يعرض 81 - 100 نتائج من 771 نتيجة بحث عن '(( greater decrease ) OR ((( ((timer OR deep) OR less) increase ) OR ( per decrease ))))*', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 81

    Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners حسب Mehdi Mohammadi (5024105)

    منشور في 2018
    "…This increase is 82% less than the 11.3 increase seen in the baseline model. …"
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    Ensemble Stacking Model for Sentiment Analysis of Emirati and Arabic Dialects حسب A. Al Shamsi, Arwa

    منشور في 2023
    "…Then, an ensemble stacking model was introduced to combine the best-performing deep learning models used in this study. The ensemble stacking deep learning model consisted of deep learning models with a meta learner layer of classifiers. …"
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  5. 85

    Visual Sentiment Analysis from Disaster Images in Social Media حسب Syed Zohaib Hassan (18387129)

    منشور في 2022
    "…<div><p>The increasing popularity of social networks and users’ tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content have opened new opportunities and challenges in sentiment analysis. …"
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    Robust Prediction of Wildfire Spread in Australia حسب Michael Palk (17947841)

    منشور في 2025
    "…We find that robust models, which are less sensitive to outliers, capture the dynamics of wildfire spread most accurately.…"
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  16. 96

    Decoding silent speech: a machine learning perspective on data, methods, and frameworks حسب Adiba Tabassum Chowdhury (19444792)

    منشور في 2025
    "…Examining state-of-the-art SSR frameworks, the paper covers important topics such signal processing, feature extraction, ML techniques for decoding and optimizing and assessing the performance of SSR models. We emphasize how deep learning (DL) and ML models have evolved to increase SSR resilience and accuracy. …"
  17. 97

    Intelligent scaling for 6G IoE services for resource provisioning حسب Abdullah Alharbi (4173502)

    منشور في 2021
    "…IScaler is considered to be made for MEC in Deep Reinforcement Learning (DRL). The paper has considered several requirements for making service placement decisions. …"
  18. 98

    Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data حسب Alaa Awad Abdellatif (17151163)

    منشور في 2022
    "…<p dir="ltr">Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. …"
  19. 99

    Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities حسب Md Golam Morshed (19420537)

    منشور في 2023
    "…One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-based representations for action recognition has emerged in recent years, due to the widespread use of deep learning-based features. …"
  20. 100

    Evaluating machine learning technologies for food computing from a data set perspective حسب Nauman Ullah Gilal (17302714)

    منشور في 2023
    "…Food computing benefits from technologies based on modern machine learning techniques, including deep learning, deep convolutional neural networks, and transfer learning. …"