يعرض 161 - 180 نتائج من 545 نتيجة بحث عن '(( elements method algorithm ) OR ((( data mining algorithm ) OR ( based data algorithm ))))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 161

    Three-phase simulated annealing algorithms for exam scheduling حسب Mansour, Nashat

    منشور في 2003
    "…We empirically compare 3PSA with a 4-phase clustering-based heuristic algorithm using realistic data. Our experimental results show that 3PSA produces good exam schedules, which are better than those of the clustering heuristic procedure.…"
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    conferenceObject
  2. 162

    A hybrid graph representation for recursive backtracking algorithms حسب Abu-Khzam, Faisal N.

    منشور في 2017
    "…In this paper, we investigate practical implementation-based aspects of exact algorithms by providing a hybrid graph representation that addresses the take-back challenge and combines the advantage of O(1)O(1) adjacency-queries in adjacency-matrices with the advantage of efficient neighborhood traversal in adjacency-lists.…"
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  3. 163

    (k, l)-Clustering for Transactional Data Streams Anonymization حسب Tekli, Jimmy

    منشور في 2018
    "…In this paper, we address the correlation problem in the anonymization of transactional data streams. We propose a bucketization-based technique, entitled (k, l)-clustering to prevent such privacy breaches by ensuring that the same k individuals remain grouped together over the entire anonymized stream. …"
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    conferenceObject
  4. 164
  5. 165

    Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

    منشور في 2018
    "…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
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    masterThesis
  6. 166

    A method for data path synthesis using neural networks حسب Harmanani, H.

    منشور في 2017
    "…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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  7. 167

    Using genetic algorithms to optimize software quality estimation models حسب Azar, Danielle

    منشور في 2004
    "…Hence, the accuracy of the models often deteriorates significantly when they are used to classify new data. This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …"
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    masterThesis
  8. 168

    Blue collar laborers’ travel pattern recognition: Machine learning classifier approach حسب Aya Hasan Alkhereibi (17151070)

    منشور في 2021
    "…A pattern recognition model is applied to a revealed preference (RP) survey obtained from the Ministry of Transportation and Communication (MoTC) in Qatar for the travel diary for blue-collar workers. Raw data preprocessing and outliers detection and filtering algorithms were applied at the first stage of the analysis, and consequently, an activity-based travel matrix was developed for each household. …"
  9. 169
  10. 170

    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach حسب Sarif, Bambang

    منشور في 2006
    "…The search space is too large to be explored by deterministic algorithms. In this paper, a Genetic Algorithm based algorithm for synthesis of MVL functions is proposed. …"
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    article
  11. 171
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  13. 173

    A fast exact sequential algorithm for the partial digest problem حسب Mostafa M. Abbas (17058093)

    منشور في 2016
    "…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …"
  14. 174

    Big Data Energy Management, Analytics and Visualization for Residential Areas حسب Gupta, Ragini

    منشور في 2020
    "…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
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    article
  15. 175

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm حسب Nasser, Youssef

    منشور في 2024
    "…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …"
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  16. 176
  17. 177

    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects حسب Majdi Mansouri (16869885)

    منشور في 2021
    "…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …"
  18. 178

    Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles حسب Zainab Akhtar (15192184)

    منشور في 2024
    "…<p dir="ltr">The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, and parameter fluctuations. Neural network-based methods tackle these problems by accurately approximating unknown nonlinearities through training on input-output data. …"
  19. 179

    Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

    منشور في 2005
    "…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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    article
  20. 180

    Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring حسب Sakib Mahmud (15302404)

    منشور في 2024
    "…Current signal processing techniques, and even state-of-the-art machine learning algorithms, frequently struggle to effectively restore the inherent bodily signals amidst the array of randomly generated distortions. …"