Showing 1 - 12 results of 12 for search '"Applied Computer Science"', query time: 0.04s Refine Results
  1. 1
    A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY

    A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY by Marcin PERY, Robert WASZKOWSKI

    Published 2024-12-01
    “…Applied Computer Science…”
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  2. 2
    PUPIL DIAMETER AND MACHINE LEARNING FOR DEPRESSION DETECTION: A COMPARATIVE STUDY WITH DEEP LEARNING MODELS

    PUPIL DIAMETER AND MACHINE LEARNING FOR DEPRESSION DETECTION: A COMPARATIVE STUDY WITH DEEP LEARNING MODELS by Islam MOHAMED, Mohamed EL-WAKAD, Khaled ABBAS, Mohamed ABOAMER, Nader A. Rahman MOHAMED

    Published 2024-12-01
    “…Applied Computer Science…”
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  3. 3
    FUZZY REGION MERGING WITH HIERARCHICAL CLUSTERING TO FIND OPTIMAL INITIALIZATION OF FUZZY REGION IN IMAGE SEGMENTATION

    FUZZY REGION MERGING WITH HIERARCHICAL CLUSTERING TO FIND OPTIMAL INITIALIZATION OF FUZZY REGION IN IMAGE SEGMENTATION by Wawan GUNAWAN

    Published 2024-12-01
    “…Applied Computer Science…”
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  4. 4
    EXPLORING THE EXPEDIENCY OF BLOCKCHAIN-BASED SOLUTIONS: REVIEW AND CHALLENGES

    EXPLORING THE EXPEDIENCY OF BLOCKCHAIN-BASED SOLUTIONS: REVIEW AND CHALLENGES by Francisco Javier MORENO ARBOLEDA, Georgia GARANI, Sergio Andrés ARBOLEDA ZULUAGA

    Published 2024-12-01
    “…Applied Computer Science…”
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  5. 5
    ENHANCING TOMATO LEAF DISEASE DETECTION THROUGH MULTIMODAL FEATURE FUSION

    ENHANCING TOMATO LEAF DISEASE DETECTION THROUGH MULTIMODAL FEATURE FUSION by Puja SARAF, Jayantrao PATIL, Rajnikant WAGH

    Published 2024-12-01
    “…Applied Computer Science…”
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  6. 6
    FEASIBILITY OF USING LOW-PARAMETER LOCAL LLMS IN ANSWERING QUESTIONS FROM ENTERPRISE KNOWLEDGE BASE

    FEASIBILITY OF USING LOW-PARAMETER LOCAL LLMS IN ANSWERING QUESTIONS FROM ENTERPRISE KNOWLEDGE BASE by Marcin BADUROWICZ, Stanisław SKULIMOWSKI, Maciej LASKOWSKI

    Published 2024-12-01
    “…Applied Computer Science…”
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  7. 7
    ENHANCEMENT OF ARTIFICIAL IMMUNE SYSTEMS FOR THE TRAVELING SALESMAN PROBLEM THROUGH HYBRIDIZATION WITH NEIGHBORHOOD IMPROVEMENT AND PARAMETER FINE-TUNING

    ENHANCEMENT OF ARTIFICIAL IMMUNE SYSTEMS FOR THE TRAVELING SALESMAN PROBLEM THROUGH HYBRIDIZATION WITH NEIGHBORHOOD IMPROVEMENT AND PARAMETER FINE-TUNING by Peeraya THAPATSUWAN, Warattapop THAPATSUWAN, Chaichana KULWORATIT

    Published 2024-12-01
    “…Applied Computer Science…”
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  8. 8
    SHARPNESS IMPROVEMENT OF MAGNETIC RESONANCE IMAGES USING A GUIDED-SUBSUMED UNSHARP MASK FILTER

    SHARPNESS IMPROVEMENT OF MAGNETIC RESONANCE IMAGES USING A GUIDED-SUBSUMED UNSHARP MASK FILTER by Manar AL-ABAJI, Zohair AL-AMEEN

    Published 2024-12-01
    “…Applied Computer Science…”
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  9. 9
    CLASSIFICATION AND PREDICTION OF BENTHIC HABITAT FROM SCIENTIFIC ECHOSOUNDER DATA: APPLICATION OF MACHINE LEARNING ALGORITHMS

    CLASSIFICATION AND PREDICTION OF BENTHIC HABITAT FROM SCIENTIFIC ECHOSOUNDER DATA: APPLICATION OF MACHINE LEARNING ALGORITHMS by Baigo HAMUNA, Sri PUJIYATI, Jonson Lumban GAOL, Totok HESTIRIANOTO

    Published 2024-12-01
    “…Applied Computer Science…”
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  10. 10
    EVALUATING LARGE LANGUAGE MODELS FOR MEDICAL INFORMATION EXTRACTION: A COMPARATIVE STUDY OF ZERO-SHOT AND SCHEMA-BASED METHODS

    EVALUATING LARGE LANGUAGE MODELS FOR MEDICAL INFORMATION EXTRACTION: A COMPARATIVE STUDY OF ZERO-SHOT AND SCHEMA-BASED METHODS by Zakaria KADDARI, Ikram El HACHMI, Jamal BERRICH, Rim AMRANI, Toumi BOUCHENTOUF

    Published 2024-12-01
    “…Applied Computer Science…”
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  11. 11
    NOVEL MULTI-MODAL OBSTRUCTION MODULE FOR DIABETES MELLITUS CLASSIFICATION USING EXPLAINABLE MACHINE LEARNING

    NOVEL MULTI-MODAL OBSTRUCTION MODULE FOR DIABETES MELLITUS CLASSIFICATION USING EXPLAINABLE MACHINE LEARNING by Reehana SHAIK, Ibrahim SIDDIQUE

    Published 2024-12-01
    “…Applied Computer Science…”
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  12. 12
    STUDY ON DEEP LEARNING MODELS FOR THE CLASSIFICATION OF VR SICKNESS LEVELS

    STUDY ON DEEP LEARNING MODELS FOR THE CLASSIFICATION OF VR SICKNESS LEVELS by Haechan NA, Yoon Sang KIM

    Published 2024-12-01
    “…Applied Computer Science…”
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