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  1. 101

    Renewable energy for carbon footprint reduction of green geopolymers material’s production for built-environment by S.A. Khan (7943858)

    Published 2022
    “…However, the preparation of the CDW-based geopolymers involves energy-intensive mechanical, thermal, and chemical processes. …”
  2. 102

    Cyberbullying Detection in Arabic Text using Deep Learning by ALBAYARI, REEM RAMADAN SA’ID

    Published 2023
    “…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies. …”
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  3. 103
  4. 104
  5. 105

    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins by Samir Brahim, Belhaouari

    Published 2025
    “…These algorithms were employed to distinguish and categorize bacterial endotoxins, following appropriate spectral pre-processing, which involved novel filtering techniques and advanced feature extraction methods. …”
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    article
  6. 106

    A New Management Model for Higher Education in Dubai-UAE: Quality Management in Alignment with Professional Autonomy by Rabah, Iman

    Published 2014
    “…The methodology uses meta-analysis for the TQM literature and involves collecting interpretations and narratives from academics to study the positive and negative influences of quality management practices on research and the teaching process. …”
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  7. 107

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

    Published 2024
    “…Unsupervised machine learning is a powerful technique for performing clustering, which involves identifying patterns or similarities within a dataset and grouping them into distinct clusters or subgroups. …”
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    masterThesis
  8. 108
  9. 109

    Comparative study of LNG, liquid hydrogen, and liquid ammonia post-release evaporation and dispersion during bunkering by Hongjun Fan (1388040)

    Published 2024
    “…Two release scenarios were considered: Scenario 1 involved a release of 0.3 m<sup>3</sup> of fuel, and Scenario 2 involved a release of 100 kg of fuel. …”
  10. 110

    Whole genome sequencing of extended-spectrum β-lactamase producing Klebsiella pneumoniae isolated from a patient in Lebanon by Tokajian, Sima

    Published 2015
    “…The final draft genome sequence consists of a combined 5,632,663 bases with 57% G+C content. Automated annotation was performed using the RAST annotation server. …”
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    article
  11. 111

    A case study in model selection for policy engineering by Harb, Hassan

    Published 2012
    “…The progress of containers through customs is more often an exercise in negotiation rather than a structured queuing process. As soon as a regulatory process involves negotiation, corruption becomes a factor. …”
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    conferenceObject
  12. 112

    Recent advances in the solar thermochemical splitting of carbon dioxide into synthetic fuels by Zahidul Islam Rony (21398015)

    Published 2022
    “…The process involves the reduction of metal oxide (MO) and oxidizing it with CO<sub>2</sub> in a two-step process using concentrated solar power (CSP) at higher and lower temperatures, respectively. …”
  13. 113

    Sustainable energy-water-food nexus integration and optimisation in eco-industrial parks by Jamileh Fouladi (16932549)

    Published 2021
    “…The case study involves various chemical processes operating in the State of Qatar, which is evaluated to ascertain resource efficiency enhancement possibilities across various scenarios, and considers multiple objectives to capture the trade-offs between minimising the total annual cost and environmental emissions. …”
  14. 114

    Statistical analysis of air-gap membrane desalination experimental data: Hypothesis testing by Alcheikh Hamdona, Azza

    Published 2015
    “…Membrane distillation (MD) is a process in which the driving force for mass transfer is temperature gradient rather than conventional ones based on density, static pressure, chemical nature, affinity, and freezing point gradients. …”
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    article
  15. 115

    The Impact of Teacher Leadership on Teacher’s Performance and Students’ Development for School Improvement: a case study of Dubai Private Kindergarten by ALSHIZAWI, FATIMA ALI

    Published 2023
    “…The results of the quantitative analysis of the study indicated that teachers are often involved in certain leadership roles, as measured by questionnaire items. …”
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  16. 116

    Understanding an Extension Technology Acceptance Model of Google Translation: A Multi-Cultural Study in United Arab Emirates by Saeed Al-Maroof, Rana

    Published 2020
    “…It is assumed that us ers' attitude towards GT may vary based on the language used. The variations in languages are unidirectional where at least two languages are involved in this process. …”
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  17. 117

    Prediction Of Boilers Emission Using Polynomial Networks by Elshafei, M.

    Published 2020
    “…The generated data is then used to train and test the developed neural network softsensors for emission prediction based on the conventional process variable measurements. …”
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    article
  18. 118

    Non-Wettable Microporous Sheets Using Mixed Polyolefin Waste for Oil–Water Separation by Junaid Saleem (14670322)

    Published 2023
    “…<p dir="ltr">Mixed polyolefin-based waste needs urgent attention to mitigate its negative impact on the environment. …”
  19. 119

    Detection of Depression in Arabic Social Media: A Comparison of Traditional and Modern Machine Learning Algorithms by ALSHEHHI, OMAR KHALID HAMAD

    Published 2023
    “…The data labelling and annotation process involved a user-based evaluation of the tweets to label users as either depressed or not, based on the two target variables of depressed_binary and depressed_multi. …”
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  20. 120

    Prediction Of Boilers Emission Using Polynomial Networks by Elshafei, M.

    Published 2020
    “…The generated data is then used to train and test the developed neural network softsensors for emission prediction based on the conventional process variable measurements. …”
    Get full text
    article