Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients by Aref Andishgar, Sina Bazmi, Kamran B. Lankarani, Seyed Alireza Taghavi, Mohammad Hadi Imanieh, Gholamreza Sivandzadeh, Samira Saeian, Nazanin Dadashpour, Alireza Shamsaeefar, Mahdi Ravankhah, Hamed Nikoupour Deylami, Reza Tabrizi, Mohammad Hossein Imanieh

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Predictive modelling of hexagonal boron nitride nanosheets yield through machine and deep learning: An ultrasonic exfoliation parametric evaluation by Jerrin Joy Varughese, Sreekanth M․S․

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An explainable predictive machine learning model of gangrenous cholecystitis based on clinical data: a retrospective single center study by Ying Ma, Man Luo, Guoxin Guan, Xingming Liu, Xingye Cui, Fuwen Luo

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Machine-Learning-Powered Information Systems: A Systematic Literature Review for Developing Multi-Objective Healthcare Management by Maryam Bagheri, Mohsen Bagheritabar, Sohila Alizadeh, Mohammad (Sam) Salemizadeh Parizi, Parisa Matoufinia, Yang Luo

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Establishment and Validation of a Machine‐Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra‐Abdominal Candidiasis in Septic Patients by Jiahui Zhang, Wei Cheng, Dongkai Li, Guoyu Zhao, Xianli Lei, Na Cui

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Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer by Lin Ni, Lin Ni, He Li, Yanqi Cui, Wanqiu Xiong, Shuming Chen, Hancong Huang, Zhiwei Wang, Hu Zhao, Hu Zhao, Hu Zhao, Bing Wang, Bing Wang, Bing Wang

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FoxA1 knockdown promotes BMSC osteogenesis in part by activating the ERK1/2 signaling pathway and preventing ovariectomy-induced bone loss by Lijun Li, Renjin Lin, Yang Xu, Lingdi Li, Zhijun Pan, Jian Huang

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Automated skin lesion detection and prevalence estimation in Tamanend's bottlenose dolphins by Colin J. Murphy, Melissa A. Collier, Ann-Marie Jacoby, Eric M. Patterson, Megan M. Wallen, Janet Mann, Shweta Bansal

Subjects: “…Machine learning…”
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Improvement of rock surface roughness accuracy by combining object space resolution error and 3D point cloud features by Jiang Yuan, Qing Wang, Qinzheng Yang, Yongqiang Fan, Weining Jiao

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An improved soft voting-based machine learning technique to detect breast cancer utilizing effective feature selection and SMOTE-ENN class balancing by Indu Chhillar, Ajmer Singh

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A graph backdoor detection method for data collection scenarios by Xiaogang Xing, Ming Xu, Yujing Bai, Dongdong Yang

Subjects: “…Machine learning…”
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Fault Detection and Diagnosis in Industry 4.0: A Review on Challenges and Opportunities by Denis Leite, Emmanuel Andrade, Diego Rativa, Alexandre M. A. Maciel

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Rethinking the measurements and predictors of environmental degradation in Ethiopia: Predicting long-term impacts using a kernel-based machine learning approach by Tesfaye Etensa, Tekie Alemu, Mengesha Yayo

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Optimizing survey conditions for Burmese python detection and removal using community science data by Kelly R. McCaffrey, Melissa A. Miller, Sergio A. Balaguera-Reina, Alexander S. Romer, Michael Kirkland, Amy Peters, Edward F. Metzger, LeRoy Rodgers, Frank J. Mazzotti

Subjects: “…Machine learning…”
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A Survey on Machine Learning Techniques in Smart Grids Based on Wireless Sensor Networks by Ashraf M. Etman, Mohamed S. Abdalzaher, Ahmed A. Emran, Ahmed Yahya, Mostafa Shaaban

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Hypotension prediction index for minimising intraoperative hypotension: A systematic review and meta-analysis of randomised controlled trials by Kamath Sriganesh, Thomas Francis, Rajeeb Kumar Mishra, Nisarga N Prasad, Dhritiman Chakrabarti

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A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease by Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, Fatima Amounas

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Study on the Forecasting of Internal Solitary Wave Propagation in the Andaman Sea Using Joint Ascending-Descending Orbit Sentinel-1A Data and Machine Learning by Zexiang Cao, Junmin Meng, Jing Wang, Lina Sun, Hao Zhang

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A comprehensive analysis of advanced solar panel productivity and efficiency through numerical models and emotional neural networks by Ali Basem, Serikzhan Opakhai, Zakaria Mohamed Salem Elbarbary, Farruh Atamurotov, Natei Ermias Benti

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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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