Predictive Model for Incipient Faults in Oil-Filled Transformers by Michael Osajeh, Linda Usiosefe, Efosa Igodan

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Indicators of Violence Levels: Questionnaires and Predictive Mathematical Model by E. Leal-Enríquez, A. R. Gutiérrez-Antúnez

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Comparisons of Faulting-Based Pavement Performance Prediction Models by Weina Wang, Yu Qin, Xiaofei Li, Di Wang, Huiqiang Chen

“…This paper reviews performance prediction models and JPCP faulting models that have been used in past research. …”
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Deep Learning Models for Reference Evapotranspiration Prediction in Bangladesh by Abul Kashem, Pobithra Das, Uaktho Baishnab

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Machine Learning models to predict Agile Methodology adoption by Ridewaan Hanslo, Maureen Tanner

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MATHEMATICAL MODELS FOR THE PREDICTION OF THE ENCAPSULATION BEHAVIOR IN FOOD SYSTEMS by Iuliana Vinitila

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Explainable Supervised Learning Models for Aviation Predictions in Australia by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

“…This study investigates the classification performance of multiple supervised machine learning models and employs SHapley Additive exPlanations (SHAPs) to provide global model explanations, identifying key features that influence decision boundaries. …”
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Evaluation of two models to predict grey mould in strawberry by Håvard Eikemo, Gunn Mari Strømeng, Arne Stensvand

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Prediction Models for Diabetes in Children and Adolescents: A Review by Livija Cveticanin, Marko Arsenovic

Subjects: “…machine learning (ML) prediction model…”
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Machine Learning Models to Predict Google Stock Prices by Cosmina Elena Bucura, Paolo Giudici

“…The aim of this paper is to predict Google stock price using different datasets and machine learning models, and understand which models perform better. …”
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Deep Learning Algorithm-Based Financial Prediction Models by Helin Jia

“…The combined forecasting model proposed in this paper is based on the idea of decomposition-reconstruction synthesis, which effectively improves the model’s prediction of internal financial time series. …”
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Models for Predicting the Probability of Bankruptcy: Applying in Construction Companies by A. V. Voiko

“…It has been also revealed that models for predicting financial insolvency of enterprises has not been able to assess changes in financial stability in the short term. …”
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Prediction of earthquake by machine learning models and neural network by Xu Bohong

“…After reading many articles, the author discovered that not many articles use a fully connected neural network to predict earthquake magnitude. In this article, the author first process the dataset sought from the internet, then predict the magnitude and the alert of earthquakes, with four machine learning models and a neural network. …”
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Models to predict relapse in psychosis: A systematic review. by Sarah Sullivan, Kate Northstone, Caroline Gadd, Julian Walker, Ruta Margelyte, Alison Richards, Penny Whiting

“…<h4>Background</h4>There is little evidence on the accuracy of psychosis relapse prediction models. Our objective was to undertake a systematic review of relapse prediction models in psychosis.…”
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Causal models and prediction in cell line perturbation experiments by James P. Long, Yumeng Yang, Shohei Shimizu, Thong Pham, Kim-Anh Do

“…This has led to the development of computational models that can predict cellular responses to perturbations in silico. …”
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Risk models to predict hypertension: a systematic review. by Justin B Echouffo-Tcheugui, G David Batty, Mika Kivimäki, Andre P Kengne

“…Eleven studies reporting on 15 different hypertension prediction risk models were identified. Age, sex, body mass index, diabetes status, and blood pressure variables were the most common predictor variables included in models. …”
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Hierarchical Neural Regression Models for Customer Churn Prediction by Golshan Mohammadi, Reza Tavakkoli-Moghaddam, Mehrdad Mohammadi

“…The experimental results show that the hierarchical models outperform the single Cox regression baseline model in terms of prediction accuracy, Types I and II errors, RMSE, and MAD metrics. …”
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Machine Learning Models for the Prediction of Wind Loads on Containerships by Nastia Degiuli, Carlo Giorgio Grlj, Ivana Martić, Sandi Baressi Šegota, Nikola Anđelić, Darin Majnarić

“…The study demonstrates that accurate prediction of wind load coefficients is feasible, making these models a reliable tool for practical engineering applications.…”
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QSAR Models for Predicting the Antioxidant Potential of Chemical Substances by Sofia Ghironi, Edoardo Luca Viganò, Gianluca Selvestrel, Emilio Benfenati

“…Given these results, we developed an integrated method that not only outperformed the individual models, achieving an R² of 0.78 on the external test set, but also provided valuable insights into the range of predicted values.…”
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Application of Machine Learning Models for Baseball Outcome Prediction by Tzu-Chien Lo, Chen-Yin Lee, Chien-Lin Chen, Tsung-Yu Hsieh, Che-Hsiu Chen, Yen-Kuang Lin

“…Data science has become an essential component in professional sports, particularly for predicting team performance and outcomes. This study aims to develop and evaluate machine learning models that accurately predict game outcomes in the Chinese Professional Baseball League (CPBL). …”
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