Analysis of the dynamics of changes in factor load models for predicting failures of a spacecraft by Kraev Konstantin, Zaitsev Pavel, Kazakovtsev Vladimir

“…The structure of the methodology for preparing data and creating factor load models is described. A methodology for analyzing the dynamics of changes in factor load models is proposed. …”
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A prediction model for guiding tumor microwave ablation surgery based on simulation by Lu Qian, Yamin Yang, Pan Chen, Jia Liu, Xiaofei Jin, Zhiyu Qian, Chunxiao Chen

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Boosting Cervical Cancer Prediction Leveraging a Hybrid FT-Transformer Model by Md Emamul Hossen, S. M. Mahim, Shakib Al Hasan, Md Khairul Islam, Md Shohidul Islam, Salahuddin Khan, Mohammad Alibakhshikenari, Peiman Parand, Md Sipon Miah

“…To address this critical clinical need, we propose an innovative Hybrid FT-Transformer model that synergistically integrates a Feature Tokenization (FT) Transformer with Depthwise convolutional neural networks and Long Short-Term Memory (LSTM) networks for precise CC prediction. …”
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Milling-Force Prediction Model for 304 Stainless Steel Considering Tool Wear by Changxu Wang, Yan Li, Feng Gao, Kejun Wu, Kan Yin, Peng He, Yunjiao Xu

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Exploring the VAK model to predict student learning styles based on learning activity by Ahmed Rashad Sayed, Mohamed Helmy Khafagy, Mostafa Ali, Marwa Hussien Mohamed

“…To accomplish this goal, we have proposed an integrated system which encompasses the use of machine learning (ML) algorithms. This hybrid model is aimed at linking various activities to VAK model of learning and hence place students in their various class learning preferences derived from their activities and the patterns created during the learning processes. …”
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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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Charging-Related State Prediction for Electric Vehicles Using the Deep Learning Model by De Zhao, Hua Wang, Zhiyuan Liu

“…Among all states, the proposed model has a higher prediction accuracy on “home stop” (89.0%). …”
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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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Development of Concentration-Prediction Models in Multiple Manufacturing Environments Using NIR Spectroscopy by Yusuke Hayashi, Saho Okazaki, Kazuya Tanabe, Takuya Nagato, Hirokazu Sugiyama

“…This work presents development of concentration-prediction models applicable to multiple work environments using near-infrared (NIR) spectroscopy. …”
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Construction and validation of risk prediction models for different subtypes of retinal vein occlusion by Chunlan Liang, Lian Liu, Wenjuan Yu, Qi Shi, Jiang Zheng, Jun Lyu, Jingxiang Zhong

“…Purpose: While prognostic models for retinal vein occlusion (RVO) exist, subtype-specific risk prediction tools for central retinal vein occlusion (CRVO) and branch retinal vein occlusion (BRVO) remain limited. …”
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Spherical assembly model and prediction of pressure loss of porous media flow in goaf by Fangxing CHEN, Xiaoli HAO, Shiqiang CHEN, Yiqun LI, Shilin LI, Yi LU

“…The model is used to predict the pressure loss, and the simulation results are compared with the predicted values of Ergun equation. …”
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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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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

Subjects: “…water quality prediction|ceemdan decomposition|fuzzy dispersion entropy|mantis search algorithm|hybrid model…”
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Prediction of thermodynamic properties of aqueous carbohydrates solution using the PHSC and ANN models by Soud Khalil Ibrahim, Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav, Soumya V. Menon, Debasish Shit, S. Supriya, Rajashree Panigrahi, Waam Mohammed Taher, Mariem Alwan, Mahmood Jasem Jawad, Hiba Mushtaq

“…The model’s performance has been evaluated using the prediction of sugar solubilities in water. …”
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Evapotranspiration Prediction Method Based on K-Means Clustering and QPSO-MKELM Model by Chuansheng Zhang, Minglai Yang

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Parameter-Efficient Adaptation of Large Vision—Language Models for Video Memorability Prediction by Iván Martín-Fernández, Sergio Esteban-Romero, Fernando Fernández-Martínez, Manuel Gil-Martín

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Recent development of risk-prediction models for incident hypertension: An updated systematic review. by Dongdong Sun, Jielin Liu, Lei Xiao, Ya Liu, Zuoguang Wang, Chuang Li, Yongxin Jin, Qiong Zhao, Shaojun Wen

“…<h4>Conclusions</h4>The traditional models are still the predominant risk prediction models for hypertension, but recently, more models have begun to incorporate genetic factors as part of their model predictors. …”
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Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis by Subhrajit Roy, Diana Mincu, Lev Proleev, Chintan Ghate, Jennifer S. Graves, David F. Steiner, Fletcher Lee Hartsell, Katherine Heller

“…Finally, we retrospectively developed three classical ML methods and two deep learning models to accurately and continually predict the incidence of five high-severity symptoms (fatigue, sensory disturbance, walking instability, depression or anxiety and cramps/spasms) three months in advance.…”
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Bearing Degradation Process Prediction Based on the Support Vector Machine and Markov Model by Shaojiang Dong, Shirong Yin, Baoping Tang, Lili Chen, Tianhong Luo

“…After the bearing degradation process is predicted by SVM model, the Markov model is used to improve the prediction accuracy. …”
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