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  1. 1

    Coarse-grain method for simulating the thermal behavior of buildings by Abi Shdid, Caesar

    Published 2017
    “…The proposed method uses a coarse-grain approach to model development whereby each element represents a complete building component such as a wall, internal space, or floor. …”
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    conferenceObject
  2. 2

    An Exemplar Pyramid Feature Extraction Based Alzheimer Disease Classification Method by Heba Soliman Zaina (16904787)

    Published 2022
    “…In term of binary-class classification, we were able to achieve very good results using both GM and WM. …”
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    Exploring the potential of onboard energy scavenging subsystems for generating valuable data by Raziq Yaqub (16488878)

    Published 2023
    “…This gathered data is seamlessly synchronized with GPS coordinates and timestamps, meticulously organized within a system architecture, and harnessed through meticulously crafted Python code. The wealth of data that we obtain from an onboard energy scavenging subsystem holds significant potential. …”
  5. 5

    Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling by Abi-Shdid, C.

    Published 2004
    “…This paper reports on the development of a new approach for simulating the thermal behavior of buildings that overcome the limitations of conventional heat-transfer simulation methods such as the finite difference method and the finite element method. …”
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    article
  6. 6

    Perceptions and Views Regarding the Role of the Special Educational Needs and Disabilities Coordinators (SENDCos) and Challenges Affecting the Role in the United Arab of Emirates (... by HAMMAD, AMAL

    Published 2017
    “…It is noticeable that the UAE represents a unique context where many social and economic changes have been made over the last few decades. …”
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  7. 7

    A combined multiple action recognition and summarization for surveillance video sequences by Omar Elharrouss (14150895)

    Published 2022
    “…The multiple action detection extracts human bodies’ silhouette, then generates a specific sequence for each one of them using motion detection and tracking method. Each of the extracted sequences is then divided into shots that represent homogeneous actions in the sequence using the similarity between each pair frames. …”
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    A Stackelberg Game Inspired Model of Real-Time Economic Dispatch with Demand Response by Shakrina, Youssef

    Published 2021
    “…Traditional electric power systems have several challenges in maintaining their reliability and being able to meet the demand of the consumers at peak hours. …”
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    masterThesis
  9. 9

    Towards Routine Clinical Use of Dosimetry in [177Lu]Lu-PSMA Prostate Cancer Radionuclide Therapy: Current Efforts and Future Perspectives by Rahaf Alsadi (19517740)

    Published 2022
    “…Its translation into clinical routine practice can be achieved with the confirmation that dose calculation represents good clinical efficacy and low treatment-related toxicity. …”
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    Developments in hyper real-time simulation of transient heat-flow in buildings by Abi Shdid, Caesar

    Published 2017
    “…This paper reports on the latest results in the development of a new approach for simulating the thermal behavior of buildings that overcomes the limitations of conventional heat-transfer simulation methods such as FDM and FEM. The proposed technique uses a coarse-grain approach to model development whereby each element represents a complete building component such as a wall, internal space, or floor. …”
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    conferenceObject
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    Concise fuzzy representation of big graphs by Abu-Khzam, Faisal N.

    Published 2018
    “…The enormous amount of data to be represented using large graphs exceeds in some cases the resources of a conventional computer. …”
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    article
  14. 14

    Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data by Arfan Ahmed (17541309)

    Published 2023
    “…The use of such biomarkers to monitor glycemic events represents a major shift in technology for self-monitoring and developing digital biomarkers using non-invasive WDs. …”
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    Human leukocyte antigen class II gene diversity tunes antibody repertoires to common pathogens by Taushif Khan (691254)

    Published 2022
    “…By applying a high-throughput method for large-scale antibody profiling to this well-defined cohort, we were able to dissect the overall effect of zygosity for classical HLA class II genes, as well as the effects associated with specific HLA class II alleles, haplotypes and genotypes, on the antimicrobial antibody repertoire breadth and antibody specificity with unprecedented resolution. …”
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    Root Causes of Delays in the Construction Projects in the UAE Public Sector and the Client’s Project Manager role in Mitigation by ATOUT, SAMI MAMOON MOUSA

    Published 2021
    “…Qualitative and quantitative methods were approached to investigate the research problem, answer the research questions, meet the research objectives, and achieve the research aim. …”
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  17. 17

    Arabic Sign Language Recognition: A Deep Learning Approach by ALMAHRI, HAMDA GHALIB AWADH ALI

    Published 2022
    “…Out of those, 32 studies passed our full selection procedure. We were able to discover patterns in research and find that the biggest issue is data collection as current datasets don’t offer enough variety and are not representative of real-life scenarios. …”
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    Trade Flow and Nation Brand Distance: A Structural Gravity Model Approach by AL BESHER, HUDA ISMAIL

    Published 2021
    “…Using a quantitative research method, this thesis has investigated both export and import flow between United States and its 36 major trading partners from 1993 to 2016. …”
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    Some considerations on the melting of reactor fuel plates and rods by Lahoud, Antoine

    Published 1975
    “…This paper considers the gross melting of fuel plates and rods and seeks to estimate the extent of melting and the rapidity with which it occurs. Methods of analysis are presented in detail in the present exploratory study. …”
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    article
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    Generative Deep Learning to Detect Cyberattacks for the IoT-23 Dataset by Abdalgawad, Nada

    Published 2021
    “…Signature-based intrusion detection systems are traditional countermeasures for such attacks. However, these methods rely on human experts and are time-consuming in terms of updates and may not exhaust all attack types especially zero-day attacks. …”
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    article