Simulation Modeling of Technological Processes of Logging by Konstantin P. Rukomojnikov, Tatiana V. Sergeeva, Tatiana A. Gilyazova, Evgeny М. Tsarev, Vera P. Komisar

Subjects: “…technological technological process of logging operations…”
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On Process Model Synthesis Based on Event Logs with Noise by A. A. Mitsyuk, I. S. Shugurov

Subjects: “…process mining…”
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Using Event Logs for Local Correction of Process Models by Alexey A. Mitsyuk, Irina A. Lomazova, Wil M.P. van der Aalst

“…To correct the model, the information from the event log of the system may be used. In this paper, we consider the problem of process model adjustment (correction) using the information from an event log. …”
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The Impacts of Blue Stain Degradation on the Industrial Processing Properties of logs by Osman Komut, Atakan Öztürk

“…This study aims to determine the effects of blue stain degradation on manufacturing process of forest industry managements processing log and the losses caused by this. …”
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Log File Times as Indicators of Structured Figural Matrix Processing by Dominik Weber, Marco Koch, Frank M. Spinath, Florian Krieger, Nicolas Becker

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HERMITE-HADAMARD TYPE INEQUALITIES FOR LOG-CONVEX STOCHASTIC PROCESSES by Muharrem Tomar, Erhan Set, Selahattin Maden

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Discovering High-Level Process Models from Event Logs by Antonina A. Begicheva, Irina A. Lomazov

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Log-Driven Behavior Discrimination of Process Robots Using Entropy Similarity by Lu Li, Huan Fang

Subjects: “…Robotic process automation (RPA)…”
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A Process Tree-Based Incomplete Event Log Repair Approach by Qiushi Wang, Liye Zhang, Rui Cao, Na Guo, Haijun Zhang, Cong Liu

Subjects: “…process mining…”
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DOES YOUR EVENT LOG FIT THE HIGH-LEVEL PROCESS MODEL? by A. K. Begicheva, I. A. Lomazova

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Reliable Process Tracking Under Incomplete Event Logs Using Timed Genetic-Inductive Process Mining by Yutika Amelia Effendi, Minsoo Kim

Subjects: “…incomplete event log…”
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Correction Processing Method and Application of Induction Logging Tool in Highly Deviated Wells by LIU Jiacheng

“…To solve the problem of tilt correction processing technology encountered in the application of induction logging tool in highly deviated wells, starting from the theoretical model and method of induction logging in deviated wells, an actual measurement signal processing algorithm is established. …”
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Predictive diagnostics of computer systems logs using natural language processing techniques by Vladislav A. Kiriachek, Soltan I. Salpagarov

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ProcessM: Intelligent Process Mining software by Tomasz P. Pawlak, Jędrzej Potoniec

“…It integrates with multiple database management systems to extract and transform data into event logs, and monitor databases for new events. ProcessM generates process models in standard representations like BPMN and tracks changes in processes. …”
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Analysis of Students’ Academic Performance using LMS Event Logs by Nikita D. Shaimov, Irina A. Lomazova, Alexey A. Mitsyuk, Ilya Yu. Samonenko

Subjects: “…process analysis…”
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Quality Metrics for Business Process Event Logs Based on High Frequency Traces by Mohsen Mohammadi

Subjects: “…: process quality…”
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Progress and Prospect for Machine Learning Applied in NMR Logging by LUO Gang, LUO Sihui, XIAO Lizhi, FU Shaoqing, ZHANG Jiawei, SHAO Rongbo

Subjects: “…nuclear magnetic resonance logging…”
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Implementation and Applications of Intelligent Batch Processing Technology for Isotope Injection Profile Logging Interpretation by SUN Liang

“…Isotope injection profile logging is the main monitoring method for understanding the water absorption status of each sub layer in water drive oilfields. …”
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Using Logs to Reduce the Impact of Process Variability and Dependence on Practitioners in Requirements Engineering for Traditional Business Process Automation Software by Thiago Medeiros de Menezes, Ana Carolina Salgado

“…Objective: This work proposes Requirements with Logs (RWL), a log-based approach for TBPA software to reduce the impact of these issues, by providing a higher alignment among business process requirements and software architecture, and employing process mining to semi-automatically discover the business process during requirements elicitation. …”
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Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes by Achmad Choiruddin, Ekky Rino Fajar Sakti, Tintrim Dwi Ary Widhianingsih, Jorge Mateu, Kartika Fithriasari

“…Despite limited applications in multivariate point pattern analysis, this study aims to introduce deep learning as a tool for parameter estimation of the multivariate spatio-temporal log-Gaussian Cox Process (LGCP) model. We employ the concept of probabilistic deep learning, ensuring that each estimated parameter follows a certain distribution that aligns with its assumption. …”
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