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Showing 221 - 240 results of 339 for search '(((( text processing algorithm ) OR ( data processing algorithm ))) OR ( element rl algorithm ))', query time: 0.13s Refine Results
  1. 221
    Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves

    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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  2. 222
    Bridge Structural Health Monitoring Using Mobile Sensor Networks

    Bridge Structural Health Monitoring Using Mobile Sensor Networks by Amin, Fouad

    Published 2022
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  3. 223
    A survey and comparison of wormhole routing techniques in a meshnetworks

    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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  4. 224
    DNA Base-Calling Techniques

    DNA Base-Calling Techniques by Odeh, Fadi

    Published 2008
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  5. 225
    Brain Source Localization in the Presence of Leadfield Perturbations

    Brain Source Localization in the Presence of Leadfield Perturbations by Momin, Rabiya Nakhat

    Published 2015
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  6. 226
    PERF solutions for distributed query optimization. (c1999)

    PERF solutions for distributed query optimization. (c1999) by Fany, Roula

    Published 1999
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  7. 227
    Design and analysis of entropy-constrained reflected residual vector quantization

    Design and analysis of entropy-constrained reflected residual vector quantization by Mousa, W.A.H.

    Published 2002
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  8. 228
    A novel hybrid methodology for fault diagnosis of wind energy conversion systems

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

    Published 2023
    “…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …”
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  9. 229
    Vehicular-OBUs-As-On-Demand-Fogs

    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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  10. 230
    Digital Image Watermarking Using Balanced Multiwavelets

    Digital Image Watermarking Using Balanced Multiwavelets by Ghouti, L.

    Published 2006
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  11. 231
    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials

    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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  12. 232
    Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization

    Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization by Alhadhrami, Esra Ebrahim

    Published 2023
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  13. 233
    Indoor Localization Schemes for Mobile Robots

    Indoor Localization Schemes for Mobile Robots by Al-Jarrah, Islam Mohammad-Amin

    Published 2010
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  14. 234
    Structural similarity evaluation between XML documents and DTDs

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

    Published 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. …”
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  15. 235
    A multi-pretraining U-Net architecture for semantic segmentation

    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. …”
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  16. 236
    A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security

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

    Published 2023
    “…Here, the Quantized Identical Data Imputation (QIDI) mechanism is implemented at first for data preprocessing and normalization. …”
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  17. 237
    EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach

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

    Published 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.…”
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  18. 238
    Recovery of business intelligence systems

    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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  19. 239
    An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services

    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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  20. 240
    A novel few shot learning derived architecture for long-term HbA1c prediction

    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. …”
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