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    Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials by Abdul Wahab Ziaullah (16027076)

    Published 2023
    “…<div><p>Artificial intelligence is now extensively being used to optimize and discover novel materials through data-driven search. …”
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    Assessing the effectiveness of probe vehicle acceleration measurements in estimating road roughness by El Khoury, John

    Published 2015
    “…The reason the PVRI is used rather than the IRI is that acceleration measurements obtained from a probe vehicle represent the response of the full car rather than a quarter car. …”
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    Applying value-based strategies to accelerate access to novel cancer medications: guidance from the Oncology Health Economics Expert Panel in Qatar (Q-OHEP) by Anas Hamad (9545771)

    Published 2023
    “…</p><h3>Results</h3><p dir="ltr">Some of the salient recommendations included the development of a formal, fast-track, preliminary approval pathway for drugs needed by patients with severe disease or in critical condition; and encouraging and promoting the conduct of local clinical trials and real-world observational studies using existing registry data. The Q-OHEP also recommended implementing a forecast system using treatment center data based on the supply/demand of formulary oncology drugs to detect treatment patterns, estimate needs, expedite procurement, and prevent shortages/delays. …”
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    Facilitating Decisions by Using a Data – Driven - Decision Making for Management Using Business Intelligence Case Study: Social-Services Departments in the Emirate of Sharjah by AL KETBI, WADHA RASHID

    Published 2019
    “…Many governmental and private institutions have much data, which are not used properly. Therefore, they are stored for a long period and this leads to using all the servers found there. …”
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    An Empirical Study on Measuring Operating Efficiency and Revenue of Real Estate Assets in the UAE Using Data Envelopment Analysis by Alafeefi, Abdulrahman

    Published 2019
    “…This thesis tries to fill this gap by investigating efficiency in real estate. Data envelopment analysis was used as the main methodology in this research. …”
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    Assessing the risk of vibration-induced fatigue in process pipework using convolutional neural networks by Ahmed Mohamed (628889)

    Published 2025
    “…Several CNN architectures using time-domain acceleration data and continuous wavelet transform (CWT) images are evaluated to identify the most effective approach for classifying vibration states. …”
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    Datasets for recognition of aggressive interactions of children toward robotic toys by Ahmad Yaser Alhaddad (7017434)

    Published 2021
    “…<p dir="ltr">The data is related to unwanted interactions between a person and a small robotic toy based on acceleration sensor embedded within the robotic toy. …”
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    The Confluence of Big Data and Cloud Computing in SME Adoption Strategies by El Skafi, Mahmoud Ahmad

    Published 2025
    “…By examining 30 articles, the objectives of the paper are to analyze data derived from articles as well as to study the academic frameworks used in both developing and developed nations. …”
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    Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data by Alaa Awad Abdellatif (17151163)

    Published 2022
    “…This work focuses on a generic class of machine learning models that are trained using gradient-descent-based schemes while considering the practical constraints of non-uniformly distributed data across different users. …”
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    Analyzing and Simulating Traffic Collision Data to Recommend Policy for Autonomous Taxi Deployment in Dubai by MAHBOOB, MOHAMED

    Published 2023
    “…The thematic analysis was used to identify the experts’ ideas and thoughts using Nvivo software. …”
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    FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

    Published 2020
    “…Further, and since software-based classifiers cannot meet the anticipated real-time requirements, we propose a Field-Programmable Gate Array (FPGA) based random forest implementation that utilizes a highly pipelined architecture to accelerate such a time-consuming task. The proposed design achieves an average throughput of 163.24 Gbps, exceeding throughputs of reported hardware-based classifiers that use comparable approaches, which in turn ensures the continuity of realtime traffic classification at congested data centers.…”
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    Detecting sleep outside the clinic using wearable heart rate devices by Ignacio Perez-Pozuelo (14153007)

    Published 2022
    “…Recording periods included both 24 h free-living and conventional lab-based night-only data. We compared our optimized method against polysomnography, sleep diaries and sleep periods produced through a state-of-the-art acceleration based method. …”
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