يعرض 101 - 120 نتائج من 172 نتيجة بحث عن '(((( implement scheduling algorithm ) OR ( elements data algorithm ))) OR ( data means algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 101
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  3. 103

    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. …"
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  4. 104

    Structural similarity evaluation between XML documents and DTDs حسب Tekli, J.

    منشور في 2007
    "…We consider the various DTD operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes. Our approach is based on the concept of tree edit distance, as an effective and efficient means for comparing tree structures, XML documents and DTDs being modeled as ordered labeled trees. …"
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    conferenceObject
  5. 105

    A hybrid approach for XML similarity حسب Tekli, Joe

    منشور في 2007
    "…In the past few years, XML has been established as an effective means for information management, and has been widely exploited for complex data representation. …"
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    conferenceObject
  6. 106
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  8. 108

    An innovative simulated annealing approach to the long-term hydroscheduling problem حسب Mantawy, A.H.

    منشور في 2001
    "…This paper presents a new simulated annealing algorithm (SAA) to solve the long-term hydro scheduling problem (LTHSP). …"
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    article
  9. 109

    Graph contraction for physical optimization methods حسب Mansour, Nashat

    منشور في 1993
    "…Mapping data to parallel computers aims at minimizing the execution time of the associated application. …"
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    conferenceObject
  10. 110
  11. 111

    Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements حسب Emara-Shabaik, Husam

    منشور في 2020
    "…The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. …"
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    article
  12. 112

    A hybrid EDF/FIFO queue for efficient real time flow handling حسب Fawaz, W.

    منشور في 2006
    "…In an attempt to meet the stringent time constraints of real time flows, several scheduling algorithms have been proposed in the literature. …"
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    conferenceObject
  13. 113

    A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer حسب M. Z. Yildiz (16855476)

    منشور في 2019
    "…In addition, the images were analyzed after noise attacks by means of peak signal-to-noise ratio (PSNR), mean square error (MSE), and the structural similarity index (SSIM) tests. …"
  14. 114

    Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE حسب ULLAH, SAAD

    منشور في 2022
    "…This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …"
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  15. 115

    Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids حسب Ahmed Ouammi (14151039)

    منشور في 2021
    "…<p>This paper presents a scheduling framework based algorithm for reducing/shaving the peak loads in a team of cooperating microgrids (TCM) powered smart buildings taking advantages of vehicle-to-building (V2B) concept and operational flexibilities of electric vehicles (EVs). …"
  16. 116

    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials حسب Ghouti, Lahouari

    منشور في 1997
    "…Performance evaluation of the proposed methods and comparisons with existing methods are made by means of Monte-Carlo simulations, experimental data and analysis. …"
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    masterThesis
  17. 117

    Predicting COVID-19 cases using bidirectional LSTM on multivariate time series حسب Ahmed Ben Said (14158926)

    منشور في 2022
    "…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …"
  18. 118

    A survey and comparison of wormhole routing techniques in a meshnetworks حسب Al-Tawil, K.M.

    منشور في 1997
    "…Although an extremely wide number of routing algorithms have been proposed and implemented in hardware and software, it is difficult for the designer of a multicomputer to choose the best routing algorithm given a particular architectural configuration. …"
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    article
  19. 119

    EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach حسب Muhammad Adeel Asghar (6724982)

    منشور في 2019
    "…A series of vocabularies consisting of 10 cluster centers of each class is calculated using the k-means cluster algorithm. Lastly, the emotion of each subject is represented using the histogram of the vocabulary set collected from the raw-feature of a single channel. …"
  20. 120

    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

    منشور في 2019
    "…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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