Search Results - (( developing entity recognition algorithm ) OR ( java segmentation using algorithm ))

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  1. 1
    A hybrid approach to semi-supervised named entity recognition in health, safety and environment reports

    A hybrid approach to semi-supervised named entity recognition in health, safety and environment reports by Sari, Y., Hassan, M.F., Zamin, N.

    Published 2009
    “…They share a similar idea i.e. to extract important facts from unstructured text which later help to populate database entries. Name Entity Recognition (NER) is one of the main task needed to develop text mining systems in which it is used to identify and classify entities in the text into predefined categories such as the names of persons, organizations, locations, dates, times, quantities, monetary values, percentages, etc. …”
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  2. 2
    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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  3. 3
    The development of virtual product life cycle design tool using artificial intelligence technique

    The development of virtual product life cycle design tool using artificial intelligence technique by Harun, Habibollah, Ismail @ Ishak, Hasrul Haidar, Sukimin, Zuraini

    Published 2008
    “…The code is recognizing line by line to classify which categories it belongs to in facilitating the recognition of entities in geometry. The identification of the geometric entities assists us in identifying the features of the 3D object. …”
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    Monograph
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  4. 4
    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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    Book
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  5. 5
    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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  6. 6
    Classification and detection of intelligent house resident activities using multiagent

    Classification and detection of intelligent house resident activities using multiagent by ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.

    Published 2013
    “…Result shows that, the algorithm can successfully identify 135 unique tasks of different lengths.This algorithm is surely being an alternate way of pattern recognition in intelligent home.…”
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  7. 7
    Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser

    Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser by Sari, Y., Hassan, M.F., Zamin, N.

    Published 2009
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  8. 8
    Development of a parallel clustering of bilingual corpora based on reduced terms

    Development of a parallel clustering of bilingual corpora based on reduced terms by Leow, Ching Leong

    Published 2015
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  9. 9
    An intelligent categorization tool for malay research articles

    An intelligent categorization tool for malay research articles by Mohd Norhisham Razali, Rayner Alfred, Chin, Kim On

    Published 2015
    “…Hence, by increasing the mapping percentage for the bilingual clusters, a more robust clustering algorithm can be developed for clustering bilingual documents. …”
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    Research Report
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  10. 10
    Ump Intelligent Chatbot Using Dialogflow

    Ump Intelligent Chatbot Using Dialogflow by Joachim, Agostain

    Published 2022
    “…Utilizing the Natural Language keyword phrases model can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. …”
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    Undergraduates Project Papers
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  11. 11
    Framework for pedestrian walking behaviour recognition to minimize road accident

    Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

    Published 2021
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  12. 12
    Framework for pedestrian walking behaviour recognition to minimize road accident

    Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

    Published 2021
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  13. 13
    Automate customer support handling E-Commerce enquiry using ChatGPT

    Automate customer support handling E-Commerce enquiry using ChatGPT by Teo, Wen Jin

    Published 2024
    “…Machine Learning-based Named Entity Recognition (NER) is employed to identify and extract specific entities, while contextual analysis algorithms determine message relevance for summarization. …”
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