يعرض 161 - 180 نتائج من 367 نتيجة بحث عن '(( elements network algorithm ) OR ((( data code algorithm ) OR ( data learning algorithms ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 161

    Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

    منشور في 2025
    "…Given the complexity of the LDTP solution for managing online requests, we propose a real-time, lightweight solution using multi-agent meta-reinforcement learning. Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. …"
  2. 162

    Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context حسب SALIM, MAHA JAWDAT

    منشور في 0024
    "…These platforms enhance academic performance by fostering collaborative learning environments and generating extensive data from every user interaction. …"
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  3. 163

    NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY حسب JINESH, PADIKKAPPARAMBIL

    منشور في 2022
    "…This study's dataset was sourced from the Kaggle machine learning repository, and it refers to data gathering from wearable IoT devices. …"
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  4. 164

    A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models حسب Osama Bassam J. Rabie (21323741)

    منشور في 2024
    "…The novelty of this work is, a recently developed DRF optimization methodology incorporated with the machine learning algorithm is utilized for maximizing the security level of IoT systems. …"
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  7. 167

    Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review حسب Zainab Jan (17306614)

    منشور في 2023
    "…Deep learning models were the most prominent branch of AI used for pancreatic cancer diagnosis in the studies, and the convolutional neural network was the most used algorithm (18/30, 60%). …"
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  11. 171

    Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization حسب Abrar, Shafayat

    منشور في 2002
    "…To overcome this problem, in this work, a fast converging recursive least squares (RLS)-based complex-valued backpropagation learning algorithm is derived for S&G-DD blind equalization. …"
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    article
  12. 172

    Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks حسب Yaacoub, Elias

    منشور في 2013
    "…Videos with single description coding (SDC), multiple description coding (MDC), and scalable video coding (SVC) are considered. …"
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    article
  13. 173

    Using machine learning for disease detection. (c2013) حسب Jreij, Georges Antoun

    منشور في 2016
    "…Classification consists of predicting group membership for new data instances by learning from pre-classified data instances. …"
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    masterThesis
  14. 174
  15. 175

    Benchmarking Concept Drift Detectors for Online Machine Learning حسب Mahgoub, Mahmoud

    منشور في 2022
    "…Concept drift detection is an essential step to maintain the accuracy of online machine learning. The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …"
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  16. 176
  17. 177

    LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

    منشور في 2022
    "…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"
  18. 178

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

    منشور في 2023
    "…If conducted automatically, rather than relying on human moderators, the process will be faster, enabling the early detection of cyberbullying before severe harm is caused. Data-driven approaches, such as machine learning (ML), particularly deep learning (DL), have shown promising results. …"
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  19. 179

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

    منشور في 2022
    "…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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    masterThesis
  20. 180