A clinical prediction model for blood pressure changes after renal denervation in patients with resistant hypertension by Yishuan Zhang, Ruiqing He, Chen Chen, Hong Zhang, Lingyan Li, Rongxue Xiao, Shuangyu Chen, Shuyi Wu, Zongjun Liu, Junqing Gao

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Fermentation modeling and machine learning for flavor prediction in low-sodium radish paocai with potassium chloride substitution by Yaxin Li, Yunjing Gu, Weiye Cheng, Zifan Li, Xiru Zhang, Yaran Zhao, Kanghee Ko, Wenli Liu, Xiaoping Liu, Huamin Li

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CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre study by Mengge He, Rahul Singh, Mandi Wang, Grace Ho, Esther M. F. Wong, Keith W. H. Chiu, Anthony K. T. Leung, Ka Yu Tse, Philip P. C. Ip, Andy Hwang, Lujun Han, Elaine Y. P. Lee

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Predicting the risk of postoperative avascular necrosis in patients with talar fractures based on an interpretable machine learning model by Jian Zhang, Jian Zhang, Jian Zhang, Jihai Xu, Jihai Xu, Jiapei Yu, Jiapei Yu, Jiapei Yu, Hong Chen, Hong Chen, Xin Hong, Songou Zhang, Xin Wang, Xin Wang, Chengchun Shen, Chengchun Shen, Chengchun Shen

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Development and validation of a preeclampsia prediction model for the first and second trimester pregnancy based on medical history by Qi Xu, Lili Xing, Ting Zhang, Guoli Liu

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Abstract 052: External Validation of the Prediction Model For Delayed Reperfusion in Patients with Incomplete Reperfusion: EXTEND‐PROCEED by Adnan Mujanovic, Felix Ng, Mattia Branca, Thomas Meinel, Leonid Churilov, Peter Mitchell, Nawaf Yassi, Mark Parsons, Gagan Sharma, Marcel Arnold, Eike Piechowiak, Timothy Kleinig, David Seiffge, Tomas Dobrocky, Jan Gralla, Urs Fischer, Bruce Campbell, Johannes Kaesmacher

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An Enhanced Error-Adaptive Extended-State Kalman Filter Model Predictive Controller for Supercritical Power Plants by Gang Chen, Shan Hua, Changhao Fan, Chun Wang, Shuchong Wang, Li Sun

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Deflagration Pressure Prediction Using the NFPA 68 Engineering Model: Sensitivity of Fuel-air Gas Properties by Stefan Kraft, Marius Bloching, Lorenz Boeck

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Using machine learning models based on cardiac magnetic resonance parameters to predict the prognostic in children with myocarditis by Dongliang Hu, Manman Cui, Xueke Zhang, Yuanyuan Wu, Yan Liu, Duchang Zhai, Wanliang Guo, Shenghong Ju, Guohua Fan, Wu Cai

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Optimizing Concrete Mix Design for Cost and Carbon Reduction Using Machine Learning by Angga T. Yudhistira, Arief S. B. Nugroho, Iman Satyarno, Tantri N. Handayani, Malindu Sandanayake, Rimba Erlangga, Jonathan Lianto, Alfa Rosyid Ernanto

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Enhancing Time Series Product Demand Forecasting With Hybrid Attention-Based Deep Learning Models by Xuguang Zhang, Pan Li, Xu Han, Yongbin Yang, Yiwen Cui

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Towards a Sustainable Disruptive Growth Model: Integrating Foresight, Wild Cards and Weak Signals Analysis by Rafael Popper, Yuli Villarroel, Raimund Popper

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Urban Air Quality Shifts in China: Application of Additive Model and Transfer Learning to Major Cities by Yuchen Ji, Xiaonan Zhang, Yueqian Cao

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Decision-Making Model for Life Cycle Management of Aircraft Components by Igor Kabashkin, Vitaly Susanin

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Spatial and temporal evolution and prediction of soil erosion in the urban agglomeration on the northern slopes of the Tianshan Mountains in China by Zhaojin Yan, Fulin Mao, Rong He, Hui Yang, Hui Ci, Ran Wang

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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

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Physics-Based Data Augmentation Enables Accurate Machine Learning Prediction of Melt Pool Geometry by Siqi Liu, Ruina Li, Jiayi Zhou, Chaoyuan Dai, Jingui Yu, Qiaoxin Zhang

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Using Permutation-Based Feature Importance for Improved Machine Learning Model Performance at Reduced Costs by Adam Khan, Asad Ali, Jahangir Khan, Fasee Ullah, Muhammad Faheem

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Dual-Vector Model Predictive Current Control with Entire-Time-Domain Current Harmonic Optimization and Robust Control Strategy by Dahui Guo, Jian Yang, Hanbin Zhou, Qian Huang, Mi Dong, Liqing Liao

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AI-driven precision agriculture for enteric methane mitigation: cross-farm validation with an essential oil-based feed additive by Yaniv Altshuler, Yaniv Altshuler, Tzruya Calvao Chebach, Shalom Cohen, Joao Gatica

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