Delay Prediction Through Multi-Channel Traffic and Weather Scene Image: A Deep Learning-Based Method by Ligang Yuan, Linghua Kong, Haiyan Chen

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Numerical analysis and thermal fatigue life prediction of solder layer in a SiC-IGBT power module by Dianhao Zhang, Xiao-guang Huang, Bin-liang Cheng, Neng Zhang

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High-accuracy physical property prediction for pure organics via molecular representation learning: bridging data to discovery by Qi Ou, Hongshuai Wang, Minyang Zhuang, Shangqian Chen, Lele Liu, Ning Wang, Zhifeng Gao

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Agatha: Predicting Daily Activities from Place Visit History for Activity-Aware Mobile Services in Smart Cities by Byoungjip Kim, Seungwoo Kang, Jin-Young Ha, Junehwa Song

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Optimizing multi label student performance prediction with GNN-TINet: A contextual multidimensional deep learning framework. by Xiaoyi Zhang, Yakang Zhang, Angelina Lilac Chen, Manning Yu, Lihao Zhang

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Accelerating materials property prediction via a hybrid Transformer Graph framework that leverages four body interactions by Mohammad Madani, Valentina Lacivita, Yongwoo Shin, Anna Tarakanova

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Multi-modal radiomics features to predict overall survival of locally advanced esophageal cancer after definitive chemoradiotherapy by Nuo Yu, Yidong Wan, Lijing Zuo, Ying Cao, Dong Qu, Wenyang Liu, Lei Deng, Tao Zhang, Wenqing Wang, Jianyang Wang, Jima Lv, Zefen Xiao, Qinfu Feng, Zongmei Zhou, Nan Bi, Tianye Niu, Xin Wang

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MRI-based multiregional radiomics for preoperative prediction of Ki-67 expression in meningiomas: a two-center study by Ming Luo, Ming Luo, Guihan Lin, Duoning Chen, Duoning Chen, Weiyue Chen, Shuiwei Xia, Junguo Hui, Pengjun Chen, Minjiang Chen, Wangyang Ye, Wangyang Ye, Jiansong Ji

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Development and validation of a nomogram for predicting hemoptysis recurrence in cystic bronchiectasis patients following bronchial artery embolization by Yuxin Duan, Weifan Sui, Zefeng Cai, Yimao Xia, Jianyun Li, Jianhua Fu

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Multi‐Institutional MR‐Derived Radiomics to Predict Post‐Exenteration Disease Recurrence in Patients With T4 Rectal Cancer by Niall J. O'Sullivan, Fariba Tohidinezhad, Hugo C. Temperley, Mirac Ajredini, Bedirye Koyuncu Sokmen, Rumeysa Atabey, Leyla Ozer, Erman Aytac, Alison Corr, Alberto Traverso, James F. Meaney, Michael E. Kelly

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Predictive value of combined DCE-MRI perfusion parameters and clinical features nomogram for microsatellite instability in colorectal cancer by Leping Peng, Wenting Ma, Xiuling Zhang, Fan Zhang, Fang Ma, Kai Ai, Xiaomei Ma, Yingmei Jia, Hong Ou-Yang, Shengting Pei, Tao Wang, Yuanhui Zhu, Lili Wang

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Machine learning for cardio-oncology: predicting global longitudinal strain from conventional echocardiographic measurements in cancer patients by Tagayasu Anzai, Kenji Hirata, Ken Kato, Kohsuke Kudo

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Optimizing data-driven arctic marine forecasting: a comparative analysis of MariNet, FourCastNet, and PhyDNet by Aleksei V. Buinyi, Aleksei V. Buinyi, Dias A. Irishev, Edvard E. Nikulin, Aleksandr A. Evdokimov, Polina G. Ilyushina, Natalia A. Sukhikh, Natalia A. Sukhikh

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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm by Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang

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A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters by Hui Yu, Qiyue Mu, Zhi Wang, Yu Guo, Jing Zhao, Guangpu Wang, Qingsong Wang, Xianghong Meng, Xiaoman Dong, Shuo Wang, Jinglai Sun

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Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data by Jingyeong Jeong, Yoonseo Jeon, Hyungju Kim, Ji Won Yeom, Yu-Bin Shin, Sujin Kim, Seung Pil Pack, Heon-Jeong Lee, Taesu Cheong, Chul-Hyun Cho

“…This study aimed to propose a predictive machine learning model based on digital phenotypes for RLS diagnosis. …”
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Predictive Value of Ankle Fracture for Osteoporosis at the Fracture Liaison Service Is Dependent on Gender and May Be Related to Alcohol Use by James McMullan, Emeir McSorley, Rhonda Hunter, Denise Pattison, David Armstrong

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Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic network. by Itunuoluwa Isewon, Stephen Binaansim, Faith Adegoke, Jerry Emmanuel, Jelili Oyelade

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Spatial predictions of soil moisture across a longitudinal gradient in semiarid ecosystems using UAV and RGB sensors by Alexander Hernandez, Efrain Duarte, Peter Porter, Holden Brecht

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Wind Tunnel Process Mach Number Prediction Based on Modal, Stage, and Intra-Stages Three-Layer Partitioning by Haixuan Yuan, Jin Guo, Wenshan Yu, Luping Zhao

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