Analysis of the Accuracy of a Body-Force Propeller Model and a Discretized Propeller Model in RANS Simulations of the Flow Around a Maneuvering Ship by Long Jiang, Jianxi Yao, Zuyuan Liu

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CT-radiomics combined with inflammatory indicators for prediction of progression free survival of resectable esophageal squamous cell carcinoma by Yating Wang, Genji Bai, Min Huang, Wei Chen

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Least square predicted acoustic signal based smart accidental management using multi-criterion asynchronous classifier by Rajesh Yadav, Pankaj Agarwal

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Optimizing Metro Passenger Flow Prediction: Integrating Machine Learning and Time-Series Analysis with Multimodal Data Fusion by Li Wan, Wenzhi Cheng, Jie Yang

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Mito-fission gene prognostic model for colorectal cancer by Chao Liu, Sheng Xu, Yuanyuan Liu, Zhixing Lu, Jianrong Yang

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DAT: Deep Learning-Based Acceleration-Aware Trajectory Forecasting by Ali Asghar Sharifi, Ali Zoljodi, Masoud Daneshtalab

“…This advancement highlights the critical role of incorporating acceleration data into predictive models, representing a substantial step forward in the development of safer autonomous driving systems.…”
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Predicting Imminent Conversion to Exudative Age-Related Macular Degeneration Using Multimodal Data and Ensemble Machine Learning by T.Y.Alvin Liu, MD, Yuxuan Liu, MS, Madeleine S. Gastonguay, BS, Dan Midgett, PhD, Nathanael Kuo, PhD, Yujie Zhao, Kareef Ullah, Gwyneth Alexander, Todd Hartman, Neslihan D. Koseoglu, MD, Craig Jones, PhD

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Tropical cyclone track prediction harnessing deep learning algorithms: A comparative study on the Northern Indian Ocean by Sabbir Rahman, M. Fahim Faisal, Prianka Mondal, Md. Mahfuzur Rahman

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Machine Learning Method for TOC Prediction: Taking Wufeng and Longmaxi Shales in the Sichuan Basin, Southwest China as an Example by Jia Rong, Zongyuan Zheng, Xiaorong Luo, Chao Li, Yuping Li, Xiangfeng Wei, Quanchao Wei, Guangchun Yu, Likuan Zhang, Yuhong Lei

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Integrative multimodal ultrasound and radiomics for early prediction of neoadjuvant therapy response in breast cancer: a clinical study by Siyu Wang, Jingyan Liu, Linlin Song, Haina Zhao, Xue Wan, Yulan Peng

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Prediction of prognosis in acute ischemic stroke after mechanical thrombectomy based on multimodal MRI radiomics and deep learning by Lei Pei, Xiaowei Han, Chenfeng Ni, Junli Ke

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Electric vehicle charging load prediction method based on multi-objective modal decomposition and NAHL neural network by GUO Xinzhe, WANG Yeqin, WANG Chao, WU Mingjiang, YANG Yan, ZHANG Chu

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The prediction method for ground surface settlement of pipe jacking tunnels based on a spatiotemporal transfer learning network by Hairong Huang, Lian Yuan, Jian Chen, Shixia Zhang

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Development and assessment of an early diagnostic approach for painful diabetic peripheral neuropathy using basic clinical and laboratory parameters by Yue Yang, Lu Liu, Hui-Hui Wang, Yan Lu, Jiang-Ping Li, Ping Liu, Zi-Cheng Hu, Xiao Yang

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Prediction of clinical outcome for high-intensity focused ultrasound ablation of adenomyosis based on non-enhanced MRI radiomics by Ziyi Liu, Ziyan Liu, Xiyao Wan, Yuan Wang, Xiaohua Huang

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Reaeration Coefficient Empirical Equation Selection for Water Quality Modeling in Surface Waterbodies: An Integrated Numerical-Modeling-Based Technique with Field Case Study by Balsam J. M. Al-Saadi, Hussein A. M. Al-Zubaidi

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Intelligent classification and prediction of students’ mental health in online learning environments using boosting algorithm and LIWC features by Xiaomin Xu, Tianrong Zhang

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Graph neural networks-based prediction of drug gene association of P2X receptors in periodontal pain by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Seyed Ali Mosaddad, Artak Heboyan

“…Despite achieving a 65 percent accuracy rate, the GNN model demonstrated suboptimal predictive power for gene-drug interactions associated with oral pain. …”
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Prediction of clinical stages of cervical cancer via machine learning integrated with clinical features and ultrasound-based radiomics by Maochun Zhang, Qing Zhang, Xueying Wang, Xiaoli Peng, Jiao Chen, Hanfeng Yang

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Preoperative CT-based radiomics nomogram to predict the micropapillary pattern in lung adenocarcinoma of size 2 cm or less by Xiaoyu Pan, Liang Fu, Jiecai Lv, Lijuan Feng, Kai Li, Siqi Chen, Xi Deng, Liling Long

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