Skeletal age prediction models by maturity status in male soccer players by Luis Alberto Flores, Christopher McLaren-Towlson, Lidia G. De León, Fabiana Bonito, Pedro Mil-Homens, Iván Peña-González, Maria Isabel Fragoso

“…The prediction models are a reliable and cost-effective method to estimate SA in male soccer players.…”
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Developing and validating machine learning models to predict next-day extubation by Samuel W. Fenske, Alec Peltekian, Mengjia Kang, Nikolay S. Markov, Mengou Zhu, Kevin Grudzinski, Melissa J. Bak, Anna Pawlowski, Vishu Gupta, Yuwei Mao, Stanislav Bratchikov, Thomas Stoeger, Luke V. Rasmussen, Alok N. Choudhary, Alexander V. Misharin, Benjamin D. Singer, G. R. Scott Budinger, Richard G. Wunderink, Ankit Agrawal, Catherine A. Gao, NU SCRIPT Study Investigators

“…We used three data encoding/imputation strategies and built XGBoost, LightGBM, logistic regression, LSTM, and RNN models to predict next-day extubation. We compared model predictions and actual events to examine how model-driven care might have differed from actual care. …”
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External validation of risk prediction models for post-stroke mortality in Berlin by Jessica L Rohmann, Tobias Kurth, Heinrich J Audebert, Marco Piccininni, Lukas Reitzle

“…Objectives Prediction models for post-stroke mortality can support medical decision-making. …”
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Bridging Analytical Models and Cfd: Advancing Ammonia Spill Dispersion Predictions by Filippo De Rosa, Pablo Giacopinelli, Felicia Tan, Alexandre Lebas, Christophe Mabilat

“…To address this gap, this study presents a novel modelling approach to predict accurately ammonia behaviour during accidental releases. …”
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Review and Evaluation of Slip-ratio-based Void Fraction Prediction Models by HE Wen, HAN Jinyu, ZHAO Chenru, LI Yanlin, BO Hanliang

“…The gas phase content is relatively low, and the velocities of two phases may be unevenly distributed on the cross-section of the channel, resulting in the low accuracy of the slip-ratio-based models. Thus, slip-ratio-based models are not recommended in this range to predict the void fraction. …”

Artificial Intelligence in Financial Trading Predictive Models and Risk Management Strategies by Basha Shaik Asif, Zia Amir, B Kirankumar, S Chandra Sekhar, S Sumithra, R Monisha Jothi

“…Therefore, this research is focused on establishing new AI-based models to tackle this problem in predictive models, risk management strategies in financial trading domain. …”
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Accuracy and precision in DM intake prediction models for lactating dairy cows by N. Mehaba, S. Schrade, L. Eggerschwiler, F. Dohme-Meier, P. Schlegel

“…Finally, the 30-year old Agroscope model emerged as the most accurate and precise in predicting DMI in lactating dairy cows fed a diet consisting of 90–95% of a mixed basal diet (dry and ensiled herbage and corn silage) and of 5–10% concentrates (DM basis).…”
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Development and validation of predictive models for diabetic retinopathy using machine learning. by Penglu Yang, Bin Yang

“…Significant predictors were identified, and four predictive models were developed. Model performance was assessed using accuracy, precision, recall, F1-score, and area under the curve (AUC).…”
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Recurrent predictive coding models for associative memory employing covariance learning. by Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz

“…We further show that our models can be combined with hierarchical predictive coding networks to model the hippocampo-neocortical interactions. …”
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Transformative Movie Discovery: Large Language Models for Recommendation and Genre Prediction by Subham Raj, Anurag Sharma, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar

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Application of Machine Learning Models to Multi-Parameter Maximum Magnitude Prediction by Jingye Zhang, Ke Sun, Xiaoming Han, Ning Mao

“…Magnitude prediction is a key focus in earthquake science research, and using machine learning models to analyze seismic data, identify pre-seismic anomalies, and improve prediction accuracy is of great scientific and practical significance. …”
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Facebook Reactions as Controversy Proxies: Predictive Models over Italian News by Angelo Basile, Tommaso Caselli, Flavio Merenda, Malvina Nissim

“…We develop a battery of distant supervised models that use Facebook reactions as proxies for predicting news controversy, building on the idea that controversy can be modeled via the entropy of the reaction distribution to a post. …”
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Comparative Analysis of LSTM and GRU Models for Ethereum (ETH) Price Prediction by Moch Panji Agung Saputra, Riza Andrian Ibrahim, Renda Sandi Saputra

“…Although various studies have compared the performance of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) in predicting financial asset prices, there are still differences in results regarding which model is superior. …”
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New Predictive Models for the Computation of Reinforced Concrete Columns Shear Strength by Anthos I. Ioannou, David Galbraith, Nikolaos Bakas, George Markou, John Bellos

“…Three ML models, LREGR, POLYREG-HYT, and XGBoost-HYT-CV, were used to develop different predictive models that were able to compute the shear strength of RC columns. …”
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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

“…AimIn this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.Subject and methodsWe sourced GSE9569 and GSE21862 microarray data from the Gene Expression Omnibus. …”
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Application Of Machine Learning Models To Predict Warping Of Plastic Automotive Parts by Evandro Menezes de Souza Amarante, João Paulo Rios Brandão de Oliveira, Pedro Guilherme Carvalho de Souza Marconi, Armando Sá Ribeiro Júnior

“…The results indicated that the regression models developed for predicting warpage performed better with the ABS data. …”
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Predictability of water resources with global climate models. Case of Northern Tunisia by Besbes, Mustapha, Chahed, Jamel

“…The results show that the use of raw GCMs predictions on large basins is possible and provides precisions comparable to what is produced when using Regional Climate Models in medium size basins.…”
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Predictive Models of Current, Voltage, and Power Losses on Electric Transmission Lines by O. M. Bamigbola, M. M. Ali, K. O. Awodele

“…The predictive models evolved as explicit expressions of the space variable and they are in close agreement with empirical data and reality.…”
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Performance Comparison of Multiple Discriminant Analysis and Logit Models in Bankruptcy Prediction by Matúš Mihalovič

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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

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