Showing 41 - 60 results of 727 for search '(((((( time decrease ) OR ( deep increase ))) OR ( peer decrease ))) OR ( mean decrease ))*', query time: 0.23s Refine Results
  1. 41

    Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection by Alok Singh Chauhan (8264985)

    Published 2023
    “…While the calculations were being performed, certain variables were modified. The accuracy was increased by optimizing the fit parameters based on Hyperparameter tuning. …”
  2. 42

    Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

    Published 2021
    “…Purpose Establishing the reliability of a new method to check the mean retinal and choroidal reflectivity and using it to find retinal and choroid changes in amblyopia. …”
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  3. 43

    Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

    Published 2020
    “…We also demonstrate the ability of our model to improve over time by adapting the new demand of users. Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …”
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  4. 44

    Ambulatory general urgent clinic: an initiative at the time of COVID-19 pandemic by Abdullah Al-Hothi (18505290)

    Published 2024
    “…Our quality improvement study aimed to decrease the waiting time by 20%, from 21 days in January 2021 to 14 days in April 2021, to evaluate the newly established clinics for urgent referrals during the COVID-19 pandemic, and to assess the physicians’ satisfaction regarding these clinics.…”
  5. 45

    Review on COVID-19 diagnosis models based on machine learning and deep learning approaches by Abu Zitar, Raed

    Published 2021
    “…Therefore, many researchers have developed several intelligent techniques, such as deep learning (DL) and machine learning (ML), which can assist the healthcare sector in providing quick and precise COVID-19 diagnosis. …”
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  7. 47

    Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning by Mohamed Massaoudi (16888710)

    Published 2025
    “…Subsequently, state-of-the-art research that envisions the use of clustering-based machine learning and deep learning-based solutions for PGP is presented. …”
  8. 48

    Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques by A. Alazzam, Bayan

    Published 2023
    “…In addition to classical ML techniques, Deep Learning (DL) has attracted many researchers to develop chatbots using more sophisticated and accurate techniques. …”
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  9. 49

    Deep Gabor Neural Network for Automatic Detection of Mine-Like Objects in Sonar Imagery by Hoang Thanh Le (18940666)

    Published 2020
    “…<p dir="ltr">With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. …”
  10. 50

    Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology by Muhammad Shehab (16904880)

    Published 2024
    “…For the second aim, we establish a loose upper bound and employ an exhaustive search <i>(</i><i>E</i><i>S</i><i>)</i> . We employ deep reinforcement learning (DRL) to address both aims, demonstrating its effectiveness in complex scenarios. …”
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    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

    Published 2021
    “…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”
  13. 53

    The Impact of COVID-19 on the HIV Cascade of Care in Botswana – An Interrupted Time Series by Alice Sehurutshi (21842696)

    Published 2024
    “…In multivariable Poisson interrupted time series regression, the COVID-19 lockdown was associated with a 27% decrease in the monthly numbers of HIV tests (IRR 0.73, 95%CI 0.72–0.73), a 25% decrease in HIV positive tests (IRR 0.75, 95%CI 0.71–0.79), and a 43% reduction in ART initiations (IRR 0.57, 95%CI 0.55–0.60). …”
  14. 54

    Influence of temperature on tire-pavement noise in hot climates: Qatar case by Okan Sirin (14603304)

    Published 2021
    “…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”
  15. 55

    Swimming exercise improves short‐ and long‐term memories: Time‐course changes by Mahmoud A. Alomari (14780446)

    Published 2021
    “…However, the memory enhancement profile following the time-course of exercise training remains unknown. …”
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    Quantum Chemistry Insight into the Interactions Between Deep Eutectic Solvents and SO<sub>2</sub> by Mert Atilhan (1272906)

    Published 2019
    “…<p dir="ltr">A systematic research work on the rational design of task specific Deep Eutectic Solvents (DES) has been carried out via density functional theory (DFT) in order to increase knowledge on the key interaction parameters related to efficient SO<sub>2</sub> capture by DES at a molecular level. …”
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    Face Segmentation: A Journey From Classical to Deep Learning Paradigm, Approaches, Trends, and Directions by Khalil Khan (9333883)

    Published 2020
    “…Over the last two decades, methods for face segmentation have received increasing attention due to their diverse applications in several human-face image analysis tasks. …”
  20. 60

    Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

    Published 2024
    “…<p dir="ltr">Given the severity of waste pollution as a major environmental concern, intelligent and sustainable waste management is becoming increasingly crucial in both developed and developing countries. …”