Search alternatives:
using algorithm » cosine algorithm (Expand Search)
cc3d algorithm » rd algorithm (Expand Search)
level using » level fusion (Expand Search)
Showing 21 - 40 results of 382 for search '(((( complex based algorithm ) OR ( elements cc3d algorithm ))) OR ( level using algorithm ))', query time: 0.12s Refine Results
  1. 21

    The buffered work-pool approach for search-tree based optimization algorithms by Abu-Khzam, Faisal N.

    Published 2017
    “…This new trend has been motivated by hardness of approximation results that appeared in the last decade, and has taken a great boost by the emergence of parameterized complexity theory. Exact algorithms often follow the classical search-tree based recursive backtracking strategy. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  2. 22

    Multi-marker-LD based genetic algorithm for tag SNP selection by Mansour, Nashat

    Published 2014
    “…The results indicate that the multi-marker linkage disequilibrium based genetic algorithm yields better prediction accuracy.…”
    Get full text
    Get full text
    Get full text
    article
  3. 23

    Land Use/Land Cover Changes Impact on Groundwater Level and Quality in the Northern Part of the United Arab Emirates by Elmahdy, Samy

    Published 2020
    “…This study aims to develop an integrated approach for mapping and monitoring land use/land cover (LULC) changes and to investigate the impacts of LULC changes and population growth on groundwater level and quality using Landsat images and hydrological information in a Geographic information system (GIS) environment. …”
    Get full text
    article
  4. 24
  5. 25
  6. 26

    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

    Published 2022
    “…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. A novel MH optimization algorithm, called arithmetic optimization algorithm (AOA), was proposed to address complex optimization tasks. …”
  7. 27

    Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic by AL MANSOORI, MOUZA

    Published 2021
    “…The study explores sentiment analysis using different machine learning algorithms on dialectal Arabic text dataset. …”
    Get full text
  8. 28

    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

    Published 2022
    “…According to the findings of several studies, the framework is significantly more effective than conventional methods in maintaining high levels of privacy. In addition, the framework outperforms conventional detection algorithms in words of detection rate, the rate of the false positive, and calculation time, respectively.…”
    Get full text
    Get full text
  9. 29

    A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks by Saad, Walid

    Published 2012
    “…In this work, we propose a utility-based joint uplink/downlink scheduling algorithm suitable for wireless services involving pairwise communication among mobile users. …”
    Get full text
    Get full text
    Get full text
    article
  10. 30

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

    Published 2019
    “…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …”
  11. 31

    Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem by Nezir Aydin (8355378)

    Published 2024
    “…We present the effectiveness of the developed integrated approaches, Sampling Based Progressive Hedging Algorithm (SBPHA) and Discarding SBPHA (d-SBPHA), over the pure strategies (i.e. …”
  12. 32

    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

    Published 2021
    “…A machine learning classification pipeline is developed using multi-domain feature extraction (time, frequency, time-frequency), feature selection (Gini impurity), classifier design, and score level fusion. …”
  13. 33

    An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm by Ghulam Jillani Ansari (16896342)

    Published 2021
    “…Second, a feature level fusion approach is used to combine the features. …”
  14. 34

    Activity-level space scheduling by Zouein, Pierrette P.

    Published 1992
    “…Its output layouts can be used to refine individual robot's trajectories using traditional path-planning algorithms.…”
    Get full text
    Get full text
    Get full text
    conferenceObject
  15. 35
  16. 36
  17. 37
  18. 38

    Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms by Abdelouahed Hamdi (14158899)

    Published 2022
    “…This was displayed the return of the portfolio produced using the DEA-Mean-CVaR model increased because the investment proposal was basedon the stock with the highest expected return and was effective at three risk levels. …”
  19. 39

    Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study by Mutasim Baba, Fuad

    Published 2022
    “…Maximum Absolute Difference (MAD), a new metric, that calculates the maximum absolute difference between simulated and measured hourly indoor temperatures, Root Mean Square Error (RMSE), Normalized Mean Bias Error (NMBE) were used as the evaluation criteria. Another new metric is introduced, 1 ◦C Percentage Error criterion that calculates the percentage of the number of hours with an error over 1 ◦C during the cali bration period, to select the best solutions from the Pareto Front solutions. 0.5 ◦C Percentage Error criterion is also used for the level of accuracy the model can achieve. …”
    Get full text
    Get full text
    Get full text
  20. 40