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    Simulating and comparing various price-driven bid selection methods from an owner's perspective. (c2017) by Ammoury, Michael Fayez

    Published 2017
    “…Thus, there is a need to explore alternative competitive price-driven bidding methods which can preserve the transparency of the low bid method and at the same time remedy the inconvenience of unrealistic low bids. …”
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    masterThesis
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    Computational Modeling of Motile Cilia-Driven Cerebrospinal Flow in the Brain Ventricles of Zebrafish Embryo by Huseyin Enes Salman (15944811)

    Published 2022
    “…In conclusion, our simulations revealed that the most efficient method for cilia-driven fluid transport relies on the alignment of multiple cilia beating with a phase difference, which is also observed in vivo in the developing zebrafish brain.…”
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    Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

    Published 2023
    “…Here, we present an efficient two-stage data-driven approach for analyzing and designing membrane-type metasurface absorbers with desirable characteristics. …”
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    A simplified model for unsteady pressure driven flows in circular microchannels of variable cross-section by Issa, Leila

    Published 2018
    “…In this paper, we present a fast and accurate model for unsteady pressure-driven flows in circular microchannels of variable cross-section. …”
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    article
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    AI-driven cybersecurity framework for software development based on the ANN-ISM paradigm by Habib Ullah Khan (12024579)

    Published 2025
    “…A case study was conducted in the last stage to test and evaluate the AI-driven cybersecurity Mitigation Model for Secure Software Coding. …”
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    Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control by Farhat Mahmood (15468854)

    Published 2021
    “…The proposed method consists of a multilayer perceptron model representing the greenhouse system integrated with an objective function and an optimization algorithm. …”
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    A data-driven approach for fault diagnosis in multi-zone HVAC systems: Deep neural bilinear Koopman parity by Fatemeh Negar Irani (16410087)

    Published 2023
    “…This yields a reliable, accurate, and interpretable data-driven framework. The method requires no prior HVAC dynamics knowledge, relying solely on normal operation data. …”
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    Neutral and risk-sensitive models for competitive bidding methods based on average and order statistics by Awwad, Rita Elias

    Published 2010
    “…Monte Carlo simulation approach is used to study and model average-based bidding methods where the winning bid is defined in relation to the average of submitted bids. …”
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    masterThesis
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    Modeling the effects of capillary pressure with the presence of full tensor permeability and discrete fracture models using the mimetic finite difference method by Abdul Salam Abd (14151648)

    Published 2021
    “…We can conclude that our novel MFD method can handle the fluid flow problems in discrete-fractured reservoirs. …”
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    Computational Methods for the Analysis and Prediction of EGFR-Mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects by Rizwan Qureshi (15279193)

    Published 2023
    “…Personalized drug resistance prediction models, drug response curve, drug synergy, and other data-driven methods are also discussed. …”
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    Real-Time Green View Index Assessment: AI-Driven Analysis of Urban Vegetation Using Dashcam Videos by Karam Masad (22827149)

    Published 2025
    “…This allows for making data-driven decisions when addressing sustainable urban planning. …”
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    The second low bid method by Awwad, Rita

    Published 2017
    “…This paper uses Monte Carlo simulation approach to analyze and model the second low bid method where the contractor whose bid is the second lowest one among submitted bids is awarded the contract. …”
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    conferenceObject
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    Layout Driven Binding In High Level Synthesis Using Reinforcement Learning by Melhem, Marie-Claire

    Published 2021
    “…The approach proposes a layout-driven data path allocation method, and explores design tradeoffs among operators binding, registers assignments, and flooplanning shape functions. …”
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    masterThesis