يعرض 721 - 740 نتائج من 759 نتيجة بحث عن 'optimization ((optimization algorithms) OR (optimization algorithm))', وقت الاستعلام: 0.08s تنقيح النتائج
  1. 721

    Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks حسب Mohamed Amjath (17542512)

    منشور في 2022
    "…Within this context, the problem is modelled as a closed queueing network (CQN) combined with mixed-integer nonlinear programming (MINLP) to determine the optimal fleet size. This study proposes an analytical method based on sequential quadratic programming (SQP) methodology coupled with a mean value analysis (MVA) algorithm to solve this NP-Hard problem. …"
  2. 722

    Enhancement of blocking performance in all-optical WDM networks via wavelength reassignment and route deviation حسب Fawaz, Wissam F.

    منشور في 2012
    "…The reported results show that the proposed rerouting strategy can guarantee significant enhancement in terms of blocking probability while achieving near-optimal performance for networks utilizing a small number of wavelengths per fiber.…"
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    article
  3. 723

    C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments حسب Raun, Kristo

    منشور في 2023
    "…This paper introduces a novel approximate streaming conformance checking algorithm that enriches prefix-alignments with confidence and completeness measures. …"
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  4. 724

    MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection حسب Sui Paul Ang (18460605)

    منشور في 2023
    "…Hence, an optimized deep neural network (DNN) for pedestrian lane detection is required. …"
  5. 725

    Digital Image Watermarking Using Balanced Multiwavelets حسب Ghouti, L.

    منشور في 2006
    "…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …"
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    article
  6. 726

    Current trends and future orientation in diagnosing lung pathologies: A systematic survey حسب Noorizadeh, Mohammad

    منشور في 2025
    "…Additionally, it emphasized the necessity for further research to optimize their performance and clinical usefulness.…"
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    article
  7. 727

    A cluster-based model for QoS-OLSR protocol حسب Otrok, Hadi

    منشور في 2017
    "…The QOLSR is a multimedia protocol that was designed on top of the Optimized Link State Routing (OLSR) protocol. It considers the Quality of Service (QoS) of the nodes during the selection of the Multi-Point Relay (MPRs) nodes. …"
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    conferenceObject
  8. 728

    Leveraging UAVs for Coverage in Cell-Free Vehicular Networks حسب Samir, Moataz

    منشور في 2020
    "…Then, we leverage deep reinforcement learning to propose an approach for learning the optimal trajectories of the deployed UAVs to efficiently maximize the coverage, where we adopt Actor-Critic algorithm to learn the vehicular environment and its dynamics to handle the complex continuous action space. …"
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    article
  9. 729

    A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System حسب Kouatli, Issam

    منشور في 2016
    "…This paper describes a hybridized intelligent algorithm as a tuning mechanism for one type of Genetic Fuzzy system termed the Genetic Fuzzimetric Technique (GFT). …"
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    article
  10. 730
  11. 731
  12. 732

    3D deployment of UAVs in wireless networks for traffic offloading and edge computing. (c2019) حسب Islambouli, Rania

    منشور في 2019
    "…This being said, computation tasks generated by IoT devices can be pro- cessed in less latency and with much lower energy consumption at the devices. To optimally deploy UAVs as mounted cloudlets, we formulate our problem as mixed integer program and then use an e cient meta-heuristic algorithm to generate optimized results for large scale IoT networks. …"
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    masterThesis
  13. 733
  14. 734

    On-demand deployment of multiple aerial base stations for traffic offloading and network recovery حسب Sharafeddine, Sanaa

    منشور في 2019
    "…We present performance results for the proposed algorithm as a function of various system parameters and demonstrate its effectiveness compared to the close-to-optimal greedy approach and its superiority compared to recent related work from the literature.…"
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    article
  15. 735

    Development of a deep learning-based group contribution framework for targeted design of ionic liquids حسب Sadah Mohammed (18192859)

    منشور في 2024
    "…Our proposed framework consists of two essential steps: establishing a correlation between IL viscosity and CO<sub>2</sub> solubility by merging two deep learning models (DNN-GC and ANN-GC) and utilizing this correlation to identify the optimal IL structure with maximal CO<sub>2</sub> absorption capacity. …"
  16. 736

    Towards Resiliency Enhancement of Network of Grid-Forming and Grid-Following Inverters حسب Silvanus D'silva (19273852)

    منشور في 2023
    "…A supervisory controller comprising of a droop-Δ P estimator coupled with an optimal power allocator module dynamically adjusts the power injections from GFL inverters to maintain the power balance and restore frequency in response to disturbances. …"
  17. 737

    MoveSchedule حسب Zouein, Pierette

    منشور في 1995
    "…The layout construction algorithm that underlies MoveSchedule uses Constraint Satisfaction to find the set of all positions that meet the constraints on resources' positions and Linear Programming to find the optimal positions that minimize resource transportation and relocation costs. …"
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    masterThesis
  18. 738

    Framework for rapid design and optimisation of immersive battery cooling system حسب Ali Almshahy (23544823)

    منشور في 2025
    "…Two key parameters are optimised, namely: battery gap spacing (3–10 mm) and inlet/outlet width (5–15 mm), via Optimal Latin Hypercube Sampling, Support Vector Regression, and GDE3 algorithm. …"
  19. 739
  20. 740

    Hybrid deep learning based threat intelligence framework for Industrial IoT systems حسب Jahanzaib Malik (23718816)

    منشور في 2025
    "…To address this, the authors propose a hybrid threat intelligence framework that is not only highly scalable but also incorporates self-optimizing capabilities, enabling it to counteract a wide range of persistent cyber threats and attacks targeting IIoT systems. …"