Prediction of Expected Fouling Time During Transmembrane Transition in Reverse Osmosis Systems by Jozsef Lakner, Gabor Lakner

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Integration of RSM and Machine Learning for Accurate Prediction of Surface Roughness in Laser Processing by Dragan Rodić, Milenko Sekulić, Borislav Savković, Miloš Madić, Milan Trifunović

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Research on an efficient prediction for deformations of thread connections based on deep transfer learning by Zhao Liu, Zeyu Qi, Hao Lu, Yan Liu, Jintao Fan, Xuefeng Wang, Caishan Liu

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Application of machine learning for predicting the incubation period of water droplet erosion in metals by Khaled AlHammad, Mamoun Medraj, Moussa Tembely

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A comparison of modeling approaches for static and dynamic prediction of central line-associated bloodstream infections using electronic health records (part 2): random forest mode... by Elena Albu, Shan Gao, Pieter Stijnen, Frank E Rademakers, Christel Janssens, Veerle Cossey, Yves Debaveye, Laure Wynants, Ben Van Calster

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Enhancing survival predictions in lung cancer with cystic airspaces: a multimodal approach combining clinical and radiomic features by Liang Yin, Jing Wang, Pingyou Fu, Lu Xing, Yuan Liu, Zongchang Li, Jie Gan

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Cost-effectiveness of risk model-based lung cancer screening in smokers and nonsmokers in China by Tiantian Zhang, Yue Wang, Xuechen Chen, Xueer Yang, Leyao Zhang, Nagham Bazzi, Ling Bai, Aaron Finley, Jie Jiang, Jianxing He, Wenhua Liang

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Accurate multi-category student performance forecasting at early stages of online education using neural networks by Naveed Ur Rehman Junejo, Muhammad Wasim Nawaz, Qingsheng Huang, Xiaoqing Dong, Chang Wang, Gengzhong Zheng

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Predictive value of the combined DTI-ALPS index and serum creatinine levels in mild cognitive impairment in Parkinson’s disease by Yuanhao Gao, Yuxin Li, Niu Ji, Pin Meng, Qing Hu, Yumei Chen, Xinying Guan, Xinying Guan, Bingchao Xu, Bingchao Xu

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Predictive study of machine learning combined with serum Neuregulin 4 levels for hyperthyroidism in type II diabetes mellitus by Huilan Gu, Ye Lu

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Predicting Water Distribution and Optimizing Irrigation Management in Turfgrass Rootzones Using HYDRUS-2D by Jan Cordel, Ruediger Anlauf, Wolfgang Prämaßing, Gabriele Broll

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External validation of a prediction model for disability and pain after lumbar disc herniation surgery: a prospective international registry-based cohort study by Allan Abbott, Casper Friis Pedersen, Henrik Hedevik, Catharina Parai, Martin A Gorosito, Mikkel Andersen, Tor Ingebrigtsen, Tore K Solberg, Margreth Grotle, Bjørnar Berg

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Development of Comprehensive Predictive Models for Evaluating Böhme Abrasion Value (BAV) of Dimension Stones Using Non-Destructive Testing Methods by Ekin Köken

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Finding a suitable chest x-ray image size for the process of Machine learning to build a model for predicting Pneumonia by Kriengsak Yothapakdee, Yosawaj Pugtao, Sarawoot Charoenkhun, Tanunchai Boonnuk, Kreangsak Tamee

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Modeling of Global and Individual Kinetic Parameters in Wheat Straw Torrefaction: Particle Swarm Optimization and Its Impact on Elemental Composition Prediction by Ismael Urbina-Salas, David Granados-Lieberman, Martín Valtierra-Rodríguez, Claudia Adriana Ramírez-Valdespino, David Aarón Rodríguez-Alejandro

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Construction of a prediction model for peripheral lymph node metastasis in patients with colorectal cancer based on enhanced CT texture features by Feng Tong, Longfei Zhang, Xiaobin Jiang, Zhenyu Wu

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Predictive factors and risk model for depression in patients with type 2 diabetes mellitus: a comprehensive analysis of comorbidities and clinical indicators by Chengzheng Duan, Cheng Luo, Weifeng Jiang, Hui Xu, Yexing Chen, Shiyu Xu, Xiaofang Zhang, Xiaoli Chen, Dongjuan He

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Multiple automated machine-learning prediction models for postoperative reintubation in patients with acute aortic dissection: a multicenter cohort study by Shuyu Wen, Chao Zhang, Junwei Zhang, Ying Zhou, Yin Xu, Minghui Xie, Jinchi Zhang, Zhu Zeng, Long Wu, Weihua Qiao, Xingjian Hu, Xingjian Hu, Nianguo Dong, Nianguo Dong

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Development of a Predictive Model of Occult Cancer After a Venous Thromboembolism Event Using Machine Learning: The CLOVER Study by Anabel Franco-Moreno, Elena Madroñal-Cerezo, Cristina Lucía de Ancos-Aracil, Ana Isabel Farfán-Sedano, Nuria Muñoz-Rivas, José Bascuñana Morejón-Girón, José Manuel Ruiz-Giardín, Federico Álvarez-Rodríguez, Jesús Prada-Alonso, Yvonne Gala-García, Miguel Ángel Casado-Suela, Ana Bustamante-Fermosel, Nuria Alfaro-Fernández, Juan Torres-Macho

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Radiomic-based models are able to predict the pathologic response to different neoadjuvant chemotherapy regimens in patients with gastric and gastroesophageal cancer: a cohort stud... by Annamaria Agnes, Luca Boldrini, Federica Perillo, Huong Elena Tran, Maria Gabriella Brizi, Riccardo Ricci, Jacopo Lenkowicz, Claudio Votta, Alberto Biondi, Riccardo Manfredi, Vincenzo Valentini, Domenico M. D’Ugo, Roberto Persiani

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