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Showing 261 - 280 results of 410 for search '(((( data processing algorithm ) OR ( based training algorithm ))) OR ( element data algorithm ))', query time: 0.12s Refine Results
  1. 261
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    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials by Ghouti, Lahouari

    Published 1997
    “…However, the improved performance is achieved at the expense of higher computational complexity and data requirements.…”
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    masterThesis
  3. 263

    Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning by MEZAHEM, FATEMA HAMAD

    Published 2022
    “…Prior to performing sentiment analysis, it is necessary to prepare the data so that it may be used to train machine learning (ML) algorithms. …”
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  4. 264
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    A multi-pretraining U-Net architecture for semantic segmentation by Cagla Copurkaya (22502042)

    Published 2025
    “…The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …”
  7. 267

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

    Published 2023
    “…Many efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …”
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    article
  8. 268
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    A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study by Masurkar, Faeez

    Published 2022
    “…Finally, a 3D Finite Element simulation was conducted to validate the findings and each observation resulting from the experiments. …”
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  10. 270

    Recovery of business intelligence systems by Haraty, Ramzi A.

    Published 2018
    “…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …”
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    article
  11. 271

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

    Published 2018
    “…After that, the Natural Language Processing (NLP) tasks are used to process the services’ profiles and extract the ontological keywords. …”
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  12. 272

    A novel few shot learning derived architecture for long-term HbA1c prediction by Marwa Qaraqe (10135172)

    Published 2024
    “…Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. …”
  13. 273

    Automated skills assessment in open surgery: A scoping review by Hawa Hamza (17707224)

    Published 2025
    “…We highlight the progress in automated skills assessment during open surgery with advancements in sensor technology, and AI algorithms with high prediction accuracies. Further developments in data acquisition and processing methods are essential to facilitate clinical implementation of such technologies.…”
  14. 274

    Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS by Tekli, Joe

    Published 2018
    “…To do so, we design and construct a semantic-aware inverted index structure called SemIndex, extending the standard inverted index by constructing a tightly coupled inverted index graph that combines two main resources: a semantic network and a standard inverted index on a collection of textual data. We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …”
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    article
  15. 275
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    Random vector functional link network: Recent developments, applications, and future directions by A.K. Malik (16003193)

    Published 2023
    “…Generally, the back propagation (BP) based iterative approaches are used to train the neural networks, however, it results in the issues of local minima, sensitivity to learning rate and slow convergence. …”
  17. 277

    Single-channel speech denoising by masking the colored spectrograms by Sania Gul (18272227)

    Published 2025
    “…Similarly, it offers an improvement of 1 % in STOI and a reduction of 33 and 200 times, respectively, in network size and training epochs when compared to a complex variational U-Net-based model. …”
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    Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends by Abdellatif M. Sadeq (16931841)

    Published 2024
    “…The k-fold cross-validation technique is used for model training, and the developed neural network-based model is used to investigate the effects of operating parameters on the premixed turbulent flames. …”
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