يعرض 41 - 60 نتائج من 67 نتيجة بحث عن '(( local optimization algorithm ) OR ( codon optimization algorithm ))', وقت الاستعلام: 0.09s تنقيح النتائج
  1. 41

    StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features حسب Muhammad Arif (769250)

    منشور في 2024
    "…Additionally, we applied the local interpretable model-agnostic explanations (LIME) algorithm to understand the contribution of selected features to the overall prediction. …"
  2. 42

    High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm حسب Badreddine Kanouni (23073244)

    منشور في 2025
    "…The trigonometric function-based sine cosine algorithm (SCA) may solve such problems, but it traps in local optima, making it inappropriate for larger optimization tasks. …"
  3. 43

    An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization حسب Majdi Mansouri (16869885)

    منشور في 2022
    "…Then, to overcome the problem of premature convergence and local sub-optimal areas when using the classical PSO optimization algorithm, an improved extension of the PSO algorithm is proposed. …"
  4. 44

    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter حسب Syed Rahman (569240)

    منشور في 2019
    "…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …"
  5. 45

    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering حسب Saadia Jamil (22045946)

    منشور في 2024
    "…A self-organizing map is one of the well-known unsupervised neural network algorithms used for preserving typologies during mapping from the input space (high-dimensional) to the display (low-dimensional).An algorithm called Local Adaptive Receptive Field Dimension Selective Self-Organizing Map 2 is a modified form of a self-organizing Map to cater different data types in the dataset. …"
  6. 46
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    On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)

    منشور في 2023
    "…Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …"
  8. 48

    Fixed set search applied to the multi-objective minimum weighted vertex cover problem حسب Raka Jovanovic (17947838)

    منشور في 2022
    "…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. In the second stage, the bi-objective GRASP is extended to the FSS by adding a learning mechanism adapted to multi-objective problems. …"
  9. 49

    Determining Dominant Wind Directions حسب Selim, S.Z.

    منشور في 2020
    "…Important properties of the problem are discussed and a convergent solution algorithm is designed. The algorithm could yield local optimal solutions. …"
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    article
  10. 50
  11. 51

    Random vector functional link network: Recent developments, applications, and future directions حسب A.K. Malik (16003193)

    منشور في 2023
    "…Generally, the back propagation (BP) based iterative approaches are used to train the neural networks, however, it results in the issues of local minima, sensitivity to learning rate and slow convergence. …"
  12. 52

    Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management حسب Islam, Eljilany

    منشور في 2022
    "…The cost of the algorithm was the cost of the genotyping assay. The model event probability inputs were extracted from major literature clinical trials, and the setting-specifc and cost inputs were locally obtained. …"
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    article
  13. 53

    Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management حسب Islam Eljilany (14151588)

    منشور في 2023
    "…The cost of the algorithm was the cost of the genotyping assay. The model event probability inputs were extracted from major literature clinical trials, and the setting-specifc and cost inputs were locally obtained. …"
  14. 54

    The bus sightseeing problem حسب Qian Hu (205735)

    منشور في 2023
    "…A mixed-integer programming formulation for the BSP is provided and solved by a Benders decomposition algorithm. For large-scale instances, an iterated local search based metaheuristic algorithm is developed with some tailored neighborhood operators. …"
  15. 55

    Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates حسب Ratiba F. Ghachi (14152455)

    منشور في 2022
    "…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …"
  16. 56

    A matheuristic approach for solving the 2-connected dominating set problem حسب Raka Jovanovic (17947838)

    منشور في 2019
    "…The goal of the proposed method is to find near optimal solutions for large graphs. The algorithm is based on a Greedy Randomized Adaptive Search Procedure (GRASP). …"
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  18. 58

    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
  19. 59

    User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations حسب Abbas, Nadine Fawaz

    منشور في 2017
    "…Due to the complexity of the problem, we design sub-optimal hierarchical tree-based algorithms for real-time operation taking into account realistic constraints. …"
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    masterThesis
  20. 60

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

    منشور في 2023
    "…The proposed method designs an optimized deep network with multi-scale input branches, allowing the derived network to utilize local and global contexts for predictions. …"