Analysis of a double Poisson model for predicting football results in Euro 2020. by Matthew J Penn, Christl A Donnelly

“…This paper examines the pre-tournament predictions made using this model for the Euro 2020 football tournament. …”
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Predicting Market Value of Iranian Football Players using Linear Modeling Techniques by Rasool Nazari, Saeid Azari

“…Purpose: The purpose of this study was to predict the market value of professional football players in the Iranian Premier League in the 2020-2021 season of Iranian football.Methods: method of the present study was descriptive-survey. …”
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Predicting Course Grades Through Comprehensive Modeling of Students’ Learning Behavioral Patterns by Danial Hooshyar, Yeongwook Yang

“…This study aims to model students’ online learning behavior and accordingly predict their course achievement. …”
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COMPUTER MODELLING METHODS FOR PREDICTING PERFORMANCE OF CATHODE MATERIALS FOR LITHIUM-ION BATTERIES by M.Yu.. Arsent'ev, P.A. Tikhonov, M.V. Kalinina, T.L. Egorova, A.V. Shmigel

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A Robust Hybrid CNN–LSTM Model for Predicting Student Academic Performance by Kuburat Oyeranti Adefemi, Murimo Bethel Mutanga

“…However, many existing models struggle with generalizability and fail to effectively manage data challenges such as class imbalance and missing data, leading to suboptimal predictive performance. …”
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Predicting the Evolution of Shallow Cumulus Clouds With a Lotka‐Volterra Like Model by Jingyi Chen, Samson Hagos, Jerome Fast, Zhe Feng

“…Abstract In numerical weather prediction and climate models, boundary‐layer clouds are controlled by a wide range of subgrid‐scale processes. …”
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Numerically predicting deflections of mat-sand interaction model under gravity loadings by Md. Foisal Haque, Nure Ashraf, Jahidul Islam Chalkder, Abu Salem Musa

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Time series analysis for modeling and predicting confirmed cases of influenza a in Algeria by Djillali Seba, N. Benaklef, K. Belaide

“…This study employed a comprehensive approach to develop a model for predicting confirmed cases of Influenza A in Algeria. …”
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A deep learning model for predicting systemic lupus erythematosus-associated epitopes by Jiale He, Zixia Liu, Xiaopo Tang

“…These findings underscore the model’s robustness and capacity to generalize across complex epitope prediction tasks. …”
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Voice as a sensitive biomarker for predicting exercise intensity: a modelling study by Shuyi Zhou, Ruisi Ma, Wangjing Hu, Dandan Zhang, Rui Hu, Shengwei Zou, Dingyi Cai, Zikang Jiang, Hexiao Ding, Ting Liu

“…These features were analyzed using statistical models, including support vector machine (SVM), to classify exercise intensity.ResultsSignificant variations in speech characteristics, such as speech duration, fundamental frequency (F0), and pause times, were observed across different exercise intensities, with the models achieving high accuracy in distinguishing between exercise states.ConclusionThese findings suggest that speech analysis can provide a non-invasive, real-time method for monitoring exercise intensity. …”
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Predicting Remaining Useful Life Based on Hilbert–Huang Entropy with Degradation Model by Yuhuang Zheng

“…To assess the degradation of a machine, this paper presents a bearing remaining useful life (RUL) prediction method. The method relies on a novel health indicator and a linear degradation model to predict bearing RUL. …”
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The application of the motivation-opportunity-ability model in predicting green entrepreneurial behavior of farmers by Zobeyde Kouchaky, Fatemeh Razzaghi Borkhani, Taher Azizi-Khalkheili, Fatemeh Ghorbani Piralidehi

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A hybrid model for predicting response to risperidone after first-episode psychosis by Giovany Oliveira Costa, Vanessa K. Ota, Matheus Rodrigues Luiz, Joice Santos Rosa, Gabriela Xavier, Jessica Honorato-Mauer, Marcos L. Santoro, Carolina Muniz Carvalho, Daniel A. Cavalcante, Amanda V.G. Bugiga, Rodrigo A. Bressan, Gerome Breen, Ary Gadelha, Cristiano Noto, Diego R. Mazzotti, Sintia I. Belangero

“…This study aimed to determine the performance of clinical, genetic, and hybrid models to predict the response of patients in first-episode psychosis (FEP) to the antipsychotic risperidone. …”
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Predicting purulent meningitis in very preterm infants: a novel clinical model by Xiaowei Sun, Rui Jing, Yang Li

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Comparison of SES method and SARIMA model in predicting the number of admissions in the department of neurology by Wanjun Yang, Liping Ding, Aonan Su

Subjects: “…SES model…”
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TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma by Wang W, Zhang Q, Cui Y, Zhang S, Li B, Xia T, Song Y, Zhou S, Ye F, Xiao W, Cao K, Chi Y, Qu J, Zhou G, Chen Z, Zhang T, Chen X, Ju S, Wang YC

“…In contrast, none of the published scoring systems, including ART, SNACOR or ABCR score, demonstrated significant differences between the risk groups in OS prediction.Conclusion: The TRACE model exhibited favorable predictive capability for six-month TACE response, and holds potential as a marker for long-term survival outcomes.Keywords: hepatocellular carcinoma, treatment response, transarterial chemoembolization, radiomics…”
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An Innovative Dynamic Model for Predicting Typhoon Track Deflections over Complex Terrain by Hung-Cheng Chen

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Modeling and Simulation: A Study on Predicting the Outbreak of COVID-19 in Saudi Arabia by Ahmed Msmali, Mutum Zico, Idir Mechai, Abdullah Ahmadini

“…The novel coronavirus disease (COVID-19) has resulted in an ongoing pandemic affecting the health system and economy of more than 200 countries worldwide. Mathematical models are used to predict the biological and epidemiological tendencies of an epidemic and to develop methods for controlling it. …”
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Advanced neural network-based model for predicting court decisions on child custody by Mohammad Abrar, Abdu Salam, Faizan Ullah, Muhammad Nadeem, Hussain AlSalman, Muaadh Mukred, Farhan Amin

“…Thus to solve this issue, we propose a new neural network-based model for predicting court decisions on child custody. …”
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A machine learning-based nomogram model for predicting the recurrence of cystitis glandularis by Xuhao Liu, Yuhang Wang, Yinzhao Wang, Pinghong Dao, Tailai Zhou, Wenhao Zhu, Chuyang Huang, Yong Li, Yuzhong Yan, Minfeng Chen

“…Conclusion: We have developed a reliable machine learning-based nomogram for predicting recurrence in cystitis glandularis…”
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