Výsledky vyhľadávania - "Process Data Analysis"

Probabilistic slow feature analysis-based representation learning from massive process data for soft sensor modeling Autor Shang, Chao, Huang, Biao, Yang, Fan, Huang, Dexian

“…Latent variable (LV) models provide explicit representations of underlying driving forces of process variations and retain the dominant information of process…”
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Individual contributions in student-led collaborative learning: Insights from two analytical approaches to explain the quality of group outcome Autor Volet, Simone, Vauras, Marja, Salo, Anne-Elina, Khosa, Deep

“…This study explored the characteristics of individual contributions to student-led productive collaborative learning as it takes place in real time. Two…”
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Monitoring of operating point and process dynamics via probabilistic slow feature analysis Autor Guo, Feihong, Shang, Chao, Huang, Biao, Wang, Kangcheng, Yang, Fan, Huang, Dexian

“…Traditional multivariate statistical process monitoring (MSPM) approaches aim at detecting deviations from the routine operating condition. However, if the…”
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Supervised Latent Factor Analysis for Process Data Regression Modeling and Soft Sensor Application Autor Ge, Zhiqiang

“…This brief proposed a new supervised latent factor analysis (FA) method for process data regression modeling. Different from the traditional principal…”
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Disengaged response behavior when the response button is blocked: Evaluation of a micro-intervention Autor Persic-Beck, Lothar, Goldhammer, Frank, Kroehne, Ulf

“…In large-scale assessments, disengaged participants might rapidly guess on items or skip items, which can affect the score interpretation’s validity. This…”
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Business process mining from e-commerce event web logs: Conformance checking and bottleneck identification Autor Siek, M, Mukti, R M G

“…A range of advanced methods have been formulated and utilized in the efforts of improving the business processes in many enterprises. One impacting enhancement…”
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ProcData: An R Package for Process Data Analysis Autor Tang, Xueying, Zhang, Susu, Wang, Zhi, Liu, Jingchen, Ying, Zhiliang

“…Process data refer to data recorded in log files of computer-based items. These data, represented as timestamped action sequences, keep track of respondents’…”
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Analysis of a Logistics Process Based on the Event Log Autor Napieraj, Aneta, Pyzik, Natalia

“…This article presents an analysis of a logistics process using process mining methods. Additionally, it highlights the possibilities of analyzing industrial…”
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Combining Process Information and Item Response Modeling to Estimate Problem‐Solving Ability Autor Xiao, Yue, Veldkamp, Bernard, Liu, Hongyun

“…The action sequences of respondents in problem‐solving tasks reflect rich and detailed information about their performance, including differences in…”
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Tools for Process Data Analysis and Process Improvement Autor Bush, D., Schmidt, G.

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Core and activity-specific functional participatory roles in collaborative science learning Autor Heinimäki, Olli-Pekka, Volet, Simone, Vauras, Marja

“…Prior research on the significance of roles in collaborative learning has explored their impact when they are pre-assigned to group members. In this article,…”
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Fault Location of Strip Steel Surface Quality Defects on Hot-Rolling Production Line Based on Information Fusion of Historical Cases and Process Data Autor Wang, Zhaoping, Wang, Jian, Chen, Sen

“…Surface quality is the most important index to improve the overall quality of strip steel. In order to implement the fault location on the hot-rolling line…”
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Partial Least Squares Regression-Based Robust Forward Control of the Tableting Process Autor Hattori, Yusuke, Naganuma, Miki, Otsuka, Makoto

“…In this study, we established a robust feed-forward control model for the tableting process by partial least squares regression using the near-infrared (NIR)…”
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Partial Least Squares Regression-Based Robust Forward Control of the Tableting Process Autor Hattori, Yusuke, Naganuma, Miki, Otsuka, Makoto

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Advanced data analysis and process monitoring across manufacturing plants using multilevel methods Autor de Noord, Onno E.

“…Three‐level versions of Multilevel Simultaneous Component Analysis (MLSCA) and Multilevel Partial Least Squares (MLPLS) were developed, which are capable of…”
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Adaptive Tempering in High-Pressure Die Casting through Prediction Functions Autor Disselhoff, Torben, Tewes, Sebastian, Biehl, Sebastian

“…Digitisation and cross-linking in high-pressure die castingHigh-pressure die casting technology (HPDC) have developed greatly over the past few years. In…”
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Process Data Acquirement and Analysis for the Online Experiment in Principles of Communications Autor Xu, Zhengguang, Hei, Xiaojun, Qu, Daiming

“…An online experiment platform for principles of communications has been successfully built in the early work. After one year of platform operation, it is found…”
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Advances in the Smart Data Analytics Framework: Integrating Data Extraction and Automated Reporting Autor Mohan Rao, Harikrishna Rao, Chen, Tongwen, Shah, Sirish L.

“…The efficient fusion of information from different data silos in a process plant is essential for a smart data analytics platform. Researchers have developed a…”
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Applying Fellegi-Sunter (FS) Model for Traceability Link Recovery between Bug Databases and Version Archives Autor Sureka, A., Lal, S., Agarwal, L.

“…Defect tracking systems such as Bugzilla and JIRA and source code version control systems such as CVS and SVN are widely used applications to support software…”
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Process Data Analysis Autor Stefanov, Zdravko I., Herceg, Eldad, Schmidt, Carla, Jacobson, David M., Livingston, Dana, Chauvel, J.P., Chaudhary, Sunil Kumar, Christenson, Christopher Paul

“…The process data analysis is another important tool in the arsenal of tools used in plant problem solving. The analysis of the process data can lead to the…”
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