-Source Data-Driven Local-Global Dynamic Multi-Graph Convolutional Network for Bike-Sharing Demands Prediction by Juan Chen, Rui Huang

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Sex differences in predicting dyslipidemia using polygenic risk score with fatty liver index and fibrotic nonalcoholic steatohepatitis index by Sei Kim, Hae Young Yoo

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Carbon Emission Scenario Modelling in Shanghai (Yangtze River Delta) by Shuzhou Jiang, Jingcao She, Dongsheng Li, Shuyang Wang, Juan Jiang, Bibo Li

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Therapy response prediction of focal cortex stimulation based on clinical parameters: a multicentre, non-interventional study protocol by Andreas Schulze-Bonhage, Ann Mertens, Felix von Podewils, Martin Hirsch, Yaroslav Winter, Susanne Knake, Ekaterina Pataraia, Thomas Mayer, Yvonne G Weber, Rainer Surges, Jan Wagner, Hajo M Hamer, Tim Wehner, Christoph Baumgartner, Lukas Imbach, Bernhard J Steinhoff, Sotirios Kalousios, Jürgen Hesser, Matthias Dümpelmann, Elisabeth Kaufmann, Josua Kegele, Georg Leonhardt, Carlos M Quesada, Berthold R Voges

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Potential Pathological, Clinical, and Symptomatic Findings of COVID-19 to Predict Mortality in Positive PCR Individuals Using Data Mining by Nasrin Talkhi, Nooshin Akbari sharak, Zahra Pasdar, Maryam Salari, Seyed Masoud Sadati, Mohammad Taghi Shakeri

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Performance Analysis and Reliability Prediction of Multi‐State Service Systems With Multiple Failure Modes of Unreliable Server: An Engineering Perspective by Shreekant Varshney, Mohit Bajaj, Kapil Kumar Choudhary, Mukesh Pushkarna, Ievgen Zaitsev

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Predicting the effect of thread density on the physical and thermal properties of plain-woven fabric by using a soft computing system by Shah Md. Maruf Hasan, Md. Kamrul Hassan Chowdhury, Shamima Akter Smriti, Elias Khalil, Mahmuda Akter, Kaniz Farhana

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Enhanced air quality prediction using adaptive residual Bi-LSTM with pyramid dilation and optimal weighted feature selection by R. Sudha, Ajith Damodaran, Gunaselvi Manohar

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Composite dietary antioxidant index and HPV infection from single and mixed associations to SHAP-interpreted machine learning predictions by Pei Zhang

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Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…These problems lead to frequent prediction errors and make the models difficult to implement in real-time trading systems. …”
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Predicting mechanical ventilation duration in ICU patients: A data-driven machine learning approach for clinical decision-making by Shivi Mendiratta, Vinay Gandhi Mukkelli, Esha Baidya Kayal, Puneet Khanna, Amit Mehndiratta

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Baseline [18F]FP-CIT PET-based deep learning prediction of levodopa-induced dyskinesia in Parkinson’s disease by Grace Yoojin Lee, Jongjun Won, Sunwoo Kim, Sungyang Jo, Jihyun Lee, Sangjin Lee, Jae Seung Kim, Changhwan Sung, Jungsu S. Oh, Jihwan Kim, Namkug Kim, Sun Ju Chung

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