يعرض 181 - 200 نتائج من 799 نتيجة بحث عن '(( element data algorithm ) OR ((( data using algorithm ) OR ( time processing algorithm ))))*', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 181

    Unsupervised outlier detection in multidimensional data حسب Atiq ur Rehman (14153391)

    منشور في 2022
    "…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …"
  2. 182

    Robustness testing of composed real-time systems حسب Fouchal, Hacène

    منشور في 2010
    "…In this paper, we suggest a methodology for testing robustness of Real-Time Component-Based Systems (RTCBS). A RTCBS system is described as a collection of components where each component is modeled as a Timed Input-Output Automaton (TIOA). …"
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    article
  3. 183

    Mapping realistic data sets on parallel computers حسب Mansour, N.

    منشور في 1993
    "…The GC algorithm allows large-scale mapping to become efficient, especially when slow but high-quality mappers are used.…"
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    conferenceObject
  4. 184

    Android Malware Detection Using Machine Learning حسب Al Ali, Shaikha

    منشور في 2024
    "…Detecting and preventing malware is crucial for several reasons, including the security of personal information, data loss and tampering, system disruptions, financial losses, and reputation damage. …"
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    article
  5. 185

    Process Mining over Unordered Event Streams حسب Awad, Ahmed

    منشور في 2020
    "…While such online algorithms have been proposed for several process mining tasks, from discovery through confor mance checking to time prediction, they all assume that an event stream is ordered, meaning that the order of event generation coincides with their arrival at the analysis engine. …"
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  6. 186

    Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data حسب Arfan Ahmed (17541309)

    منشور في 2023
    "…One of the key aspects of WDs with machine learning (ML) algorithms is to find specific data signatures, called Digital biomarkers, that can be used in classification or gaging the extent of the underlying condition. …"
  7. 187

    Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment حسب Zakaria Tolba (16904718)

    منشور في 2022
    "…This paper provides a deep learning-based decryptor for investigating the permutation primitives used in multimedia block cipher encryption algorithms.We aim to investigate how deep learning can be used to improve on previous classical works by employing ciphertext pair aspects to maximize information extraction with low-data constraints by using convolution neural network features to discover the correlation among permutable atoms to extract the plaintext from the ciphered text without any P-box expertise. …"
  8. 188

    Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning حسب Zulfiqar Ali (117651)

    منشور في 2023
    "…This paper aims to optimize the delay in LoRaWAN by using an Adaptive Scheduling Algorithm (ASA) with an unsupervised probabilistic approach called Gaussian Mixture Model (GMM). …"
  9. 189

    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling حسب ALKETBI, SAIF

    منشور في 2016
    "…Genetic algorithm was chosen as the main methodology to build resource scheduler. …"
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  10. 190

    A New Parallel Genetic Algorithm Model حسب Al-Somani, Turki F.

    منشور في 2020
    "…The reduction of the implementation processing time is the basic motivation of genetic algorithms parallelization. …"
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    article
  11. 191
  12. 192

    A kernelization algorithm for d-Hitting Set حسب Abu-Khzam, Faisal N.

    منشور في 2010
    "…For a given parameterized problem, π, a kernelization algorithm is a polynomial-time pre-processing procedure that transforms an arbitrary instance of π into an equivalent one whose size depends only on the input parameter(s). …"
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  13. 193

    Graph Contraction for Mapping Data on Parallel Computers حسب Mansour, N.

    منشور في 1994
    "…We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, genetic algorithm and simulated annealing. …"
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  14. 194

    Parallel genetic algorithm for disease-gene association حسب Mansour, Nashat

    منشور في 2011
    "…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…"
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  15. 195

    Genetic algorithms applications in load frequency control حسب Abdel-Magid, Y.L.

    منشور في 1995
    "…A digital simulation is used in conjunction with the genetic algorithm optimization process. The integral of the square of the error and the integral of time-multiplied absolute value of the error performance indices are considered in the search for the optimal AGC parameters. …"
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    article
  16. 196
  17. 197

    Particle swarm optimization algorithm: review and applications حسب Abualigah, Laith

    منشور في 2024
    "…The main procedure of the PSO algorithm is presented. Future researchers can use the collected data in this survey as baseline information on the PSO and PSO's applications.…"
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  18. 198

    New enumeration algorithm for regular boolean functions حسب Nasrallah, Walid F.

    منشور في 2018
    "…This algorithm exploits the equivalence between regular Boolean functions and positive threshold functions that can be used to represent instances of the knapsack problem. …"
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  19. 199
  20. 200

    The Effects of Data Mining on Small Businesses in Dubai حسب AlMutawa, Rasha

    منشور في 2011
    "…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …"
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