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Showing 241 - 260 results of 447 for search '(( elements deer algorithm ) OR ((( based detection algorithm ) OR ( data processing algorithm ))))', query time: 0.13s Refine Results
  1. 241

    A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method by Shahid Rahman (16904613)

    Published 2022
    “…The LSB substitution method can minimize the error rate in embedding process and can achieve greater reliability in criteria, using novel algorithm based on value difference. …”
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    PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

    Published 2023
    “…In this paper, we propose a chatbot for detecting the students feeling by using machine-learning algorithms. …”
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  4. 244

    PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

    Published 2023
    “…In this paper, we propose a chatbot for detecting the students feeling by using machine-learning algorithms. …”
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  5. 245

    A GENERAL REAL-TIME DECODER BASED ON AMD2900 DEVICES by SOOMRO, AA

    Published 2020
    “…Abstract A bit-slice microprocessor-based real-time decoder has been proposed in this paper. …”
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    article
  6. 246
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    Approximate XML structure validation based on document–grammar tree similarity by Tekli, Joe

    Published 2015
    “…Our approach exploits the concept of tree edit distance, introducing a novel edit distance recurrence and dedicated algorithms to effectively compare XML documents and grammar structures, modeled as ordered labeled trees. …”
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    C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments by Raun, Kristo

    Published 2023
    “…The aim of streaming conformance checking is to find dis crepancies between process executions on streaming data and the refer ence process model. …”
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  12. 252

    MSLP: mRNA subcellular localization predictor based on machine learning techniques by Saleh Musleh (15279190)

    Published 2023
    “…On the other hand, physicochemical properties and Z-curve based features contributed the most to ExR and mitochondria detection. …”
  13. 253

    Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring by Aya Nabil Sayed (17317006)

    Published 2024
    “…Our data-driven occupancy detection approach utilized Machine Learning (ML) algorithms to intelligently determine room occupancy, allowing for precise energy management based on real-time usage patterns. …”
  14. 254

    Hybrid deep learning based threat intelligence framework for Industrial IoT systems by Jahanzaib Malik (23718816)

    Published 2025
    “…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. …”
  15. 255

    A 3-D vision-based man-machine interface for hand-controlled telerobot by Al-Mouhamed, M.A.

    Published 2005
    “…To determine the three-dimensional (3-D) position a tracking algorithm based on uncalibrated cameras with weak perspective projection model is used. …”
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    article
  16. 256

    Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation by Hariprasath Manoharan (14157966)

    Published 2023
    “…<p dir="ltr">The process of using robotic technology to examine underwater systems is still a difficult undertaking because the majority of automated activities lack network connectivity. …”
  17. 257

    Design of an innovative and self-adaptive-smart algorithm to investigate the structural integrity of a rail track using Rayleigh waves emitted and sensed by a fully non-contact las... by Masurkar, Faeez

    Published 2020
    “…In view of this, an innovative signal processing technique called a self-adaptive-smart algorithm (SASA) was designed and developed. …”
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  18. 258

    Defining quantitative rules for identifying influential researchers: Insights from mathematics domain by Ghulam Mustafa (458105)

    Published 2024
    “…Within each categorical grouping, we meticulously selected the five most pivotal parameters. This selection process was guided by an importance score, that was derived after assessing its influence on the model's performance in the classification of data pertaining to both awardees and non awardees. …”
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