Showing 181 - 200 results of 279 for search '(((( element data algorithm ) OR ( present data algorithm ))) OR ( element sampling algorithm ))', query time: 0.11s Refine Results
  1. 181

    An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services by ALBARGHOTHI, ALI BAHA’EDDIN

    Published 2018
    “…Further, 414 automatic questions are tested on the QA algorithm using two methods, semantics-based and keyword-based. …”
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  2. 182

    Scan Test Cost and Power Reduction Through Systematic Scan Reconfiguration by Al-Yamani, A.

    Published 0000
    “…Using SAS, this paper also presents systematic scan reconfiguration, a test data compression algorithm that is applied to achieve 10times to 40 times compression ratios without requiring any information from the automatic-test-pattern-generation tool about the unspecified bits. …”
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    article
  3. 183

    Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test by Hasan T. Abbas (8115014)

    Published 2019
    “…Furthermore, personal information such as age, ethnicity and body-mass index was also a part of the data-set. Using 11 OGTT measurements, we have deduced 61 features, which are then assigned a rank and the top ten features are shortlisted using minimum redundancy maximum relevance feature selection algorithm. …”
  4. 184

    Transaction Dependency Based Approach for Database Damage Assessment Using a Matrix by Haraty, Ramzi Ahmed

    Published 2017
    “…Hence, both affected and benign transactions will be rolled back, which is a waste of time. This paper presents an algorithm that works efficiently to assess the damage caused in the database by malicious transaction and recovers it. …”
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    article
  5. 185

    Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves by S. Andhale, Yogesh

    Published 2018
    “…The TOA data of the wave reflected from the damage is used in the two arrival time difference and astroid algorithms to locate the damage in an enclosed area. …”
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  6. 186

    Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems by Rania A., Turky

    Published 2023
    “…The detailed modeling of the whole system is presented, including measured wind speed data, detailed switching techniques, a drive train model of the turbine, and real SMESD. …”
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    article
  7. 187
  8. 188

    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network by Fares Almomani (12585685)

    Published 2020
    “…<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO<sub>3</sub> on the performance of anaerobic digestion (AD) process. …”
  9. 189
  10. 190

    HARDWARE DESIGN AND VLSI IMPLEMENTATION OF A BYTE-WISE CRC GENERATOR CHIP by Sait, Sadiq M.

    Published 2020
    “…In this paper the ahrdware design and VLSi implementation of a byte-wise CRC generator is presented. The algorithm is based on the work presented in [10] in which a software implementation was proposed. …”
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    article
  11. 191

    A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

    Published 2023
    “…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …”
  12. 192

    Hardware design and VLSI implementation of a byte-wise CRCgenerator chip by Sait, Sadiq M.

    Published 1995
    “…The hardware design and VLSI implementation of a byte-wise CRC generator is presented. The algorithm is based on the work presented by Perez, Wismer and Becker (1983) in which a software implementation was proposed. …”
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    article
  13. 193

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

    Published 2022
    “…The esc-edRVFL is identified as the best-performing algorithm through a comprehensive evaluation of 31 UCI datasets.…”
  14. 194

    Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques by Fares, Samar

    Published 2024
    “…This paper presents two different methods for track-to-track fusion of drone tracks. …”
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  15. 195

    Local convexity preserving rational cubic spline curves by Sarfraz, M.

    Published 1997
    “…An algorithm is presented which constructs a curve by interpolating the given data points. …”
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    article
  16. 196

    Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks by Sharma, Neetan

    Published 2023
    “…A case study has been done in the Peer Panjal region. The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. …”
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  17. 197

    Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO by Majedeh Gheytanzadeh (17541927)

    Published 2022
    “…Accordingly, a dataset containg 258 data points was extracted from the DFT method to use in machine learning method. …”
  18. 198

    Parallel processing by Mansour, Nashat

    Published 2005
    “…Parallel algorithms, based on simulated annealing, neural networks and genetic algorithms, for mapping irregular data to multicomputers are presented and compared. …”
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  19. 199
  20. 200

    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

    Published 2024
    “…It utilizes Quasi-opposite-based learning (QOBL) to enhance the best solution obtained and, consequently, the entire population. The algorithm presented aims to solve the FS problem and has been assessed using benchmark optimization problems from the CEC’2017 and CEC’2022. …”
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