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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Application of Machine Learning Models for Baseball Outcome Prediction by Tzu-Chien Lo, Chen-Yin Lee, Chien-Lin Chen, Tsung-Yu Hsieh, Che-Hsiu Chen, Yen-Kuang Lin

“…Data science has become an essential component in professional sports, particularly for predicting team performance and outcomes. This study aims to develop and evaluate machine learning models that accurately predict game outcomes in the Chinese Professional Baseball League (CPBL). …”
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MODELS AND TOOLS OF PREDICTING ANALYTICAL RESEARCH FOR DIGITAL CORPORATION by Sergey N. Bruskin

“…The author puts forward a new information model of digital corporation, which in contrast to the present day analogues provides support to operational managerial decision-making in real time. …”
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Generalizable deep learning models for predicting laboratory earthquakes by Chonglang Wang, Kaiwen Xia, Wei Yao, Chris Marone

“…Abstract Machine learning models can predict laboratory earthquakes using Acoustic emission, the lab equivalent of microseismicity, and changes in fault zone elastic properties during the lab seismic cycle. …”
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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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Comparative Analysis of Wear Models for Accurate Wear Predictions by Guntis Springis, Irina Boiko

“…Recent advancements have sought to address these limitations by integrating probabilistic surface modelling, fatigue-based degradation theories, and numerical simulations to enhance wear predictions. …”
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Incorporating prediction in models for two-dimensional smooth pursuit. by John F Soechting, Hrishikesh M Rao, John Z Juveli

“…The objective of this study was to characterize the predictive contributions to pursuit tracking more precisely by developing analytical models for predictive smooth pursuit. …”
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Prediction model for the selection of patients with glioma to proton therapy by Jesper Folsted Kallehauge, Siri Grondahl, Camilla Skinnerup Byskov, Morten Høyer, Slavka Lukacova

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Bankruptcy Prediction Models for Construction Companies in the Russian Federation by A. V. Voiko

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Adversarial defense for battery state-of-health prediction models by Masoumeh Mohammadi, Insoo Sohn

“…We analyze the impact of adversarial data poisoning attacks on SOH prediction models, specifically employing the fast gradient sign method (FGSM) and iterative fast gradient sign method (IFGSM). …”
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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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Tabular Data Models for Predicting Art Auction Results by Patryk Mauer, Szczepan Paszkiel

“…Additionally, we address the interpretability of models, which is crucial for understanding the influence of various features on predictions. …”
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Predicting waste generation using Bayesian model averaging by M.G. Hoang, T. Fujiwara, S.T. Pham Phu, K.T. Nguyen Thi

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Machine learning models for enhanced stroke detection and prediction by Shilpa Bajaj, Manju Bala, Mohit Angurala

“…This research evaluates the performance of three machine learning models—OzNet-mRMR-NB, Logistics Regression, and an Ensemble CNN—using medical images for stroke prediction. …”
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Modeling to predict cases of hantavirus pulmonary syndrome in Chile. by Elaine O Nsoesie, Sumiko R Mekaru, Naren Ramakrishnan, Madhav V Marathe, John S Brownstein

“…We adopted an information-theoretic approach to model ranking and selection. Data from 2001-2009 were used in fitting and data from January 2010 to December 2012 were used for one-step-ahead predictions.…”
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