Showing 161 - 180 results of 771 for search '(( data processing algorithm ) OR ((( developing a algorithm ) OR ( element data algorithm ))))', query time: 0.11s Refine Results
  1. 161

    Formal synthesis of VLSI layouts from algorithmic specifications by Sait, Sadiq M.

    Published 2020
    “…In this paper we present a formal approach for high level synthesis. This formal high level syntesis system uses recursive algorithms to model the behaviour to be synthesized. …”
    Get full text
    article
  2. 162

    Computational Experience On Four Algorithms For The Hard Clustering Problem by AlSultan, K.S.

    Published 2020
    “…Several algorithms have been developed to solve this problem which include the k-means algorithm, the simulated annealing algorithm, the tabu search algorithm, and the genetic algorithm. …”
    Get full text
    article
  3. 163

    Social spider optimization algorithm: survey and new applications by Abualigah, Laith

    Published 2024
    “…This survey studied the SSO and compared it with other PSO algorithms to find the best-performing algorithm based on a benchmark. …”
    Get full text
  4. 164
  5. 165

    Development and Implementation of a Hybrid Intelligent Controller for Interior Permanent Magnet Synchronous Motor Drives by Nasir Uddin, M.

    Published 2004
    “…At each operating condition a genetic algorithm is used to optimize the PI controller parameters in a closed-loop vector control scheme. …”
    Get full text
    article
  6. 166
  7. 167

    Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts by ALSHAMSI, SUROUR

    Published 2022
    “…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …”
    Get full text
  8. 168

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

    Published 2019
    “…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …”
    Get full text
    Get full text
  9. 169

    Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

    Published 2024
    “…Lastly, we provide public access to the generated datasets to facilitate bench-marking of new feature selection algorithms in the field via our Github repository. The contributions of this paper aim to foster the development of novel feature selection algorithms and advance their study.…”
    Get full text
    article
  10. 170

    Developing an online hate classifier for multiple social media platforms by Joni Salminen (7434770)

    Published 2020
    “…We make our code publicly available for application in real software systems as well as for further development by online hate researchers.</p><h2>Other Information</h2> <p> Published in: Human-centric Computing and Information Sciences<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1186/s13673-019-0205-6" target="_blank">http://dx.doi.org/10.1186/s13673-019-0205-6</a></p>…”
  11. 171

    A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net by Sania Gul (18272227)

    Published 2023
    “…Although, there are dedicated audio processing DNNs, yet, many recent models of AE have utilized U-Net: a DNN based on Convolutional Neural Network (CNN), fundamentally developed for image segmentation. …”
  12. 172

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

    Published 2020
    “…To achieve this, two big data processing paradigms are evaluated with a set of qualitative and quantitative metrics with subsequent recommendations. …”
    Get full text
    article
  13. 173

    Design and development of an embedded controller for roboticmanipulator by Bakhashwain, J.M.

    Published 1998
    “…The embedded controller is microprocessor based, which provides the designer with the advantage of using a highly-integrated processor and the ability to develop the software needed…”
    Get full text
    Get full text
    article
  14. 174

    An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive by Rahman, M. A.

    Published 2006
    “…An artificial neural network (ANN) for online tuning of a genetic algorithm based PI controller for interior permanent magnet synchronous motor (IPMSM) drive is presented in this paper. …”
    Get full text
    article
  15. 175

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

    Published 2004
    “…Assessing software quality is fundamental in the software developing field. Most software quality characteristics cannot be measured before a certain period of use of the software product. …”
    Get full text
    Get full text
    Get full text
    masterThesis
  16. 176

    Large language models for code completion: A systematic literature review by Rasha Ahmad Husein (19744756)

    Published 2024
    “…<p>Code completion serves as a fundamental aspect of modern software development, improving developers' coding processes. …”
  17. 177
  18. 178

    An efficient approach for textual data classification using deep learning by Abdullah Alqahtani (7128143)

    Published 2022
    “…Textual data contains much useless information that must be pre-processed. …”
  19. 179
  20. 180

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

    Published 2024
    “…The proposed method, named Eye-means, emulates the natural ocular process of estimating initial centroids. To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …”
    Get full text
    Get full text
    Get full text
    masterThesis