Micromechanical model to predict the effect of temperature on the behavior of unsaturated porous media by Bao Viet Tran, Xavier Chateau

“…The result show that taking into account the coupling between the deformation of the porous space and the capillary effects can radically modify the prediction of the temperature influence on the capillary curve. …”
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A new prediction model for sustained ventricular tachycardia in arrhythmogenic cardiomyopathy by Baowei Zhang, Xin Xie, Jinbo Yu, Yizhang Wu, Jian Zhou, Xiaorong Li, Xiaorong Li, Bing Yang, Bing Yang

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Prediction of Fish Migration Caused by Ocean Warming Based on SARIMA Model by Feng Xu, Yu-Ang Du, Hong Chen, Jia-Ming Zhu

“…The results show that the SARIMA model fits well in all regions and predicts the temperature changes in the studied sea area from 2021 to 2050. …”
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Perturbative gravitational wave predictions for the real-scalar extended Standard Model by Oliver Gould, Paul M. Saffin

“…We use effective field theory to account for the necessary higher-order resummations, and to construct consistent real and gauge-invariant gravitational wave predictions. Our results provide a comprehensive account of the convergence of perturbative predictions for the gravitational wave signals in this model. …”
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A Meteorology Based Particulate Matter Prediction Model for Megacity Dhaka by Sadia Afrin, Mohammad Maksimul Islam, Tanvir Ahmed

“…Models also exhibit strong predictive power in forecasting PM levels of two other CAMSs in Dhaka. …”
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Analysis of influencing factors and prediction model construction for asthenopia in mental laborers by WANG Hui, MA Xiaolu, ZHANG Yun, ZHANG Lingling, LIU Hui, ZHANG Zhenhua, SUN Jing, GU Jun

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Development and Validation of Radiation Embrittlement Prediction Model of Austenitic Stainless Steel by JIA Lixia, WANG Dongjie, HE Xinfu, WU Shi, YANG Wen

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Is it Beneficial to Use Different Thresholds Over Time for Early Prediction Model? by Sungsoo HONG, Hyunwoo CHOO, Kyung Hyun LEE, Sungjun HONG, Ki-Byung LEE, Chang Youl LEE

“… In production settings, deep learning models often rely on fixed thresholds. This study investigates whether using varying thresholds over time enhances predictive accuracy and clinical utility, especially for early sepsis prediction. …”
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Augmented Ensemble Model (AEM) for health trends prediction on social networks by Sonia Saini, Ruchi Agarwal, S.P. Singh, Punit Gupta, Ankit Vidhyarthi, Rohit Verma

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Evaluation of Effectiveness of Arima Model Predictions in Investment Portfolio Formation and Management by Brolinska Iryna, Žilinskij Grigorij

“…The purpose of the research is to evaluate the effectiveness of ARIMA model predictions in investment portfolio creation and management.…”
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Predictive modeling of telemedicine implementation in central Asia using neural networks by Zhannur ABDRAKHMANOVA, Talgat DEMESSINOV, Kadisha JAPAROVA, Monika KULISZ, Gulzhan BAYTIKENOVA, Ainur KARIPOVA, Zhansaya ERSAINOVA

“…The predictive model showed excellent accuracy, as evidenced by a very strong correlation between predicted and observed values (R = 0.99245). …”
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A predictive model for Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis by Rui Huang, Rui Huang, Dan Wu, Dan Wu, Ling Wang, Ling Wang, Ping Liu, Ping Liu, Xiaoru Zhu, Xiaoru Zhu, Leqiu Huang, Leqiu Huang, Mengmeng Chen, Mengmeng Chen, Xin Lv, Xin Lv

“…These results suggested that the model was highly stable and accurate. Furthermore, calibration curves and clinical decision curves indicated that the model possessed good calibration and offered significant clinical benefits.ConclusionsThe nomogram, which was based on these five predictors, exhibited robust predictive value and stability, thereby can be used to aid clinicians in the early detection of EBV-HLH.…”
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Simplified Fly Tower Modeling for Preliminary Acoustic Predictions in Opera Houses by Fabrizio Cumo, Umberto Derme, Sofia Agostinelli

Subjects: “…acoustic modeling and analysis…”
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Development and validation of a Prediction Model for Chronic Thromboembolic Pulmonary Disease by Guixiang Liu, Jing Wen, Chunyi Lv, Mingjie Liu, Min Li, Kexia Fang, Jianwen Fei, Nannan Zhang, Xuehua Li, Huarui Wang, Yuanyuan Sun, Ling Zhu

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A Machine Learning Model for Prostate Cancer Prediction in Korean Men by Sukjung Choi, Beomgi So, Shane Oh, Hongzoo Park, Sang Wook Lee, Geehyun Song, Jong Min Lee, Jung Ki Jo, Seon Hyeok Kim, Si Eun Lee, Eun-Bi Cho, Jae Hung Jung, Jeong Hyun Kim

“…Therefore, this study developed a machine learning (ML) model to predict PCa in Korean men and evaluated its usability. …”
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Using artificial intelligence techniques and econometrics model for crypto-price prediction by Abhidha Verma, Jeewesh Jha

“…Furthermore, regression analysis serves as an additional prediction tool. Additionally, we employ the Autoregressive Moving Average (ARMA) model to assess the relationships between variables (dependent and independent variables). …”
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Research and Application of Heart Disease Prediction Model Based on Machine Learning by Bao Yongli

“…Future research can stack models and optimize data sources to improve the practical performance of the model. …”
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The relationship between anxiety disorders and alcohol use: predictors and predictive modeling by Dmitriy S. Radionov, Tatiana A. Karavaeva

“…Using CHAID analysis and logistic regression, researchers developed a predictive model with high accuracy (AuROC=0.937), which takes into account both clinical and individual psychological characteristics. …”
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Artificial Neural Network Model to Predict the Exportation of Traditional Products of Colombia by Andrea C. Gómez, Lilian A. Bejarano, Helbert E. Espitia

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An improved machine-learning model for lightning-ignited wildfire prediction in Texas by Qi Zhang, Cong Gao, Chunming Shi

“…Using this dataset, we developed an eXtreme gradient boosting-based machine learning model that integrates meteorological, soil, vegetative, lightning, topographic, and human activity variables to predict LIW probability. …”
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