Predicting Student Loyalty in Higher Education Using Machine Learning: A Random Forest Approach by Qoriani Widayati, Kusworo Adi, R Rizal Isnanto, Eka Puji Agustini, Dewa Rizki Rahmat Julianto, Fawwaz Bimo Prakasa

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Automated Loudness Growth Prediction From EEG Signals Using Autoencoder and Multi-Target Regression by D. Rama Harshita, Nitya Tiwari, Himanshu Padole, K. S. Nataraj

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Machine-learning prediction for hospital length of stay using a French medico-administrative database by Franck Jaotombo, Vanessa Pauly, Guillaume Fond, Veronica Orleans, Pascal Auquier, Badih Ghattas, Laurent Boyer

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Multiparametric MRI-based radiomics for preoperative prediction of parametrial invasion in early-stage cervical cancer by Chongshuang Yang, Man Li, Xin Yi, Lin Wang, Guangxian Kuang, Chunfang Zhang, Benyong Yao, Zhihong Qin, Tianliang Shi, Qiang Jiang

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Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired Pneumonia by Irina A. Ruslyakova, Elvina Z. Shamsutdinova, Galina A. Mityuchenko, Alexandra O. Orlova, Elena B. Avalueva

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Development and Validation of Quantile Regression Forests for Prediction of Reference Quantiles in Handgrip and Chair‐Stand Test by Giulia Giordano, Luca Mastrantoni, Francesco Landi, The Lookup 8+ Study Group

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The EZ-ALBI and PALBI scores contribute to the clinical application of ALBI in predicting postoperative recurrence of HCC by Tao Sun, Xiangkun Wang, Guangcan Zhu, Jinfu Zhang, Juan Huang, Renfeng Li, Xinguang Qiu

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Role of thromboelastography in predicting stroke risk after endovascular treatment for symptomatic intracranial atherosclerotic stenosis by Bo Zhou, Haozhi Gong, Jiazheng Li, Jinjian Yang, Bin Yang, Peng Gao, Yanfei Chen, Yabing Wang, Jian Chen, Fei Chen, Tao Wang, Liqun Jiao

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Predictive Factors and Nomogram for 30-Day Mortality in Heatstroke Patients: A Retrospective Cohort Study by Anxin Li, Yuchen Zhang, Xiaoshi Zhang, Zixiao Duan, Yan Chen, Xiaoyan Jiang, Wuquan Deng

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Nomogram based on tumor burden score for prediction of prognosis of patients with hepatocellular carcinoma before hepatectomy by Qianru Xiao, Zhengqing Lei, Anfeng Si, Xuewu Tang, Facai Yang, Weihu Ma, Cheng Chi, Qiushi Yu, Yigang He, Haolan Tang, Tianhang Su, Fangyuan Hu, Jianning Lu, Youheng Yu, Ziqi Liu, Pinghua Yang, Zhangjun Cheng

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Shoreline Change Sensitivity in The Kocasu Stream Delta and The Future (2033 and 2043) Shore Change Predictions by Sultan Murat Uzun

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Machine learning approaches for predicting the structural number of flexible pavements based on subgrade soil properties by Asadullah Ziar

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Development of a standardized data collection and intelligent fabric quality prediction system for the weaving department by Ning Dai, Lunjun Li, Kaixin Xu, Zhehao Lu, Xudong Hu, Yanhong Yuan

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Design and prediction of high optical density photovoltaic polymers using machine learning-DFT studies by Aljaafreh Mamduh J., Hassan Abrar U.

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Material Mechanical Properties Prediction of Layer with Multidirectional Fiber Ply Reinforced Polymer Matrix Composites by Md Mehadi Hassan, Abu Siddique, Brandon Bohanon

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Contact fatigue limit prediction method for heavy-duty gears considering hardness gradient characteristics by Boyu Zhang, Yongyong He, Zhengwei Wang

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Proposal of a weather-based prediction system for Yellow Sigatoka in Santa Catarina State, Brazil by Mauro Ferreira Bonfim Junior, Álvaro José Back, Márcio Sônego, Joelma Miszinski, André Boldrin Beltrame

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Predictive Analytics for Sucker Rod Pump Failures in Kazakhstani Oil Wells Using Machine Learning by Laura Utemissova, Timur Merembayev, Bakbergen Bekbau, Sagyn Omirbekov

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Predicting TF–Target Gene Association Using a Heterogeneous Network and Enhanced Negative Sampling by Thanh Tuoi Le, Xuan Tho Dang

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Tensile Strength Prediction of Empty Palm Oil Bunch Fiber Composite with Artificial Neural Network by Hery Tri Waloyo, Agus Mujianto, Richie Feriyanto

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