Predicting largest expected aftershock ground motions using automated machine learning (AutoML)-based scheme by Xiaohui Yu, Meng Wang, Chaolie Ning, Kun Ji

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DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules by Hongwei Du, Jiamin Wang, Jian Hui, Lanting Zhang, Hong Wang

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Exploring timely and safe discharge from ICU: a comparative study of machine learning predictions and clinical practices by Chao Ping Wu, Rachel Benish Shirley, Alex Milinovich, Kaiyin Liu, Eduardo Mireles-Cabodevila, Hassan Khouli, Abhijit Duggal, Anirban Bhattacharyya

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Dynamics of 4D supply chain system with fractal fractional derivatives insight of stability analysis and ANN prediction by Anum Zehra, Muhammad Farman, Talal Bonny, Aceng Sambas, Wafaa Al Nassan, Kottakkaran Sooppy Nisar, Betty Wan Niu Voon, Mohamed Hafez

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Artificial Neural Network for Air Pollutant Concentration Predictions Based on Aircraft Trajectories over Suvarnabhumi International Airport by Patcharin Kamsing, Chunxiang Cao, Wuttichai Boonpook, Sornkitja Boonprong, Min Xu, Pisit Boonsrimuang

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Early prediction of CKD from time series data using adaptive PSO optimized echo state networks by Thangadurai Anbazhagan, Balamurugan Rangaswamy

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Deep learning meets chest X-rays: a promising approach for predicting future compression fracture risk by Kai-Chieh Chen, Shan-Yueh Chang, Yuan-Ping Chao, Dung-Jang Tsai, Wei-Chou Chang, Yu-Shiou Weng, Chin Lin, Wen-Hui Fang

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Applying a multi-task and multi-instance framework to predict axillary lymph node metastases in breast cancer by Yizhi Li, Zonglin Chen, Ziyuan Ding, Danyang Mei, Zhenzhen Liu, Jia Wang, Kui Tang, Wenjun Yi, Yan Xu, Yixiong Liang, Yan Cheng

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A nomogram for predicting contralateral femoral head collapse after unilateral replacement of bilateral femoral head necrosis by Jiabo Zhu, Xin Sun, Liyan Zhang, Haitao Wang, Pengxiang Tang

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Nonparametric Probabilistic Prediction of Ultra-Short-Term Wind Power Based on MultiFusion–ChronoNet–AMC by Yan Yan, Yong Qian, Yan Zhou

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Predicting Pathologic Complete Response to Neoadjuvant Treatment in HER2-positive Breast Cancer using Interpretable Classification by Sergio Peñafiel, Esteban Ramírez, Nelson Baloian, Isabel Saffie, Paulo Luz, Inti Paredes

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The Application of Lite-GRU Embedding and VAE-Augmented Heterogeneous Graph Attention Network in Friend Link Prediction for LBSNs by Ziteng Yang, Boyu Li, Yong Wang, Aoxue Liu

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Machine learning approaches for predicting and validating mechanical properties of Mg rare earth alloys for light weight applications by Sandeep Jain, Ayan Bhowmik, Jaichan Lee

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A deep learning framework for virtual continuous glucose monitoring and glucose prediction based on life-log data by Min Hyuk Lim, Hyocheol Chae, Jeongwon Yoon, Insik Shin

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Multi-Condition Magnetic Core Loss Prediction and Magnetic Component Performance Optimization Based on Improved Deep Forest by Haotian Shi, Zipeng Jin

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Deep learning on T2WI to predict the muscle-invasive bladder cancer: a multi-center clinical study by Lingkai Cai, Xiao Yang, Jie Yu, Qiang Shao, Gongcheng Wang, Baorui Yuan, Juntao Zhuang, Kai Li, Qikai Wu, Peikun Liu, Ruixi Yu, Qiang Cao, Pengchao Li, Xueying Sun, Yuan Zou, Xue Fu, Xiangming Fang, Chunxiao Chen, Qiang Lu

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Machine learning prediction of HER2-low expression in breast cancers based on hematoxylin–eosin-stained slides by Jun Du, Jun Shi, Dongdong Sun, Yifei Wang, Guanfeng Liu, Jingru Chen, Wei Wang, Wenchao Zhou, Yushan Zheng, Haibo Wu

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The Prediction of Cerebral Palsy in Infants Using Pose Estimation Techniques Within a Hybrid Deep Learning Framework by Lama A. Alghamdi, Maryam A. Aldahri, Saja A. Alzahrani, Rowla A. Alaofi, Rawaf F. Nafea, Noura M. Alotaibi

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Predicting Patients’ Revisit Intention Based on Satisfaction Scores: Combination of Penalized Regression and Neural Networks by Farshid Abdi, Shaghayegh Abolmakarem, Amir Karbassi Yazdi, Paul Leger, Yong Tan, Giuliani Coluccio

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Research on an Intelligent Prediction Method for the Carbon Emissions of Prefabricated Buildings During the Construction Stage, Based on Modular Quantification by Yang Yang, Xiaodong Cai, Xinlong Ma, Gang Yao, Ting Lei, Hongbo Tan, Ying Wang

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