يعرض 541 - 560 نتائج من 741 نتيجة بحث عن '(((( based modeling algorithm ) OR ( data processing algorithm ))) OR ( element cc3d algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 541

    Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura, Habiba

    منشور في 2023
    "…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. …"
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    article
  2. 542

    Optimization metaheuristic for software testing حسب Mansour, Nashat

    منشور في 2013
    "…In our work, we model web applications by associating features or web pages with states; state transition diagrams are based on events representing state transitions. …"
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    conferenceObject
  3. 543
  4. 544

    Indexing Arabic texts using association rule data mining حسب Haraty, Ramzi A.

    منشور في 2019
    "…Design/methodology/approach The proposed model uses an association rule algorithm for extracting frequent sets containing related items – to extract relationships between words in the texts to be indexed with words from texts that belong to the same category. …"
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    article
  5. 545

    Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura Habiba (17808302)

    منشور في 2023
    "…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. …"
  6. 546

    Computation of conformal invariants حسب Mohamed M.S., Nasser

    منشور في 2020
    "…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …"
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    article
  7. 547
  8. 548

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

    منشور في 2022
    "…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. …"
  9. 549

    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
  10. 550

    A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer حسب M. Z. Yildiz (16855476)

    منشور في 2019
    "…Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. …"
  11. 551

    The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review حسب Uzair Shah (15740699)

    منشور في 2022
    "…The study selection process was carried out in three phases: study identification, study selection, and data extraction. …"
  12. 552

    Supervised term-category feature weighting for improved text classification حسب Attieh, Joseph

    منشور في 2022
    "…GradientDescentANN replaces the iterative additive process mentioned previously by computing the term-category matrix using a gradient descent ANN model. Training the ANN using the gradient descent algorithm allows updating the term-category matrix until reaching convergence. …"
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    article
  13. 553

    Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle حسب Korkmaz, Jessica

    منشور في 2025
    "…The siting and sizing methodology is conducted by considering five different optimization algorithms, namely the single-objective genetic algorithm (SOGA), the combined SOGA and loss sensitivity factor algorithm (SOGA-LSF), the multi-objective genetic algorithm (MOGA), the combined MOGA-LSF and the CAPADD algorithm of OpenDSS. …"
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    masterThesis
  14. 554

    Computation of conformal invariants حسب Mohamed M.S. Nasser (16931772)

    منشور في 2021
    "…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …"
  15. 555

    A fuzzy basis function network for generator excitation control حسب Abido, M.A.

    منشور في 1997
    "…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on generator loading conditions. The orthogonal least squares learning algorithm is developed for designing an adequate and parsimonious FBFN model. …"
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    article
  16. 556

    Benchmark on a large cohort for sleep-wake classification with machine learning techniques حسب Joao Palotti (8479842)

    منشور في 2019
    "…However, the largest experiments conducted to date, have had only hundreds of participants. In this work, we processed the data of the recently published Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study to have both PSG and actigraphy data synchronized. …"
  17. 557

    A fine-grained XML structural comparison approach حسب Tekli, Joe

    منشور في 2007
    "…Our approach consists of two main algorithms for discovering the structural commonality between sub-trees and computing tree-based edit operations costs. …"
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    conferenceObject
  18. 558

    Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas حسب Marwan Dhuheir (19170898)

    منشور في 2024
    "…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …"
  19. 559

    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems حسب Abdel-Salam, Mahmoud

    منشور في 2024
    "…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …"
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  20. 560

    Toward automatic motivator selection for autism behavior intervention therapy حسب Siyam, Nur

    منشور في 2022
    "…We use a Q-learning algorithm to solve the modeled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. …"
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