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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Model for predicting the risk of severe bronchial asthma in children by O. E. Semernik, A. A. Lebedenko, E. B. Tyurina, M. V. Dudareva

“…Objective: to develop a model for predicting the severe course of bronchial asthma (BA) in children.   …”
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Construction and Evaluation of Intimate Partner Homicide Prediction Model by LÜ Wei-ping, LIAO Xin-biao, REN Li-ju, KONG Xiao-ping, CHEN Yan-chang, CHANG Ya-fei, LUO Bin

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Development of a model for predicting money laundering rate by E. S. Anisimov, J. M. Beketnova

“…The article suggests model for predicting the level of money laundering on the basis of data from the Ministry of Internal Affairs of the Russian Federation on the state of economic crime in Russia since the beginning of 2011. …”
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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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Modeling contextual big data for user behavior prediction by Shu WU, Qiang LIU, Liang WANG

Subjects: “…contextual big data;context modeling;user modeling;behavior prediction…”
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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

“…<h4>Background</h4>As well as being a risk factor for cardiovascular disease, hypertension is also a health condition in its own right. Risk prediction models may be of value in identifying those individuals at risk of developing hypertension who are likely to benefit most from interventions.…”
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Dual Model for International Roughness Index Classification and Prediction by Noelia Molinero-Pérez, Laura Montalbán-Domingo, Amalia Sanz-Benlloch, Tatiana García-Segura

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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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Method and application of stability prediction model for rock slope by Yun Qi, Chenhao Bai, Xuping Li, Hongfei Duan, Wei Wang, Qingjie Qi

“…To accurately and efficiently predict the stability state of slopes, we propose a combined model that integrates the Newton–Raphson optimization algorithm (NRBO) with an optimized extreme gradient boosting tree (XGBoost). …”
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Digital Twin-Driven Design of an Ice Prediction Model by Andrea Serino, Alberto Dagna, Eugenio Brusa, Cristiana Delprete

Subjects: “…ice prediction model…”
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Junction temperature prediction Model Development with Co-simulation by Mustafa Ozden, Gokhan Ozkan, S M Imrat Rahman, Elutunji Buraimoh, Laxman Timilsina, Behnaz Papari, Christopher S. Edrington

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On the interpretability of the SVM model for predicting infant mortality in Bangladesh by Md Abu Sayeed, Azizur Rahman, Atikur Rahman, Rumana Rois

“…Abstract Background Although machine learning (ML) models are well-liked for their outperformance in prediction, greatly avoided due to the lack of intuition and explanation of their predictions. …”
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Modification of the LSTM Model in Time Series Data Prediction by Daniel Robi Sanjaya, Bayu Surarso, Tarno Tarno

“…This research aims to improve the accuracy of stock price prediction on time series data through modification of the Long Short-Term Memory (LSTM) model. …”
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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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Predicting the Evolution of the Supercontinuum Generation With CNN-LSTM Model by Yi Feng, Ruiyuan Liu, Xinyue Chang, Xiangzhen Huang, Yuan He, Ning Li, Tiantian Zhou, Chujun Zhao

“…The hybrid model can use the CNN model to extract and map the local features of the sequence, followed by the LSTM to predict the overall trend of the SC generation. …”
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Polymer Strength Prediction Model Based on Dielectric Constant by Meili Meng, Xiao Zhao, Jiuhai Yao, Maolin Yang

“…By incorporating the results of engineering mechanics tests while using density as an intermediate medium, a mechanical performance index model based on dielectric properties and conductivity was developed. …”
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Association of Model-Predicted Epigenetic Age and Female Infertility by Elena Pozdysheva, Vitaly Korchagin, Tatiana Rumyantseva, Daria Ogneva, Vera Zhivotova, Irina Gaponova, Konstantin Mironov, Vasily Akimkin

“…Results: The predictive performance of the model was evaluated. The mean absolute deviation of the model was 2.8 years; the mean absolute error was 2.6 years (R² = 0.95). …”
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