Search Results - (( semantics implementation mining algorithm ) OR ( java segmentation using algorithm ))

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  1. 1
    The semantics of norms mining in multi-agent systems

    The semantics of norms mining in multi-agent systems by Ahmed Mahmoud, Moamin, Ahmad, Mohd Sharifuddin, Ahmad, Azhana, Mohd Yusoff, Mohd Zaliman, Mustapha, Aida

    “…We define the semantics of entities and processes that are involved in the norms mining technique. …”
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  2. 2
    The semantics of norms mining in multi-agent systems

    The semantics of norms mining in multi-agent systems by Mahmoud M.A., Ahmad M.S., Ahmad A., Yusoff M.Z.M., Mustapha A.

    Published 2023
    “…We define the semantics of entities and processes that are involved in the norms mining technique. …”
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  3. 3
    Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image

    Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi

    Published 2014
    “…The decision tree results were implemented in eCognition software to provide an effective and fast generation of semantic network in OBIA.…”
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  4. 4
    Paper Survey And Example Of Collaborative Filtering Implementation In Recommender System

    Paper Survey And Example Of Collaborative Filtering Implementation In Recommender System by Hanafi, Suryana, Nanna, Hasan Basari, Abd Samad

    Published 2017
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  5. 5
    USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING

    USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING by MUFLIKHAH, LAILIL

    Published 2010
    “…Document clustering is an implementation of data mining task. By using similarity measurement of documents‟ characteristic, they can be clustered based on the same category or topic. …”
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  6. 6
    An automated learner for extracting new ontology relations

    An automated learner for extracting new ontology relations by Amaal Saleh Hassan, Al Hashimy, Narayanan, Kulathuramaiyer

    Published 2013
    “…As this task 'automatic recognition of semantic relations between pairs of words in text' can be used in many NLP applications, its implementation are demanding and may include many potential methodologies. …”
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  7. 7
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  8. 8
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  9. 9
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  10. 10
    Multi-modality ontology semantic image retrieval with user interaction model / Mohd Suffian Sulaiman

    Multi-modality ontology semantic image retrieval with user interaction model / Mohd Suffian Sulaiman by Sulaiman, Mohd Suffian

    Published 2020
    “…To realise this approach, the semantic image retrieval prototype is developed based on the existing foundation algorithm and customised to provide the ability for user engagement in order to enhance the retrieval performance. …”
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  11. 11
    Stylometric authorship balanced attribution prediction method

    Stylometric authorship balanced attribution prediction method by Mustafa, Tareef Kamil

    Published 2011
    “…Stylometric authorship attribution is one of the important approaches in the text mining field that has received growing attention due to its delicateness. …”
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