High-resolution simulation and prediction of urban private vehicles energy consumption system: Agent-based modelling by Chuang Tu, Jiayi Liu, Jing Wang, Jing Bai, Guangwen Hu

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Maritime decarbonization through machine learning: A critical systematic review of fuel and power prediction models by Son Nguyen, Matthieu Gadel, Ke Wang, Jing Li, Xiaocai Zhang, Siang-Ching Kong, Xiuju Fu, Zheng Qin

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Early Prediction of Massive Transfusion for Patients With Traumatic Hemorrhage: Development of a Multivariable Machine Learning Model by Andrew J. Benjamin, MD, Andrew J. Young, MD, John B. Holcomb, MD, Erin E. Fox, PhD, Charles E. Wade, PhD, Chris Meador, MBA, Jeremy W. Cannon, MD, SM

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Predicting chronic kidney disease progression using small pathology datasets and explainable machine learning models by Sandeep Reddy, Supriya Roy, Kay Weng Choy, Sourav Sharma, Karen M Dwyer, Chaitanya Manapragada, Zane Miller, Joy Cheon, Bahareh Nakisa

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Constrained reduced-order modeling using bounded Gaussian processes for physically consistent reacting flow predictions by Muhammad Azam Hafeez, Alberto Procacci, Axel Coussement, Alessandro Parente

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A permeability model for hot cracking susceptibility prediction across near-equilibrium to rapid solidification conditions by Zhihang Zhang, Laishan Yang, Han Wang, Fang Han, Jing Yang, Xiaoqing Zhu, Qinghua Li, Chengkun Li, Chengcheng Wang, Zhibo Dong, Lei Wang, Yuanming Liu

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Prediction of the Trimer Protein Interface Residue Pair by CNN-GRU Model Based on Multi-Feature Map by Yanfen Lyu, Ting Xiong, Shuaibo Shi, Dong Wang, Xueqing Yang, Qihuan Liu, Zhengtan Li, Zhixin Li, Chunxia Wang, Ruiai Chen

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Development and validation of an interpretable machine learning model for predicting hyperuricemia risk: Based on environmental chemical exposure by Xiaochuan Lu, Huawei Kou, Cong Li, Runqing Zhan, Rongrong Guo, Shengnan Liu, Peixuan Shen, Meiyue Shen, Tingwei Du, Jiaqi Lu, Xiaoli Shen

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A Prediction Model for Contralateral Central Neck Lymph Node Metastases in Unilateral Papillary Thyroid Cancer by Hai-Long Tan, Bo-Qiang Huang, Gui-You Li, Bo Wei, Pei Chen, Hui-Yu Hu, Mian Liu, Deng-Jie Ou-Yang, Qiong Yang, Zi-En Qin, Qi-Man Shi, Ning Li, Peng Huang, Shi Chang

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Artificial Intelligence Models May Aid in Predicting Lymph Node Metastasis in Patients with T1 Colorectal Cancer by Ji Eun Baek, Hahn Yi, Seung Wook Hong, Subin Song, Ji Young Lee, Sung Wook Hwang, Sang Hyoung Park, Dong-Hoon Yang, Byong Duk Ye, Seung-Jae Myung, Suk-Kyun Yang, Namkug Kim, Jeong-Sik Byeon

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Development and validation of a clinical prediction model for hospitalization after emergency department admission in patients with cancer by Z.L.R. Kaplan, D. van Klaveren, J.G.A. den Duijn, R.J.C.G. Verdonschot, N. Wlazlo, J.G.J.V. Aerts, J. Bromberg, H.F. Lingsma, J. Alsma, M.M.E.M. Bos

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Integrating population genetics and species distribution models to predict red seabream distribution under climate change by Binbin Shan, Wenhao Huang, Mengyi Zhang, Liangming Wang, Yan Liu, Changping Yan, Manting Liu, Qijian Xie, Jianwei Zou, Linlin Zhao, Dianrong Sun

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Validation of 2 Prognostic Models to Predict Renal Allograft Outcome After IgA Nephropathy Recurrence by Emilio Rodrigo, Luis F. Quintana, Teresa Vázquez-Sánchez, Ana Sánchez-Fructuoso, Anna Buxeda, Eva Gavela, Juan M. Cazorla, Sheila Cabello, Isabel Beneyto, Angel M. Sevillano, María O. López-Oliva, Fritz Diekmann, José M. Gómez-Ortega, Natividad Calvo-Romero, María J. Pérez-Sáez, Asunción Sancho, Auxiliadora Mazuecos, Jordi Espí-Reig, Hernando Trujillo, Carlos Jiménez, Domingo Hernández

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Machine learning models coupled with ionic fragment σ-profiles to predict ammonia solubility in ionic liquids by Kaikai Li, Yuesong Zhu, Sensen Shi, Yongzheng Song, Haiyan Jiang, Xiaochun Zhang, Shaojuan Zeng, Xiangping Zhang

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Research on Multi-Factor Coastal Waterway Depth Prediction and Application Based on Attention-Enhanced LSTM Model by LING Ganzhan, HAN Yu, WANG Jiawei, JIE Weiwei, TANG Ruikai, HU Jiakai, LIU Xiang, LIANG Guangyue, CAO Lu, LIANG Ming

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An App model that utilizes a logistic regression algorithm for predicting choledocholithiasis: A prospective clinical trial by F. García-Villarreal, L.M. Torres-Treviño, C. Herrera-Figueroa, J.O. Jáquez-Quintana, A.A. Garza-Galindo, C.A. Cortez-Hernández, D. García-Compeán, R.A. Jiménez-Castillo, H.J. Maldonado-Garza, J.A. González-González

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MRI-based multimodal AI model enables prediction of recurrence risk and adjuvant therapy in breast cancer by Yunfang Yu, Wei Ren, Luhui Mao, Wenhao Ouyang, Qiugen Hu, Qinyue Yao, Yujie Tan, Zifan He, Xiaohua Ban, Huijun Hu, Ruichong Lin, Zehua Wang, Yongjian Chen, Zhuo Wu, Kai Chen, Jie Ouyang, Tang Li, Zebang Zhang, Guoying Liu, Xiuxing Chen, Zhuo Li, Xiaohui Duan, Jin Wang, Herui Yao

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Multi-Task Trajectory Prediction Using a Vehicle-Lane Disentangled Conditional Variational Autoencoder by Haoyang Chen, Na Li, Hangguan Shan, Eryun Liu, Zhiyu Xiang

“…Trajectory prediction under multimodal information is critical for autonomous driving, necessitating the integration of dynamic vehicle states and static high-definition (HD) maps to model complex agent–scene interactions effectively. …”
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Removal and prediction of chemicals in anaerobic–anoxic–aerobic wastewater treatment system: Case study on organophosphates by Linjun Zhou, Xinfeng Yang, Wen Gu, Jie Gu, Weilong Xing, Lei Wang, Lili Shi, Jing Liang, Tianyun Wang

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Prediction of sediment-water partition coefficients for pesticides in real river based on energy lattice points by Zhoubing Huang, Zhenqin Zhao, He Yu, Lu Sun, Dali Sun, Jianzhong Cheng, Qinghai Zhang, Chaoxuan Liao

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