A Subgrid Parameterization for Wind Turbines in Weather Prediction Models with an Application to Wind Resource Limits by B. H. Fiedler, A. S. Adams

“…A subgrid parameterization is offered for representing wind turbines in weather prediction models. The parameterization models the drag and mixing the turbines cause in the atmosphere, as well as the electrical power production the wind causes in the wind turbines. …”
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Instantaneous Power Theory with Fourier and Optimal Predictive Controller Design for Shunt Active Power Filter by Suksan Tiyarachakun, Kongpol Areerak, Kongpan Areerak

“…Moreover, the optimal design of predictive current controller using an artificial intelligence technique called adaptive Tabu search is also proposed in the paper. …”
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A critical analysis of the Mises stress criterion used in frequency domain fatigue life prediction by Adam Niesłony

“…Therefore the direct use of equivalent von Mises stress criterion for fatigue life prediction can lead to some incorrectness of theoretical and practical nature. …”
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Evaluation the efficiency of using Artificial Neural Networks in predicting meteorological droughts in north-west of Iran by Arash malekian, mahro dehbozorgi, Amir hoshang ehsani

“…So, drought can be predicted by this method in future and also it is useful in water resources management, drought management and climate change.…”
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Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation Index by Roopini Sathiasai Kumar, Swapnil Sharma, Arunima Halder, Vipin Gupta

“…Our approach consists of a training and prediction phase. The 30 patients' images were divided into training (24) and prediction (6) sets. …”
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Lung cancer Prediction and Classification based on Correlation Selection method Using Machine Learning Techniques by Dakhaz Mustafa Abdullah, Adnan Mohsin Abdulazeez, Amira Bibo Sallow

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Multiphoton imaging-based quantifiable collagen signatures for predicting outcomes in patients with pancreatic ductal adenocarcinoma by Xiwen Chen, Jikui Miao, Xingxin Huang, Xiahui Han, Liqin Zheng, Jianxin Chen, Linying Chen, Lianhuang Li

“…Here, we aimed to enhance the prognostic prediction of patients with PDAC by studying collagen features in tumor microenvironment using multiphoton microscopy (MPM) combining with image processing technique. …”
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Using the Hospital Frailty Risk Score to predict length of stay across all adult ages. by Huda Kutrani, Jim Briggs, David Prytherch, Claire Spice

“…<h4>Background</h4>Hospital Frailty Risk Score (HFRS) has recently been used to predict adverse health outcomes including length of stay (LOS) in hospital. …”
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Modeling Seed Longevity and Percentile Prediction: A Sigmoidal Function Approach in Soybean, Maize, and Tomato by Felipe Souza Carvalho, Brunna Rithielly Rezende, Amanda Rithieli Pereira dos Santos, Maria Márcia Pereira Sartori

“…The models were fitted to the experimental longevity data, and their performance in predicting the percentiles was evaluated. The Logistic model showed better performance in predicting <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>P</mi></mrow><mrow><mn>50</mn></mrow></msub></mrow></semantics></math></inline-formula> (time for viability to drop to 50%), <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>P</mi></mrow><mrow><mn>85</mn></mrow></msub></mrow></semantics></math></inline-formula> (time for viability to drop to 85%), and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>P</mi></mrow><mrow><mn>25</mn></mrow></msub></mrow></semantics></math></inline-formula> (time for viability to drop to 25%), estimating the parameters more frequently within the experimental range (obtained from the initial viability data). …”
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Machine learning-assisted prediction of durability behavior in pultruded fiber-reinforced polymeric (PFRP) composites by Ammar A. Alshannaq, Mohammad F. Tamimi, Muath I. Abu Qamar

“…This paper employs various machine learning models to predict the mechanical properties under various environmental exposures. …”
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A robust adaptive meta-sample generation method for few-shot time series prediction by Chao Zhang, Defu Jiang, Kanghui Jiang, Jialin Yang, Yan Han, Ling Zhu, Libo Tao

Subjects: “…Few-shot time series prediction…”
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Enhancing real estate price prediction using optimized least squares moment balanced machine by Radian Khasani Riqi

“…Real estate price prediction is crucial for urban planning and economic forecasting, as property values are influenced by factors such as location and infrastructure. …”
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Generalization of artificial neural network for predicting methane production in laboratory-scale anaerobic bioreactor landfills by M.J. Zoqi

“…Implementation of artificial neural networks for modeling and prediction of this process still remains challenging. …”
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Advanced Online State-of-Health Prediction and Monitoring of Na-Ion Battery for Electric Vehicles Application by D. Pelosi, L. Trombetti, F. Gallorini, P. A. Ottaviano, L. Barelli

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The role of lean body mass in predicting mortality in hemodialysis patients across different age groups by Ji-Eun Kim, Jinyeong Yi, Jae Ho Kim, Kipyo Kim, Joon Ho Song, Seoung Woo Lee, Seun Deuk Hwang

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Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan by John Karongo, Joseph Ivivi Mwaniki, John Ndiritu, Victor Mokaya

“…DT and XGboost both had an accuracy close to 80% and less prediction error. Predicting 2021 sorghum yield, XGboost, DT and RF models yielded best combination of metrics with good accuracy. …”
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Non-parametric Statistical Methods to Predict the Benefits of Switching to E-learning, by Application on Saudi Universities by Afrah Yahya AL Alrezami

“… The current research aims to use non-parametric tests to predict the benefits of switching to e-learning. Non-parametric tests (Chi-square goodness of fit, Chi-square independence and Kruskal Wallis) were used. …”
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Climate Analysis to Predict Potential Spread and Seasonality for Global (COVID-19) in Iraqi Kurdistan Region by Hemin Nasraldin M. Amin, Hero Nasraldin M. Amin

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A prognostic index model for predicting long-term recurrence of uterine leiomyoma after myomectomy. by Xiu Ming, Junying Zhou, Jinhai Gou, Na Li, Dan Nie, Luqi Xue, Zhengyu Li

“…Our aim is to propose a prognostic index (PI) model for predicting the long-term recurrence risk of uterine leiomyoma (UL).…”
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Nomogram for predicting mild cognitive impairment in Chinese elder CSVD patients based on Boruta algorithm by Yanzi Huang, Wendie Huang, Xiaoming Ma, Guoyin Zhao, Jingwen Kang, Huajie Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Shiying Sheng, Fengjuan Qian

“…Endocrine metabolic indicators like IGF-1 offer early predictive value. This study has produced a succinct nomogram integrating demographic and clinical indicators for medical application.…”
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