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    Advanced data-driven fault detection in gas-to-liquid plants by Nour Basha (21385547)

    Published 2025
    “…In this paper, a novel extension of the Generalized Likelihood Ratio charts is proposed, denoted as the Maximum Multivariate GLR charts. Linear and nonlinear data-driven models, namely principal component analysis and its kernel extension and <u>neural networks</u>, are combined with different statistical charts towards the detection of multiple fault types in three distinct case studies: synthetic, Tennessee Eastman process, and Gas-to-Liquid process. …”
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    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

    Published 2024
    “…Unfortunately, PCA’s reliability drops when data has nonlinear characteristics as industrial processes. …”
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    Keyed Watermarks: A Fine-grained Tracking of Event-time in Apache Flink by Yasser, Tawfik

    Published 2023
    “…In this paper, we present a novel strategy called keyed watermarks to overcome data loss and increase the accuracy of data processing to at least 99% in most cases. …”
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    Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials by Abdul Wahab Ziaullah (16027076)

    Published 2023
    “…The objective of this methodology is to simulate a time-consuming sequential data-gathering process and approximate the next k-potential candidates, quickly. …”
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    From PMO to PMOCoE: How Manage Project Knowledge Process Improves Quality of Organization Knowledge Management Assets Cases from UAE by Al-Nakeeb, Ahmed

    Published 2024
    “…This qualitative data helps to reach the best understanding of the literature review and analysis of some local cases in the UAE. …”
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    A Mediation Layer for Connecting Data-Intensive Applications to Reconfigurable Data Nodes by Jomaa, Mohamad

    Published 2013
    “…One of those challenges is developing approaches and mechanisms that render high performance in processing and storing data. We joined this research effort by proposing a reconfigurable active solid state drives (RASSD) system that deals with such applications, through employing basic hardware, namely FPGA's connected to SSD's, to service the above applications as processing nodes, and take advantage of the close proximity between storage and processing. …”
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    The Role of a Facilitator in Co-Design Applications for Exploratory Analysis in Domains of High Complexity: The Case of MAHiCGO by Talar B. Yacoubian (16896378)

    Published 2021
    “…</p><h3>Results</h3><p dir="ltr">We identified the need for an interactive visual analytic tool for exploratory analysis of biological data. We describe the process of developing MAHiCGO, a novel tool for the simultaneous visualization of MA Gene Expression data, Hi-C data and Gene Ontology (GO) information in an interactive manner for the exploratory analysis of biological data. …”
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    Data collection in wireless sensor networks using UAV and compressive data gathering by Ebrahimi, Dariush

    Published 2019
    “…Fifth generation wireless networks are expected to provide advanced capabilities and create new markets spanning a wide range of use cases. Among these, massive IoT is standing out with the proliferation of sensors and wearable devices that continuously monitor and transmit data for further processing. …”
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    Impact of Sampling Technique on the Performance of Surrogate Models Generated with Artificial Neural Network (ANN): A Case Study for a Natural Gas Stabilization Unit by Mohamed Ibrahim (3465677)

    Published 2019
    “…<div><p>Data-driven models are essential tools for the development of surrogate models that can be used for the design, operation, and optimization of industrial processes. …”