Current Situation and Developing Trend of Fatigue Life Prediction of Components based on Data-driven by Xiuhua Zhang, Huaiju Liu, Caichao Zhu, Peitang Wei, Shaojie Wu

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A multi-objective, multi-interpretable machine learning demonstration verified by domain knowledge for ductile thermoelectric materials by Xiangdong Wang, Yan Cao, Jialin Ji, Ye Sheng, Jiong Yang, Xuezhi Ke

Subjects: “…multi-interpretable machine learning…”
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Predicting autoimmune thyroiditis in primary Sjogren’s syndrome patients using a random forest classifier: a retrospective study by Jia-yun Wu, Jing-yu Zhang, Wen-qi Xia, Yue-ning Kang, Ru-yi Liao, Yu-ling Chen, Xiao-min Li, Ya Wen, Fan-xuan Meng, Li-ling Xu, Sheng-hui Wen, Hui-fen Liu, Yuan-qing Li, Jie-ruo Gu, Qing Lv, Yong Ren

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Machine learning techniques for independent gait recovery prediction in acute anterior circulation ischemic stroke by Jiangping Ma, Yuanjie Xie

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Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran by Reza Shakeri, Hossein Amini, Farshid Fakheri, Man Yue Lam, Banafsheh Zahraie

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Exploring the Potential of Neural Networks to Predict Statistics of Solar Wind Turbulence by Daniel Wrench, Tulasi N. Parashar, Ritesh K. Singh, Marcus Frean, Ramesh Rayudu

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Development and Validation of a Machine Learning Model for the Prediction of Bloodstream Infections in Patients with Hematological Malignancies and Febrile Neutropenia by Antonio Gallardo-Pizarro, Christian Teijón-Lumbreras, Patricia Monzo-Gallo, Tommaso Francesco Aiello, Mariana Chumbita, Olivier Peyrony, Emmanuelle Gras, Cristina Pitart, Josep Mensa, Jordi Esteve, Alex Soriano, Carolina Garcia-Vidal

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Machine learning for QoS and security enhancement of RPL in IoT-Enabled wireless sensors by Abubakar Wakili, Sara Bakkali, Ahmed El Hilali Alaoui

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Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets by Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

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Study of machine learning techniques for outcome assessment of leptospirosis patients by Andreia Ferreira da Silva, Karla Figueiredo, Igor W. S. Falcão, Fernando A. R. Costa, Marcos César da Rocha Seruffo, Carla Cristina Guimarães de Moraes

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Prediction of elastic modulus, yield strength, and tensile strength in biocompatible titanium alloys by Marković G., Ružić J., Sokić M., Milojkov D., Manojlović V.D.

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Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer by Zhichao Wang, Yan Hu, Jun Cai, Jinyuan Xie, Chao Li, Xiandong Wu, Jingjing Li, Haifeng Luo, Chuchu He

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Blockchain-enabled digital twin system for brain stroke prediction by Venkatesh Upadrista, Sajid Nazir, Huaglory Tianfield

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Machine Learning Approaches to Natural Fiber Composites: A Review of Methodologies and Applications by Sivasubramanian Palanisamy, Nadir Ayrilmis, Kumar Sureshkumar, Carlo Santulli, Tabrej Khan, Harri Junaedi, Tamer Ali Sebaey

Subjects: “…machine learning…”
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Predictive value of dendritic cell-related genes for prognosis and immunotherapy response in lung adenocarcinoma by Zihao Sun, Mengfei Hu, Xiaoning Huang, Minghan Song, Xiujing Chen, Jiaxin Bei, Yiguang Lin, Size Chen

Subjects: “…Machine learning…”
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Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning by Ke Qi

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Predicting egg production rate and egg weight of broiler breeders based on machine learning and Shapley additive explanations by Hengyi Ji, Yidan Xu, Ganghui Teng

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Identification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning by Tiantian Yu, Guiying Wang, Xia Xu, Jianying Yan

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Artificial Intelligence in Orthodontics: Concerns, Conjectures, and Ethical Dilemmas by Rosalia Leonardi, Nikhillesh Vaiid

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