يعرض 61 - 80 نتائج من 90 نتيجة بحث عن '(((( element method algorithm ) OR ( scale testing algorithm ))) OR ( neural coding algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 61

    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. …"
  2. 62

    On scalable parallel recursive backtracking حسب Abu-Khzam, Faisal N.

    منشور في 2015
    "…Many parallel algorithms can scale to only hundreds of cores. The limiting factors of such algorithms are usually communication overhead and poor load balancing. …"
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    article
  3. 63

    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
    "…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. Several metaheuristics, such as the Genghis Khan Shark Optimizer Algorithm (GKSO), can assist in optimizing the FS issue. …"
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  4. 64

    Communications in electronic textile systems حسب Nakad, Z.

    منشور في 2017
    "…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …"
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  5. 65

    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …"
  6. 66

    Failure recovery in wireless content distribution networks with device-to-device cooperation حسب Sharafeddine, Sanaa

    منشور في 2017
    "…We present results for various network scenarios using simulations and experimental test bed to demonstrate the effectiveness of the proposed algorithms in terms of performance efficiency, computational complexity, and practical implementation feasibility.…"
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    article
  7. 67
  8. 68

    Evacuation of a highly congested urban city حسب El Khoury, John

    منشور في 2017
    "…The algorithm uses Dijkstras algorithm to find the shortest path(s) and a modified greedy algorithm to assign maximum flows to selected paths given a specific schedule per time interval. …"
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  9. 69

    Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب Minghui Hu (2457952)

    منشور في 2022
    "…The esc-edRVFL is identified as the best-performing algorithm through a comprehensive evaluation of 31 UCI datasets.…"
  10. 70

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

    منشور في 2024
    "…The proposed StackDPPred method improves the overall accuracy by 13.41% and 7.62% compared to existing DPs predictors iDPF-PseRAAC and iDEF-PseRAAC, respectively on validation test. Additionally, we applied the local interpretable model-agnostic explanations (LIME) algorithm to understand the contribution of selected features to the overall prediction. …"
  11. 71
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    Wide area monitoring system operations in modern power grids: A median regression function-based state estimation approach towards cyber attacks حسب Haris M. Khalid (17017743)

    منشور في 2023
    "…A median regression function is built on top of it while generating and evaluating the residuals. The tests were conducted on a revisited New England 39-Bus system with large scale photovoltaic (PV) power plant. …"
  13. 73

    A Multistage Passive Islanding Detection Method for Synchronous-Based Distributed Generation حسب Sawas, Abdullah M.

    منشور في 2021
    "…This provides two important advantages: 1) cases that can be easily determined as either islanding or nonislanding events are flagged as soon as possible without waiting for the full feature set to become available; 2) because the algorithm allows for the use of different sized time windows, features are analyzed in time-scales that fit their natural patterns of temporal evolution. …"
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  14. 74

    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

    منشور في 2019
    "…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
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  15. 75

    Parametric Design Optimization in Sustainable Urban Design: In Hot Climate حسب Musleh, Mousa A. M.

    منشور في 2012
    "…The suggested methodology is applied to real life urban scale to investigate the applicability of parametric design optimization tools on urban scale and their potentials. …"
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  16. 76
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  18. 78

    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation حسب El-Maleh, Aiman H.

    منشور في 2001
    "…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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  19. 79

    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation حسب El-Maleh, A.H.

    منشور في 2001
    "…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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  20. 80

    Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

    منشور في 2020
    "…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …"