Spatiotemporal Multivariate Weather Prediction Network Based on CNN-Transformer by Ruowu Wu, Yandan Liang, Lianlei Lin, Zongwei Zhang

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Transfer learning for predicting of gross domestic product growth based on remittance inflows using RNN-LSTM hybrid model: a case study of The Gambia by Haruna Jallow, Ronald Waweru Mwangi, Alieu Gibba, Herbert Imboga

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A CT-based machine learning model for using clinical-radiomics to predict malignant cerebral edema after stroke: a two-center study by Lingfeng Zhang, Gang Xie, Yue Zhang, Yue Zhang, Junlin Li, Junlin Li, Wuli Tang, Wuli Tang, Ling Yang, Ling Yang, Kang Li

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Prediction of the formation of low-molecular components, particles, and condensed phases during thermal destruction of oil-contaminated soil by Zarlık Maymekov, Damira Sambaeva, Gulzipa Nurgalieva, Dametken Fischer, Umirzak Dzhusipbekov, Kubat Kemelov

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AN ADVANCED MACHINE LEARNING (ML) ARCHITECTURE FOR HEART DISEASE DETECTION, PREDICTION AND CLASSIFICATION USING MACHINE LEARNING by Muhammad Anas, Muhammad Atif Imtiaz, Saad Khan, Arshad Ali, Noor Fatima Naghman, Hamayun Khan, Sami Albouq

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Effectiveness of predictive scoring systems in predicting mortality in relation to baseline kidney function in adult intensive care unit patients: a systematic review protocol by Greg Knoll, Ayub Akbari, Risa Shorr, Edward G Clark, Gregory L Hundemer, Amos Buh, Hajar El Wadia, Abdulghani Omar Kabli, Marisha Karim, Nandini Biyani, Inok Lee

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Cumulative Distribution-Based Method for Pavement Performance Modeling by Chenhao Tu, Wenya Ye, Rui Zhang, Xudong Qian, Qun Yang

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Physics-informed machine learning for automatic model reduction in chemical reaction networks by Joseph Pateras, Colin Zhang, Shriya Majumdar, Ayush Pal, Preetam Ghosh

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Remotely Sensed Variables Predict Grassland Diversity Better at Scales Below 1,000 km as Opposed to Abiotic Variables That Predict It Better at Larger Scales by Yujin Zhao, Bernhard Schmid, Zhaoju Zheng, Yang Wang, Jin Wu, Yao Wang, Ziyan Chen, Xia Zhao, Dan Zhao, Yuan Zeng, Yongfei Bai

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Clinical Decision Support for Patient Cases with Asymptomatic Carotid Artery Stenosis Using AI Models and Electronic Medical Records by Mackenzie Madison, Xiao Luo, Jackson Silvey, Robert Brenner, Kartik Gannamaneni, Alan P. Sawchuk

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A Novel Ionospheric Inversion Model: PINN‐SAMI3 (Physics Informed Neural Network Based on SAMI3) by Jiayu Ma, Haiyang Fu, J. D. Huba, Yaqiu Jin

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A comprehensive study based on machine learning models for early identification Mycoplasma pneumoniae infection in segmental/lobar pneumonia by Yaozheng Ling, Bingyue Sun, Guo Yin, Li Ma, Yang Li, Fanzheng Meng, Man Gao

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The landscape of immunogenic cell death-related genes predicts the overall survival and immune infiltration status of non-small-cell lung carcinoma by Jian Zhang, Huiying Li, Xi Zhang, Yue Yang, Yue Sun

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Rapid flood inundation mapping by integrating deep learning-based image super-resolution with coarse-grid hydrodynamic modeling by Wenke Song, Mingfu Guan, Kaihua Guo, Dapeng Yu

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Prediction of peripartum depression by oxytocin levels, Edinburgh Postnatal Depression Scale scores and lack of social support: a prospective study by Yanyan Lu, Xiaoxuan Qi, Qing Cheng, Jing Sun

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A New Nomogram to Predict Spontaneous Pregnancy after Laparoscopy Combining Hysteroscopy in Women with Minimal to Mild Endometriosis-Associated Infertility by Bin Luo, Tianjiao Pei, Xin Huang, Wei Huang

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Development and validation of a nomogram for predicting early neurological deterioration in patients with moderate traumatic brain injury: a retrospective analysis by Shen Wang, Shen Wang, Ruhai Wang, Chao Han, Haicheng Hu, Hongtao Sun, Hongtao Sun

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Age‐Period‐Cohort Analysis and Prediction of Falls Disease Burden Attributable to Low Bone Mineral Density in China, 1990–2019 by Ping Wang, Qingping Liu, Jing Wang, Jing Du, Chao Tong, Zaihua Wei, Jianting Su

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From Field to Model: Determining EROSION 3D Model Parameters for the Emerging Biomass Plant <i>Silphium perfoliatum</i> L. to Predict Effects on Water Erosion Processes by Tobias Koch, Peter Aartsma, Detlef Deumlich, Peter Chifflard, Kerstin Panten

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Current Situation and Developing Trend of Fatigue Life Prediction of Components based on Data-driven by Xiuhua Zhang, Huaiju Liu, Caichao Zhu, Peitang Wei, Shaojie Wu

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