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  1. 1

    Towards Scalable Process Mining Pipelines by Mohamed, Belal

    Published 2023
    Subjects: “…Measurement,Organizations,Computer architecture,Big Data,Data mining,Proposals,Pipeline processing…”
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    Novel optical gates for data acquisition and processing: opticalwavelength division multiplexer by Yahya, C.B.

    Published 1995
    “…In this paper, the use of optical logic gates as a building block in high speed, high data rate, signal processing and data acquisition applications, will be investigated. …”
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    article
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    LocationSpark: In-memory Distributed Spatial Query Processing and Optimization by Mingjie Tang (227920)

    Published 2020
    “…<p>Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. …”
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    Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems by Ahmad K. Sleiti (14778229)

    Published 2022
    “…The data-driven approach alone is not sufficient and a low-order physics based model should operate in tandem with the updated latest system parameters to allow interpretation and enhancing the results from the data-driven process. …”
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    Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing by Kashif Ahmad (12592762)

    Published 2022
    “…We also provided a large-scale benchmark data set. We believe the presented analysis, data set, and proposed solutions combined with a user-friendly interface can be used as a rapid surveillance tool to analyze and monitor mobile apps deployed in emergency situations leading to rapid changes in the applications without going through an intense participatory design method.…”
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    Sulfur oxidative coupling of methane process development and its modeling via machine learning by Giovanni Scabbia (13751501)

    Published 2022
    “…The outcomes of the simulated process were used to design a data-driven modeling approach, based on machine learning methods, and to evaluate its interpolation accuracy. …”
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