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Showing 301 - 320 results of 447 for search '(( elements deer algorithm ) OR ((( based detection algorithm ) OR ( data processing algorithm ))))', query time: 0.11s Refine Results
  1. 301

    Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura, Habiba

    Published 2023
    “…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. …”
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    article
  2. 302

    Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura Habiba (17808302)

    Published 2023
    “…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. …”
  3. 303

    Competitive learning/reflected residual vector quantization for coding angiogram images by Mourn, W.A.H.

    Published 2003
    “…Medical images need to be compressed for the purpose of storage/transmission of a large volume of medical data. Reflected residual vector quantization (RRVQ) has emerged recently as one of the computationally cheap compression algorithms. …”
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  4. 304

    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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  5. 305

    A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

    Published 2025
    “…The collection of digital images for monitoring underwater habitats, such as seagrass meadows, has increased significantly as recent progress in imaging technology has made it easier to collect high-resolution data. The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …”
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    A survey and comparison of wormhole routing techniques in a meshnetworks by Al-Tawil, K.M.

    Published 1997
    “…They consist of many processing nodes that interact by sending messages (containing both data and synchronization information) over a communication link, between nodes. …”
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    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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  11. 311

    Information reconciliation through agent controlled graph model. (c2018) by Saba, Rita

    Published 2018
    “…Our approach provides a damage assessment and recovery algorithm that is based on agents and graphs.…”
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    masterThesis
  12. 312
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    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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  14. 314
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    CNN and HEVC Video Coding Features for Static Video Summarization by Issa, Obada

    Published 2022
    “…The proposed solutions are compared with existing works based on an SIFT flow algorithm that uses CNN features. …”
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    article
  16. 316

    Vehicular-OBUs-As-On-Demand-Fogs by Sami, Hani

    Published 2020
    “…For instance, real-time vehicular applications require fast processing of the vast amount of generated data by vehicles in order to maintain service availability and reachability while driving. …”
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  17. 317
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    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins by Samir Brahim, Belhaouari

    Published 2025
    “…ConclusionWe present the effectiveness of DeepRaman, an innovative architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation method, in classifying raw SERS Raman spectral data from biological specimens with unparalleled accuracy relative to conventional machine learning algorithms. …”
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    article
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