Prediction of Aerosol Particle Size Distribution Based on Neural Network by Yali Ren, Jiandong Mao, Hu Zhao, Chunyan Zhou, Xin Gong, Zhimin Rao, Qiang Wang, Yi Zhang

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Explainable machine learning for predicting lung metastasis of colorectal cancer by Zhentian Guo, Zongming Zhang, Limin Liu, Yue Zhao, Zhuo Liu, Chong Zhang, Hui Qi, Jinqiu Feng, Peijie Yao

“…Therefore, establishing an effective screening and diagnosis model is paramount. Our study seeks to construct and verify a predictive model utilizing machine learning (ML) that can evaluate the risk of lung metastasis with newly diagnosed colorectal cancer (CRC) using Shapley Additive exPlanations (SHAP). …”
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Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective by Elham Tabrizi, Mohadeseh Farzammehr

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Optimal management of the acquiring and evaluating the competencies process of university students by G. A. Dorrer, A. G. Dorrer, G. M. Rudakova

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Monitoring and Prediction Analysis of Settlement for the Substation on Soft Clay Foundation by Qingwei Chen, Zhen Yang, Binglei Xue, Zhipeng Wang, Dan Xie

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Robust asphaltene onset pressure prediction using ensemble learning by Jafar Khalighi, Alexey Cheremisin

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Prediction of Three-Dimensional Milling Forces Based on Finite Element by Lida Zhu, Chunxia Zhu, Jiaying Pei, Xuebing Li, Wei Wang

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Deformation prediction in innovative implant design with machine learning approaches by Mehmet Onur Yağır, Muhammed Fatih Pekşen, Şaduman Şen, Uğur Şen

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The prediction of student wellbeing and flourishing from university learning experiences by Yue Zhao, Yunqing Hua

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Tropical Cyclone Size Prediction and Development of An Error Correction Method by Guo Ruichen, Xu Jing, Wang Yuqing

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PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems by Georgina Mace, Jorn P. W. Scharlemann, Drew W. Purves, Lawrence Hudson, Tim Newbold, Andy Purvis

“…<p>The PREDICTS project (<a href="http://www.predicts.org.uk/">www.predicts.org.uk</a>) is a three-year NERC-funded project to model and predict at a global scale how local terrestrial diversity responds to human pressures such as land use, land cover, pollution, invasive species and infrastructure. …”
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Predicting future evapotranspiration based on remote sensing and deep learning by Xin Zheng, Sha Zhang, Shanshan Yang, Jiaojiao Huang, Xianye Meng, Jiahua Zhang, Yun Bai

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Prediction of Rock Damage Depth Using Blasting Vibration Monitoring by Defeng Hou, Fuming Liu, Zhiyong Yang, Haoyu Guo, Ting Zuo

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Safety-critical nonlinear optimal predictive control with adaptive error elimination algorithm for robotic system by Wang Helin

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Skills Prediction for the South African Food and Beverages Manufacturing Sector by Megashnee Munsamy, Arnesh Telukdarie

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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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Balanced Adversarial Tight Matching for Cross-Project Defect Prediction by Siyu Jiang, Jiapeng Zhang, Feng Guo, Teng Ouyang, Jing Li

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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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Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making by Milos Pavlovic, Cedomir Gligoric, Filip Zdravkovic, Danijela Pavlovic

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Integrating Dimensional Analysis and Machine Learning for Predictive Maintenance of Francis Turbines in Sediment-Laden Flow by Álvaro Ospina, Ever Herrera Ríos, Jaime Jaramillo, Camilo A. Franco, Esteban A. Taborda, Farid B. Cortes

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