Deep Learning-Based Performance Prediction of Electric Submersible Pumps Under Viscous and Gas–Liquid Flow Conditions by Haiwen Zhu, Hong Yu, Qiang Sun, Qiuchen Wang, Haorong Jing, Rakhymzhan Abdikadyrov

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Population Density Prediction at Township Scale Supported by Machine Learning Method: A Case Study in Inner Mongolia by Chenxi Cui, Yunfeng Hu, Yuhai Bao, Hao Li

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Local Scour Around Marine Structures: A Comprehensive Review of Influencing Factors, Prediction Methods, and Future Directions by Bingchuan Duan, Duoyin Wang, Chenxi Qin, Lunliang Duan

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Enhancing State of Health Prediction Accuracy in Lithium-Ion Batteries through a Simplified Health Indicator Method by Dongxu Han, Nan Zhou, Zeyu Chen

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A comparative study of topological entropy characterization and graph energy prediction for Marta variants of covalent organic frameworks by Zahid Raza, Micheal Arockiaraj, Aravindan Maaran, Arul Jeya Shalini

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Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment f... by Sujin Kim, Ah Young Kim, Yu-Bin Shin, Seonmin Kim, Min-Sup Shin, Jinhwa Choi, Kyung Lyun Lee, Jisu Lee, Sangwon Byun, Heon-Jeong Lee, Chul-Hyun Cho

“…The primary outcome will be the development of machine-learning algorithms to predict depression and anxiety based on these digital biomarkers. …”
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Analyzing and predicting short-term substance use behaviors of persons who use drugs in the great plains of the U.S. by Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun, Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan

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Using major histocompatibility complex (MHC) II expression to predict antitumor response to CD4 + lymphocyte depletion by Yanping Wang, Minhyung Kim, Shengchen Su, Lahiruni Halwatura, Sungyong You, Hyung L. Kim

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Mitochondrial subtypes in renal ischemia reperfusion injury guide delayed graft function and Long-Term graft prediction by Danni Hu, Zheng Wang

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The Role of Current Ratio, Operating Cash Flow and Inflation Rate in Predicting Financial Distress: Indonesia Stock Exchange by Irma Setyawati, Rizki Amelia

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Machine Learning-Driven D-Glucose Prediction Using a Novel Biosensor for Non-Invasive Diabetes Management by Pardis Sadeghi, Shahriar Noroozizadeh, Rania Alshawabkeh, Nian Xiang Sun

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PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

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Multicenter comparative analysis of local and aggregated data training strategies in COVID-19 outcome prediction with Machine learning. by Carine Savalli, Roberta Moreira Wichmann, Fabiano Barcellos Filho, Fernando Timoteo Fernandes, Alexandre Dias Porto Chiavegatto Filho, IACOV-BR Network

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Novel Gain-Optimized Two-Step Fusion Filtering Method for Ranging-Based Localization Using Predicted Residuals by Bo Chang, Xinrong Zhang, Na Sun, Hao Ni

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The Role of Acute Phase Reactants, Including α1-Acid Glycoprotein, in Predicting Onset and Severity of Retinopathy of Prematurity by Yoko Nakazawa, Tsutomu Yasukawa, Haruo Goto, Satoru Kobayashi, Kyoko Yokoi

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Genomic prediction with kinship-based multiple kernel learning produces hypothesis on the underlying inheritance mechanisms of phenotypic traits by Daniele Raimondi, Nora Verplaetse, Antoine Passemiers, Deborah Sarah Jans, Isabelle Cleynen, Yves Moreau

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Artificial Neural Network Approaches for Predicting the Heat Transfer in a Mini-Channel Heatsink with Alumina/Water Nanofluid by Mohammad Mahdi Tafarroj, Seyed Soheil Mousavi Ajarostaghi, C.J. Ho, Wei-Mon Yan

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One factor to bind them all: visual foraging organization to predict patch leaving behavior with ROC curves by Marcos Bella-Fernández, Manuel Suero Suñé, Alicia Ferrer-Mendieta, Beatriz Gil-Gómez de Liaño

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Machine Learning-Enabled Prediction and Mechanistic Analysis of Compressive Yield Strength–Hardness Correlation in High-Entropy Alloys by Haiyu Wan, Baobin Xie, Hui Feng, Jia Li

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Predicting adherence to therapy in rheumatoid arthritis, psoriatic arthritis or ankylosing spondylitis: a large cross-sectional study by Philip J Mease, Joachim Sieper, Josef S Smolen, Dafna Gladman, H Patrick McNeil, Maja Hojnik, Pascal Nurwakagari, John Weinman

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