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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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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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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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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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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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

“…Based on the research findings of this paper, the mechanical properties of polymers can be predicted through nondestructive testing technology using electromagnetic waves.…”
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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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High-Definition Video Streams Analysis, Modeling, and Prediction by Abdel-Karim Al-Tamimi, Raj Jain, Chakchai So-In

“…In this paper, we introduce an innovative way to model and predict high-definition (HD) video traces encoded with H.264/AVC encoding standard. …”
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Model-Based Quality Prediction and Optimization of Refrigeration Products by Yang Liang, Zhang Chunlu

“…A model-based quality prediction and optimization method of refrigeration products was proposed to take into account uncertainties and parameter variations in refrigeration product manufacturing. …”
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Pathway activation model for personalized prediction of drug synergy by Quang Thinh Trac, Yue Huang, Tom Erkers, Päivi Östling, Anna Bohlin, Albin Osterroos, Mattias Vesterlund, Rozbeh Jafari, Ioannis Siavelis, Helena Backvall, Santeri Kiviluoto, Lukas Orre, Mattias Rantalainen, Janne Lehtiö, Soren Lehmann, Olli Kallioniemi, Yudi Pawitan, Trung Nghia Vu

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Breakthrough Pressure Prediction Based on Neural Network Model by Shuren Hao, Jixiang Cao, Hua Zhang, Yulian Liu, Haian Liang, Mingdong Li

“…Then, with the selected parameters, a neural network model is established to predict the breakthrough pressure of cap rock, which can achieve good prediction results.…”
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MobNas ensembled model for breast cancer prediction by Tariq Shahzad, Sheikh Muhammad Saqib, Tehseen Mazhar, Muhammad Iqbal, Ahmad Almogren, Yazeed Yasin Ghadi, Mamoon M. Saeed, Habib Hamam

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Simplified kinetic modeling for predicting the stability of complex biotherapeutics by Mitja Zidar, Stefano Cucuzza, Matjaž Bončina, Drago Kuzman

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Prediction Model of Impact Vibration Strength Under Explosion by Zhen-Gang Liang, Qing-Hua Chen, Yan-Guang Tao, Jia-Ze Lv

“…Based on the regression analysis of the simulation data, the prediction model of the peak vibration acceleration of the cabin bulkhead structure in the environment of internal explosion is established. …”
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The Degradation Process Modeling and Shelf Life Prediction of Drug by ZHOU Zhen, LI Han-bin, QI Jia, MA De-zhong

“…To solve the problem of individual difference in the same batch cannot be considered during the traditional degradation process modeling, an effective method is proposed to fuse priori degenerate data with site degraded data which can predict shelf life for the monolithic drug and new drugs Determining the distribution of model parameters based on prior information, fusion of field data to update parameters by Bayes On this basis, predict the shelf life of the monolithic drug The results show that the No5 loaded and bottled drugs’ shelf life predicted values are 4395 and 4747 weeks The relative errors are 0043 and 0051 And the feasibility of fusing degradation data to predict the shelf life of the monolithic drug and new drugs is verified…”
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