يعرض 161 - 180 نتائج من 184 نتيجة بحث عن '(( element method algorithm ) OR ((( tool using algorithm ) OR ( element data algorithm ))))*', وقت الاستعلام: 0.19s تنقيح النتائج
  1. 161
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    Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression حسب Alaa Abd-Alrazaq (17430900)

    منشور في 2023
    "…Wearable AI is a promising tool for depression detection and prediction although it is in its infancy and not ready for use in clinical practice. …"
  3. 163

    The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions حسب Abdulmalik Alwarafy (17984104)

    منشور في 2022
    "…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …"
  4. 164

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying حسب Tekli, Joe

    منشور في 2023
    "…Many efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …"
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  5. 165

    Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort حسب Sergio Márquez-Sánchez (19437985)

    منشور في 2023
    "…However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …"
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    The Effects of Data Mining on Small Businesses in Dubai حسب AlMutawa, Rasha

    منشور في 2011
    "…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …"
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  8. 168

    Condenser capacity and hyperbolic perimeterImage 1 حسب Mohamed M.S., Nasser

    منشور في 2021
    "…We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …"
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  9. 169

    Artificial Intelligence for Skin Cancer Detection: Scoping Review حسب Abdulrahman Takiddin (14153181)

    منشور في 2021
    "…Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning–based methodologies that are trained to detect and classify skin cancer using computer algorithms and deep neural networks.…"
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    Condenser capacity and hyperbolic perimeter حسب Mohamed M.S. Nasser (16931772)

    منشور في 2022
    "…<p dir="ltr">We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …"
  12. 172

    Assessment of network module identification across complex diseases حسب Sarvenaz Choobdar (18602821)

    منشور في 2019
    "…Our robust assessment of 75 module identification methods reveals top-performing algorithms, which recover complementary trait-associated modules. …"
  13. 173

    A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass حسب Uzma Nawaz (21980708)

    منشور في 2025
    "…The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. This study reviews the current deep-learning techniques used for monitoring and classification of the seagrass. …"
  14. 174

    Building power consumption datasets: Survey, taxonomy and future directions حسب Yassine Himeur (14158821)

    منشور في 2020
    "…The latter will be very useful for testing and training anomaly detection algorithms, and hence reducing wasted energy. …"
  15. 175

    Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review حسب Sarah Aqel (17787809)

    منشور في 2023
    "…There’s a significant focus on the integration of AI and ML in prehospital emergency care, particularly in using ML algorithms for predicting outcomes in COVID-19 patients and enhancing the recognition of out-of-hospital cardiac arrest (OHCA). …"
  16. 176

    Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

    منشور في 2024
    "…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. While several research papers have focused on the use of LLMs for code completion, these studies are fragmented, and there is no systematic overview of the use of LLMs for code completion. …"
  17. 177

    Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments حسب Billel Essaid (22047578)

    منشور في 2025
    "…<p dir="ltr">Automatic speech recognition (ASR) and speech enhancement are essential tools in modern life, aiding not only in machine interaction but also in supporting individuals with hearing impairments. …"
  18. 178

    Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review حسب Avneet Kaur (712349)

    منشور في 2024
    "…It has been learned that image-processing techniques overwhelm the existing research and have the potential to integrate meteorological data. The most widely used algorithms incorporate Support Vector Machine (SVM), Random Forest (RF), Convolutional Neural Network (CNN), and MobileNet with accuracy rates between 64.3 and 100%. …"
  19. 179

    DASSI: differential architecture search for splice identification from DNA sequences حسب Shabir Moosa (14153316)

    منشور في 2022
    "…<h2>Background</h2> <p>The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. …"
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