Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

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Customized Fetal Body Mass Index as a Better Predictive Marker for Neonatal Nutritional Status by Juan Jesús Fernández Alba, María Castillo Lara, José Manuel Jiménez Heras, Jose Diego Santotoribio, Rocío Fuentes Morales, Francisco José Rosa Rubio, Carmen González Macías

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Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Karen Fiorella Aquino Gutierrez, Renato Cerqueira, Dmitry Zubarev, Kristin Schmidt, Daniel P Sanders

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Machine learning for post-diploma educational and career guidance: a scoping review in AI-driven decision support systems by Flavio Manganello, Elisa Rasca, Alberto Villa, Andrea Maddalena, Giannangelo Boccuzzi

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A comparative analysis of three risk assessment scales for predicting venous thromboembolism in traumatic brain injury patients by Dandan Zhang, Lingxiao He, Chaowei Ouyang, Yiyan Wang, Qian Ning, Dengbin Liao

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Development and validation of a predictive model for postoperative hypercoagulability in middle-aged and elderly patients undergoing total knee arthroplasty: a retrospective study by Junyan Liu, Haixiang Miao, Yuping Tao, Wen Yu, Jihang Dai

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A non-invasive nomogram for the prediction of poor prognosis of hepatocellular carcinoma based on the novel marker Interleukin-41 by Zihan Mu, Jiaojiao Su, Jiuhua Yi, Rui Fan, Jiayuan Yin, Yazhao Li, Bowen Yao

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Machine learning prediction and explanation of high intraoperative blood pressure variability for noncardiac surgery using preoperative factors by Zheng Zhang, Yi Duan, Zuozhi Li, Zhifeng Gao, Huan Zhang

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Evaluation and comparison of semi-empirical and numerical methods in predicting wave characteristics in the South Caspian Sea by zahra hajebi, adel amouzegar, Seyed Taghi Omid Naeeni

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Using nonlinear auto-regressive with exogenous input neural network (NNARX) in blood glucose prediction by Fayrouz Allam

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A python approach for prediction of physicochemical properties of anti-arrhythmia drugs using topological descriptors by Huiling Qin, Mudassar Rehman, Muhammad Farhan Hanif, Muhammad Yousaf Bhatti, Muhammad Kamran Siddiqui, Mohamed Abubakar Fiidow

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Mapping predicted ecological states at landscape scales using remote‐sensing data and machine learning by N. J. Kleist, C. T. Domschke, A. C. Knight, T. W. Nauman, M. C. Duniway, S. K. Carter

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Low-cycle fatigue life prediction method for stud connectors based on interpretable machine learning by Jianan Pan, Xiaoling Liu, Bing Wang, Ying Liu

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Integrating genetic and clinical data to predict lung cancer in patients with chronic obstructive pulmonary disease by Zhan Gu, Yonghui Wu, Fengzhi Yu, Jijia Sun, Lixin Wang

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Oral microbiome components predict response to neoadjuvant chemotherapy in triple-negative breast cancer patients by Xiaoyan Fu, Xiaoyan Fu, Ze Huang, Ze Huang, Zongyan Li, Zongyan Li, Zuxiao Chen, Zuxiao Chen, Zhijie Wu, Zhijie Wu, Qingyu Yang, Qingyu Yang, Haiyan Li, Haiyan Li

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A nomogram for predicting early bacterial infection after liver transplantation: a retrospective study by Jie Yu, Jie Yu, Jichang Jiang, Jichang Jiang, Caili Fan, Caili Fan, Jinlong Huo, Jinlong Huo, Tingting Luo, Tingting Luo, Lijin Zhao, Lijin Zhao

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Modeling radiologists’ cognitive processes using a digital gaze twin to enhance radiology training by Akash Awasthi, Anh Mai Vu, Ngan Le, Zhigang Deng, Supratik Maulik, Rishi Agrawal, Carol C. Wu, Hien Van Nguyen

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Integrating CT radiomics and clinical data with machine learning to predict fibrosis progression in coalworker pneumoconiosis by Xiaobing Li, Xiaobing Li, Xiaobing Li, Xiaobing Li, Xiaobing Li, Qian Li, Qian Li, Qian Li, Qian Li, Xinyi Xie, Wei Wang, Xuemei Li, Tingqiang Zhang, Tingqiang Zhang, Tingqiang Zhang, Tingqiang Zhang, Li Zhang, Li Zhang, Li Zhang, Li Zhang, Yongsheng Liu, Yongsheng Liu, Yongsheng Liu, Yongsheng Liu, Li Wang, Li Wang, Li Wang, Li Wang, Wutao Xie

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EVALUATION OF THE RELATIONSHIP BETWEEN SPRAY LIQUID PRESSURE AND MACHINE SPEED USING THREE TYPES OF NOZZLES ON A BOOM SPRAYER by G. Tihanov, G. Hristova, P. Veleva

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Machine learning as a tool for diagnostic and prognostic research in coronary artery disease by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

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