Leveraging Artificial Intelligence in Public Health: A Comparative Evaluation of Machine-Learning Algorithms in Predicting COVID-19 Mortality by Eric B. Weiser

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Risk assessment score for drug eluting stent restenosis by Z. A. Gabbasov, I. S. Melnikov, S. V. Byazrova, S. G. Kozlov

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Prediction of Soil Organic Carbon Content in <italic>Spartina alterniflora</italic> by Using UAV Multispectral and LiDAR Data by Jiannan He, Yongbin Zhang, Mingyue Liu, Lin Chen, Weidong Man, Hua Fang, Xiang Li, Xuan Yin, Jianping Liang, Wenke Bai, Fuping Li

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Separator equipment performance of iron ore and coal using experimental and ANN-based analysis by Bharath Kumar Shanmugam, Harish Hanumanthappa, Raushan Kumar Singh, C. Durga Prasad, Manish Kumar, Amit Kumar, S. P. Samal, Adham E. Ragab, S. M. Mozammil Hasnain

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A Cement Bond Quality Prediction Method Based on a Wide and Deep Neural Network Incorporating Embedded Domain Knowledge by Rengguang Liu, Jiawei Yu, Luo Liu, Zheng Wang, Shiming Zhou, Zhaopeng Zhu

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Multifactorial analysis of factors influencing elite australian football match outcomes: a machine learning approach by Fahey-Gilmour J., Dawson B., Peeling P., Heasman J., Rogalski B.

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CURRENT ISSUES OF APPLICATION OF FOREIGN EXPERIENCE OF PREDICTING THE ECONOMIC NEEDS IN QUALIFIED PERSONS IN PRACTICE OF GOVERNMENT MANAGEMENT IN RUSSIAN FEDERATION by I. Gorokhova, E. Nikitskaya, N. Sorokina

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A prognostic signature of Glutathione metabolism-associated long non-coding RNAs for lung adenocarcinoma with immune microenvironment insights by Junxi Hu, Junxi Hu, Shuyu Tian, Shuyu Tian, Qingwen Liu, Qingwen Liu, Jiaqi Hou, Jiaqi Hou, Jun wu, Jun wu, Xiaolin Wang, Xiaolin Wang, Yusheng Shu, Yusheng Shu

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Evaluation of Advances in Battery Health Prediction for Electric Vehicles from Traditional Linear Filters to Latest Machine Learning Approaches by Adrienn Dineva

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Machine Learning Prediction of Henry’s Law Constant for CO₂ in Ionic Liquids and Deep Eutectic Solvents by Dmitriy M. Makarov, Yuliya A. Fadeeva, Arkadiy M. Kolker

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Estimation of Potato Growth Parameters Under Limited Field Data Availability by Integrating Few-Shot Learning and Multi-Task Learning by Sen Yang, Quan Feng, Faxu Guo, Wenwei Zhou

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Predicting Pregnant Women’s Abortion: Artificial Neural Network, Wavelet Neural Network and Adaptive Neural Fuzzy Inference System by Amir Hossein Hashemian, Behzad Mahaki, Mansour Rezaei, Leila Solouki, Mohammad Amin Sohrabi Cheqabaleki, Somayeh Sohrabi Cheqabaleki

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Enhancing green bean crop maturity and yield prediction by harnessing the power of statistical analysis, crop records and weather data. by Miranda Y Mortlock, David Carey, Hamish Murray, Peter J Baker, Paul G Corry

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Remote Sensing and GIS‐Based Study to Predict Risk Zones for Mosquito‐Borne Diseases in Cuttack District, Odisha, India by Subrata Kumar Palo, Prachi Prava Panda, Debasini Parida, Shikha Taneja Malick, Sanghamitra Pati

“…Applying Arc GIS software analysis models,we found 11,730.07 Ha. as a high‐risk zone, 28,053.99 Ha. as a medium‐risk zone, and 12,669.69 Ha. as a low‐risk zone. …”
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Security Situation Assessment for Terminal Area Control System Operation Based on BN-ISSA-ELM by Zhaoning Zhang, Yurong Zhang

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Long Short-Term Memory Approach for Coronavirus Disease Predicti by Omar Ibrahim Obaid, Mazin Mohammed, Salama A. Mostafa

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Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetes. by Helene Bei Thomsen, Livie Yumeng Li, Anders Aasted Isaksen, Benjamin Lebiecka-Johansen, Charline Bour, Guy Fagherazzi, William P T M van Doorn, Tibor V Varga, Adam Hulman

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Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts by Kennedy C. Onyelowe, Shadi Hanandeh, Nestor Ulloa, Ruth Barba-Vera, Arif Ali Baig Moghal, Ahmed M. Ebid, Krishna Prakash Arunachalam, Ateekh Ur Rehman

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Real‐Time Prediction of Correct Yoga Asanas in Healthy Individuals With Artificial Intelligence Techniques: A Systematic Review for Nursing by Gözde Özsezer, Gülengül Mermer

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Enhancing chemical synthesis planning: automated quantum mechanics-based regioselectivity prediction for C–H activation with directing groups by Julius Seumer, Nicolai Ree, Jan H. Jensen

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