Precision Evaluation Methods of Petri Nets Modelling Discrete-Event Processes by Ernesto López-Mellado, Rubén Barragán-Pérez

“…In process mining, conformance checking determines the quality of discrete-event process models through several measures computed with respect to a set of event sequences λ from which the model N is obtained. …”
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Analytical Fuzzy Predictive Control Applied to Wastewater Treatment Biological Processes by Pedro M. Vallejo LLamas, Pastora Vega

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Gaussian processes enabled model calibration in the context of deep geological disposal by Lennart Paul, Jorge-Humberto Urrea-Quintero, Umer Fiaz, Ali Hussein, Hazem Yaghi, Joachim Stahlmann, Ulrich Römer, Henning Wessels

“…By significantly reducing computational demands, this approach facilitates faster design iterations and enhances the interpretation of monitoring data. …”
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Modeling of regasification and recirculation processes during the transportation of liquefied natural gas by A. Yu. Baranov, E. S. Seredenko, T. A. Malysheva, Yu. A. Kravchenko

“…The study is based on the methods of thermodynamic analysis, full-scale and computational modeling of processes and objects of refrigeration and cryogenic equipment in order to find optimal solutions in terms of efficiency, reliability and service life of low-temperature installations, machines and apparatus.Result. …”
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Deep learning model for recognizing fresh and rotten fruits in industrial processes by Carlos Arias, Camilo Baldovino, José Gómez, Brian Restrepo, Sergio Sánchez

“… The detection of fruit condition is essential to ensure quality control in industrial processes. Currently, this task is often performed manually, which is inefficient and time-consuming for operators. …”
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Physical Modeling of Thermal Processes of the Air Solar Collector with Flow Turbulators by Vasyl Zhelykh, Khrystyna Kozak, Olexandra Dzeryn, Volodymyr Pashkevych

“…We found out that in the air channel of the solar collector there is a transitional movement of the heat carrier, and the maximum coefficient of convective heat exchange between the turbulator of flow and air is observed at the angle of inclination of the heat absorber of 45 deg. The computer simulation of thermal processes occurring in the air channel of the solar collector was carried out and we discovered that the power of the proposed SAC increased by 23% compared to the solar collector with a flat heat-absorbing plate.…”
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Two periodic solutions of neutral difference equations modelling physiological processes by Jun Wu, Yicheng Liu

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Integration Processes of Delay Differential Equation Based on Modified Laguerre Functions by Yeguo Sun

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Efficiency of Four Virtual LANs Switches with Equal Processing Times by Jassim Abdul-Jabbar, Wijdan Al-Karim, Rana Mohamed

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Convert Autoregressive Process from Direct to Continuous Time with Application by Abdulghafoor Salim, Nihal Hamid

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UAV With the Ability to Control with Sign Language and Hand by Image Processing by Hediyeh Hojaji, Alireza Delisnav, Mohammad Hossein Ghafouri Moghaddam, Fariba Ghorbani, Shadi Shafaghi, Masoud Shafaghi

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Processing of Scheduling Problems in the Job Shop Using Fuzzy Logic by Baydaa Bhnam

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Integration of Individual Processes and Information Demand Patterns: A Conceptual Analysis by Michael Leyer, Kurt Sandkuhl

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Multilabel Classification for Entry-Dependent Expert Selection in Distributed Gaussian Processes by Hamed Jalali, Gjergji Kasneci

“…By distributing the training process, local approximation reduces the cost of the standard Gaussian process. …”
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Business Processes Modeling Recommender Systems: User Expectations and Empirical Evidence by Michael Fellmann, Novica Zarvić, Oliver Thomas

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OPTIMAL ESTIMATION OF RANDOM PROCESSES ON THE CRITERION OF MAXIMUM A POSTERIORI PROBABILITY by A. A. Lobaty, Y. F. Yacina, N. N. Arefiev

“…The problem of obtaining the equations for the a posteriori probability density of a stochastic Markov process with a linear measurement model. Unlike common approaches based on consideration as a criterion for optimization of the minimum mean square error of estimation, in this case, the optimization criterion is considered the maximum a posteriori probability density of the process being evaluated.The a priori probability density estimated Gaussian process originally considered a differentiable function that allows us to expand it in a Taylor series without use of intermediate transformations characteristic functions and harmonic decomposition. …”
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Copper Nodule Defect Detection in Industrial Processes Using Deep Learning by Zhicong Zhang, Xiaodong Huang, Dandan Wei, Qiqi Chang, Jinping Liu, Qingxiu Jing

“…Copper electrolysis is a crucial process in copper smelting. The surface of cathodic copper plates is often affected by various electrolytic process factors, resulting in the formation of nodule defects that significantly impact surface quality and disrupt the downstream production process, making the prompt detection of these defects essential. …”
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Comprehensive Evaluation of Techniques for Intelligent Chatter Detection in Micro-Milling Processes by Guilherme Serpa Sestito, Wesley Angelino De Souza, Alessandro Roger Rodrigues, Maira Martins Da Silva

“…This reduction is essential for implementing strategies for in-process chatter detection.…”
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THE TASK OF MINIMAX ADAPTIVE MANAGEMENT OF INNOVATIVE PROCESSES AT AN ENTERPRISE WITH RISK ASSESSMENT by Vitalina Babenko, Elena Alisejko, Zoya Kochuyeva

“…The following conclusions are made: the suggested method makes it possible to work out efficient numerical procedures that enable computer modelling the dynamics of the target task, developing adaptive minimax management of EIP and obtaining an optimal guaranteed result. …”
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Sustainable digital education technologies: an analysis of selection processes in European universities by Özge Okur, Morris Huang, Lorenzo Angeli, Haiko van der Voort, Yilin Huang

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