Search alternatives:
processing algorithm » processing algorithms (Expand Search)
learning algorithm » learning algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
a learning » _ learning (Expand Search)
Showing 661 - 680 results of 741 for search '(( elements method algorithm ) OR ((( a learning algorithm ) OR ( data processing algorithm ))))', query time: 0.12s Refine Results
  1. 661
  2. 662

    Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review by SHEHADEH, KHADIJA

    Published 2023
    “…New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …”
    Get full text
  3. 663

    Vibration suppression in a cantilever beam using a string-type vibration absorber by Issa, Jimmy S.

    Published 2017
    “…The string is rigidly connected to the fixed end of the beam and through a spring and damper to a second point on the beam. The finite element method is used to model the system and a reduced order model is obtained through modal reduction performed on both the string and the beam. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  4. 664

    A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making by Sachin Jain (19161721)

    Published 2024
    “…The availability of solar radiation throughout the country has been mapped here using ground-based measurements and satellite data. The regression-kriging algorithm and its variants are used to calibrate satellite data, through interpolation of ground solar radiation data. …”
  5. 665

    Scheduling and allocation in high-level synthesis using stochastic techniques by Sait, Sadiq M.

    Published 2020
    “…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. …”
    Get full text
    article
  6. 666

    Modelling of pollutant transport in compound open channels by Chatila, Jean Georges

    Published 1998
    “…The numerical computation of open-channel flows requires preparing and processing larger volumes of boundary and bathymetry data for computer inputs and the development of numerical algorithms for treating complex boundary condition, channel properties, and free surface effects. …”
    Get full text
    Get full text
    masterThesis
  7. 667

    Using artificial bee colony to optimize software quality estimation models. (c2015) by Abou Assi, Tatiana Antoine

    Published 2016
    “…In order to measure such software quality characteristics, we must wait until the software is implemented, tested and put to use for a certain amount of time. Several software metrics have been proposed in the literature to avoid this long and costly process, and they proved to be a good means of estimating software quality. …”
    Get full text
    Get full text
    masterThesis
  8. 668

    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers by Ali Sharida (17947847)

    Published 2023
    “…To develop the DT, a dense deep neural network (DNN) machine learning approach is used. …”
  9. 669

    Spatiotemporal Mapping and Monitoring of Mangrove Forests Changes From 1990 to 2019 in the Northern Emirates, UAE Using Random Forest, Kernel Logistic Regression and Naive Bayes Tr... by Elmahdy, Samy

    Published 2020
    “…The approach was developed based on random forest (RF), Kernel logistic regression (KLR), and Naive Bayes Tree machine learning algorithms which use multitemporal Landsat images. …”
    Get full text
    article
  10. 670

    Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes by Wadi, Ali

    Published 2019
    “…Optimality is guaranteed by accurately identifying the underlying statistical noise characteristics in experimental data. The estimator also quantifies the bias in the release, exhibited by the experimental data. …”
    Get full text
    article
  11. 671
  12. 672
  13. 673

    Reconstruction and simulation of neocortical microcircuitry by Khazen, Georges

    Published 2015
    “…The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
  14. 674

    Anonymizing multimedia documents by Haraty, Ramzi

    Published 2016
    “…We provide a sanitizing MD∗-algorithm to enforce de-linkability along with a utility function to evaluate the utility of multimedia documents that is preserved after the sanitizing process. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
  15. 675
  16. 676

    SemIndex: Semantic-Aware Inverted Index by Chbeir, Richard

    Published 2017
    “…We provide here a new approach, called SemIndex, that extends the standard inverted index by constructing a tight coupling inverted index graph that combines two main resources: a general purpose semantic network, and a standard inverted index on a collection of textual data. We also provide an extended query model and related processing algorithms with the help of SemIndex. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  17. 677

    Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production by Wulaer Shaersaikai (21436652)

    Published 2025
    “…The Grey Wolf Optimization (GWO) algorithm, which directs the system's optimization process, demonstrates a competitive trade-off between exergy efficiency, freshwater production, costs, NPV, and environmental impact. …”
  18. 678
  19. 679
  20. 680

    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions by Yinsong Chen (16685508)

    Published 2022
    “…However, existing studies usually utilize future data during the decomposition process and therefore cannot be appropriately employed for real-world applications, due to the inaccessibility of future data. …”