Machine Learning-Enabled Prediction and Optimization of Sulfur Recovery Units: A Step towards Industry 4.0 Integration by Imran Khan, Husnain Saghir, Muhammad Ahsan

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Boosting Reservoir Prediction Accuracy: A Hybrid Methodology Combining Traditional Reservoir Simulation and Modern Machine Learning Approaches by Mohammed Otmane, Syed Imtiaz, Adel M. Jaluta, Amer Aborig

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Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer by Liangrui Pan, Qingchun Liang, Wenwu Zeng, Yijun Peng, Zhenyu Zhao, Yiyi Liang, Jiadi Luo, Xiang Wang, Shaoliang Peng

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No Additional Prognostic Value of Genetic Information in the Prediction of Vascular Events after Cerebral Ischemia of Arterial Origin: The PROMISe Study. by Sefanja Achterberg, L Jaap Kappelle, Paul I W de Bakker, Matthew Traylor, Ale Algra, SMART Study Group and the METASTROKE Consortium

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Spatial Prediction of High-Risk Areas for Asthma in Metropolitan Areas: A Machine Learning Approach Applied to Tehran, Iran by Alireza Mohammadi, Elahe Pishgar, Juan Aguilera

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Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach by Kwang Su Cha, Bongseog Kim, Jun-Young Lee, Hanik Yoo, Hanik Yoo

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Molecular property prediction using pretrained-BERT and Bayesian active learning: a data-efficient approach to drug design by Muhammad Arslan Masood, Samuel Kaski, Tianyu Cui

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Interactions and tradeoffs for sustainability, equity, and resilience in wasted food models by Tiruwork B Tibebu, Siyu Li, Mariana Torres Arroyo, Katherine Lessard, Joe F Bozeman III, Yongyang Cai, Jessica A Gephart, Megan Konar, Young-Jae Lee, Xiaobo Romeiko, Jessye Talley, Sauleh Siddiqui

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Bias Identification and Attribution in NLP Models With Regression and Effect Sizes by Erenay Dayanik, Ngoc Thang Vu, Sebastian Padó

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Using deep learning models to decode emotional states in horses by Romane Phelipon, Lea Lansade, Misbah Razzaq

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Refining Graduation Classification Accuracy with Synergistic Deep Learning Models by Son Nguyen Thi Kim, Quynh Nguyen Huu, Minh Bui Tuan

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Spatial modeling and ecological suitability of Ebola virus disease in Africa. by Lombo Baluma Didier, Lukusa Lumu Jude, Esuka Igabuchia Franck, HaoNing Wang, Xiao-Long Wang

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Development and multi-cohort validation of a machine learning-based simplified frailty assessment tool for clinical risk prediction by Jiahui Lai, Cailian Cheng, Tiantian Liang, Leile Tang, Xinhua Guo, Xun Liu

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Prediction of uterine rupture in singleton pregnancies with one prior cesarean birth undergoing TOLAC: A cross‐sectional study by Brittany J. Arkerson, Giulia M. Muraca, Nisha Thakur, Ali Javinani, Asma Khalil, Rohan D'Souza, Hiba J. Mustafa

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Establishment and Validation of a Machine‐Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra‐Abdominal Candidiasis in Septic Patients by Jiahui Zhang, Wei Cheng, Dongkai Li, Guoyu Zhao, Xianli Lei, Na Cui

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Parameter uncertainties for imperfect surrogate models in the low-noise regime by Thomas D Swinburne, Danny Perez

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Nomogram to predict live birth in infertile women with adenomyosis undergoing IVF/ICSI treatment: a retrospective cohort study by Zhongyuan Li, Wei Chen, Xiaohan Sun, Xiaohan Sun, Xiaohan Sun, Xiaohan Sun, Xiaohan Sun, Xiaohan Sun, Xiaohan Sun, Xiaohan Sun, Xiaohan Sun, Xueqing Zhao, Xueqing Zhao, Xueqing Zhao, Xueqing Zhao, Xueqing Zhao, Xueqing Zhao, Xueqing Zhao, Xueqing Zhao, Xueqing Zhao, Jingmei Hu, Jingmei Hu, Jingmei Hu, Jingmei Hu, Jingmei Hu, Jingmei Hu, Jingmei Hu, Jingmei Hu, Jingmei Hu, Li Ge, Wenting Wang, Ping Zhang

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大脑中动脉闭塞性急性缺血性卒中血管内治疗后不良预后的危险因素分析及预测模型开发 Risk Factors Analysis and Prediction Model Development for Poor Prognosis after Endovascular Treatment of Middle Cerebral Artery Occlusive... by 蒋兰1，傅新民1，2，3，孙梦飞2，李怡萍1 (JIANG Lan1, FU Xinmin1,2,3, SUN Mengfei2, LI Yiping1 )

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Measurement and prediction of small molecule retention by Gram-negative bacteria based on a large-scale LC/MS screen by François Le Goff, Julien Hazemann, Lukas Christen, Geoffroy Bourquin, Gabin Pierlot, Roland Lange, Philippe Panchaud, Cornelia Zumbrunn, Oliver Peter, Georg Rueedi, Daniel Ritz

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Longitudinal image-based prediction of surgical intervention in infants with hydronephrosis using deep learning: Is a single ultrasound enough? by Adree Khondker, Stanley Bryan Z Hua, Jethro C C Kwong, Kunj Sheth, Daniel Alvarez, Kyla N Velaer, John Weaver, Alice Xiang, Gregory E Tasian, Armando J Lorenzo, Anna Goldenberg, Mandy Rickard, Lauren Erdman

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