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Showing 61 - 80 results of 1,633 for search '(( greater decrease ) OR ((( (free OR (need OR deep)) increase ) OR ( per decrease ))))*', query time: 0.14s Refine Results
  1. 61

    Deep aging clocks: AI-powered strategies for biological age estimation by Luma Srour (22254409)

    Published 2025
    “…<p>Several strategies have emerged lately in response to the rapid increase in the aging population to enhance health and life span and manage aging challenges. …”
  2. 62

    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches by Natasha Akram (20749538)

    Published 2024
    “…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …”
  3. 63

    Nonclassicality of open circuit QED systems in the deep-strong coupling regime by Tomohiro Shitara (18508206)

    Published 2021
    “…<p dir="ltr">We investigate theoretically how the ground state of a qubit–resonator (Q–R) system in the deep-strong coupling (DSC) regime is affected by the coupling to an environment. …”
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  6. 66

    Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes by Anas M. Tahir (16870077)

    Published 2023
    “…Recent advancements in the deep learning (DL) domain can offer a real-time surrogate that can render hemodynamic parameters in a few seconds, thus guiding clinicians to select the optimal treatment option. …”
  7. 67

    Dynamic Properties of Water Confined in Graphene-Based Membrane: A Classical Molecular Dynamics Simulation Study by One-Sun Lee (1291293)

    Published 2019
    “…The free energy profile of penetration revealed that the optimum interlayer distance for desalination is ~10 Å, where the minimum distance for water penetration is 7 Å. …”
  8. 68

    Computed tomography-detected hemothorax after blunt chest trauma: Does everyone need an intervention? A retrospective analysis by Ismail Mahmood (14150352)

    Published 2025
    “…They also had larger hemothorax volumes (<i>p</i> = 0.001), a greater need for mechanical ventilation (<i>p</i> = 0.001), and prolonged hospitalization (<i>p</i>= 0.001). …”
  9. 69

    How does an imaginary persona's attractiveness affect designers' perceptions and IT solutions? An experimental study on users' remote working needs by Joni Salminen (7434770)

    Published 2023
    “…Also, the findings point to the need to incorporate hedonic qualities into the persona creation process. …”
  10. 70

    Evaluation of highly active and stable SiO2 supported Fe-based catalysts for the catalytic methane decomposition into COx free hydrogen and CNTs by Ali, Sardar

    Published 2023
    “…Catalytic methane decomposition is believed to be an economic and environmental friendly route for the production of COx free hydrogen and high quality carbon nanotubes. …”
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    article
  11. 71

    Impact of inter-relay cooperation on the performance of FSO systems with any number of relays. (c2015) by Noun, Zeina K.

    Published 2016
    “…We must note that the IRC techniques are worth being explored due to the fact that they take advantage of the already existing communication interoperability link; hence no extra resources need to be deployed. We are only benefitting from already available resources at a cost of an increased system complexity. …”
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    masterThesis
  12. 72

    Performance analysis of FSO cooperative communications with rf inter-connected relays in the absence and presence of channel state information. (c2018) by Hamad, Mustapha Ismail

    Published 2018
    “…Compared to the widely used and traditional Radio Frequency (RF) communication systems, FSO systems are believed to achieve much higher data rates and better performance in terms of feasibility and practicality to compile with the worldwide increased speed need and uprising fast technologies. …”
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    masterThesis
  13. 73

    A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education by Abu Zitar, Raed

    Published 2022
    “…Transfer learning for a pre-trained deep neural network is used as well to increase the accuracy of the emotion classification stage. …”
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  14. 74
  15. 75

    Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning by MEZAHEM, FATEMA HAMAD

    Published 2022
    “…By utilizing the power of multiple word representations and deep learning approaches, this work seeks to enhance categorization performance. …”
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  16. 76

    Assessing additional fuel consumption from cabin thermal comfort and auxiliary needs on the worldwide harmonized light vehicles test cycle by Mansour, Charbel

    Published 2018
    “…Cabin heating and cooling can especially lead to considerable increase in vehicle energy consumption. This paper presents a simulation-based assessment framework to account for the additional fuel consumption related to the cabin thermal energy and auxiliary needs under the worldwide-harmonized light vehicles test procedure (WLTP). …”
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  17. 77

    Investigations on Entrepreneurship Needs, Challenges, and Models for Countries in Transition to Sustainable Development from Resource-Based Economy—Qatar as a Case by Mohammad I. Al-Housani (19170967)

    Published 2023
    “…<p dir="ltr">This paper presents a comprehensive and comparative investigation into the needs, challenges, and potential roles for entrepreneurship in transforming resource-rich countries into sustainable economies. …”
  18. 78

    Deep Learning for Aspect-Based Sentiment Analysis of Government Mobile Apps Reviews by SIYAM, BILAL YACOUB

    Published 2018
    “…The number of smartphone users in the United Arab Emirates (UAE) has increased by 25% in the last four years (Statista.Com 2018c). …”
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  19. 79

    Hybrid deep learning based threat intelligence framework for Industrial IoT systems by Jahanzaib Malik (23718816)

    Published 2025
    “…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. …”
  20. 80

    Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

    Published 2023
    “…Traditional machine learning-based defect prediction models have been built since the early 2000s, and recently, deep learning-based models have been designed and implemented. …”