يعرض 181 - 200 نتائج من 307 نتيجة بحث عن '(((( develop firefly algorithm ) OR ( elements per algorithm ))) OR ( data processing algorithm ))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 181
  2. 182
  3. 183

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

    منشور في 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. …"
    احصل على النص الكامل
    احصل على النص الكامل
    article
  4. 184

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

    منشور في 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. …"
    احصل على النص الكامل
  5. 185
  6. 186

    A survey and comparison of wormhole routing techniques in a meshnetworks حسب Al-Tawil, K.M.

    منشور في 1997
    "…They consist of many processing nodes that interact by sending messages (containing both data and synchronization information) over a communication link, between nodes. …"
    احصل على النص الكامل
    احصل على النص الكامل
    article
  7. 187
  8. 188
  9. 189

    On the complexity of multi-parameterized cluster editing حسب Abu-Khzam, Faisal

    منشور في 2017
    "…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  10. 190
  11. 191
  12. 192

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

    منشور في 2023
    "…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …"
  13. 193

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

    منشور في 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. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  14. 194
  15. 195

    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials حسب Ghouti, Lahouari

    منشور في 1997
    "…However, the improved performance is achieved at the expense of higher computational complexity and data requirements.…"
    احصل على النص الكامل
    masterThesis
  16. 196
  17. 197

    Structural similarity evaluation between XML documents and DTDs حسب Tekli, J.

    منشور في 2007
    "…The automatic processing and management of XML-based data are ever more popular research issues due to the increasing abundant use of XML, especially on the Web. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    conferenceObject
  18. 198

    A multi-pretraining U-Net architecture for semantic segmentation حسب Cagla Copurkaya (22502042)

    منشور في 2025
    "…The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …"
  19. 199

    A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security حسب S. Shitharth (12017480)

    منشور في 2023
    "…Here, the Quantized Identical Data Imputation (QIDI) mechanism is implemented at first for data preprocessing and normalization. …"
  20. 200

    EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach حسب Muhammad Adeel Asghar (6724982)

    منشور في 2019
    "…The BoDF model achieves 93.8% accuracy in the SEED data set and 77.4% accuracy in the DEAP data set, which is more accurate compared to other state-of-the-art methods of human emotion recognition.…"