Research on digital twin modeling method for combustion process based on model reduction by Yue Zhang, Jiale Li

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Predictive process monitoring for collaborative business processes: concepts and application by Andrea Delgado, Daniel Calegari, Carolina Espino, Nicolás Ribero

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Predicting dispensing errors in community pharmacies: An application of the Systematic Human Error Reduction and Prediction Approach (SHERPA). by Ahmed Ashour, Denham L Phipps, Darren M Ashcroft

“…<h4>Method</h4>Focus group discussions and non-participant observations were undertaken to develop a Hierarchical Task Analysis (HTA), and subsequent focus group discussions applied the Systematic Human Error Reduction and Prediction Approach (SHERPA) focusing on the task of dispensing medication in community pharmacies. …”
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Damage Prediction in the Wire Drawing Process by Álvaro González, Marcela Cruchaga, Diego Celentano, Jean-Philippe Ponthot

“…In this study, the prediction of damage in the wire drawing process of 2011 aluminum alloy was investigated through both experimental and numerical methods. …”
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Prediction of the risk of recurrence of the leprosy process by G. N. Genatullina, A. L. Yasenyavskaya, A. A. Tsibizova, M. A. Samotrueva

“…The aim of the study was to study the degree of neutrophil granulocyte myeloperoxidase activity in peripheral blood of patients with leprosy in order to predict the possible recurrence of the infectious process.Materials and methods. …”
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Assessment of Information predictability of stochastic processes by A. V. Ausiannikau

“…The necessary theoretical information for parameter estimation algorithms informational predictability of stochastic processes. We consider examples of algorithms for estimating the predictability of information for the processes described by the optimal difference schemes, equivalent prognostic models in the form of stochastic differential equations.…”
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Predictable and non-stationary processes of interval PREDICTION BASED ON stochastic differential equations by A. V. Ausiannikau

“…The task of interval prediction of non-stationary processes of stochastic differential equations described by models is considered. …”
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Dynamic prediction of whole CO2 flooding development process in low permeability reservoirs by WANG Yanwei, LIN Lifei, WANG Hengli

“…To address this issue, a time-node-based dynamic prediction model for the entire CO2 flooding process in low permeability reservoirs was developed, based on the comprehensive consideration of factors such as throat size and distribution, viscosity reduction due to CO2 dissolution, and changes in interfacial tension, combined with CO2 flooding seepage mechanics theory. …”
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Karin Kukkonen: Probability Designs: Literature and predictive processing by Petter Aaslestad

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The Application of Imperialist Competitive Algorithm in Determining the Optimal Parameters of Empirical Area Reduction Method to Predict the Sedimentation Process in Dez Dam by Arash Azari, Sadegh Soori Hossein Bonakdari, Hossein Bonakdari

“…Dez dam is located on the Dez River at 23 km northeast of Andimeshk. Area reduction empirical method was used to predict the sedimentation process in the reservoir. …”
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Application of AI-based Predictive Maintenance for Industrial Processes by Marko Fabić

“…Predictive maintenance (PdM) is emerging as a key element of modern industry, enabling a significant reduction in downtime, an increase in operational efficiency and a reduction in maintenance costs. …”
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Application of Generalized Predictive Control in Sewage Treatment Process by SONG Guohui

Subjects: “…generalized predictive control…”
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Analysis OF information predictability OF process with random structure by A. V. Ausiannikau, V. M. Kozel, K. A. Kharytovich

Subjects: “…information predictability…”
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Predictions on Pre-cooling Process of Potato Seeds by 孙勇, 陈忠海, 冀卫兴, 曲春民

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Information predictability of stochastic processes in discrete time by A. V. Ausiannikau, V. M. Kozel

“…The definition of one-step information predictability stochastic process in discrete time is given. …”
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Predictability in process-based ensemble forecast of influenza. by Sen Pei, Mark A Cane, Jeffrey Shaman

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Information predictability of stochastic processes in continuous time by A. V. Ausiannikau

“…The definition of information predictability stochastic process and its parameters is given in the article. …”
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Economic Model Predictive Control for Wastewater Treatment Processes Based on Global Maximum Error POD-TPWL by Zhiyu Wang, Jing Zeng, Jinfeng Liu

“…To address the challenge of low computational efficiency in nonlinear Economic Model Predictive Control (EMPC) for large-scale systems such as wastewater treatment plants (WWTPs), this paper proposes a Trajectory Piecewise Linearization (TPWL)-based EMPC framework integrated with global maximum error control (GMEC) and Proper Orthogonal Decomposition (POD). …”
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PREDICTIVE ASSESSMENT OF TECHNICAL MEANS OF FEED GRAIN PROCESSING FOR LIVESTOCK by Dmitry I. Chistyakov

“…A process model for forming technical-and-economic indices in estimating mechanical equipment for feed grain processing for livestock is offered. …”
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Uncertainty-Aware Predictive Process Monitoring in Healthcare: Explainable Insights into Probability Calibration for Conformal Prediction by Maxim Majlatow, Fahim Ahmed Shakil, Andreas Emrich, Nijat Mehdiyev

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