Search Results - (( semantics orientation based algorithm ) OR ( java implication based algorithm ))

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  1. 1

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…Generally, these source codes go through the preprocessing, comparison, extraction, generate program semantics and classification processes. A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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    Article
  2. 2

    Algorithms for extracting adjacency matrix based on Formal Concept Analysis (FCA) by Hasni, Hassan, Aznida Hayati, Zakaria@Mohamad, Mohd Isa, Awang, Mokhairi, Makhtar, Rohana, Ismail, Fadhilah, Ahmad

    Published 2017
    “…The desire to achieve a holistic representation of Information Retrieval (IR) with the aim for a human-oriented form of representation has spurred the growth of concept-based IR search techniques such as the Semantic Web technology. …”
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    Conference or Workshop Item
  3. 3

    Food image representation based on modified orientation map by Abdulateef, Salwa Khalid, Mahmuddin, Massudi, Harun, Nor Hazlyna

    Published 2017
    “…Orientation map is an image representation method representing edges of objects in an image as a set of short line segments instead of pixels representation.The orientation map approach not only aims to extract the key orientation information which constitutes the semantic framework of the visual scene, but also to remove the insignificant elements which barely play a role in image understanding.However, there are two main problems in the current computational approach of orientation map: 1-the outliers in the orientation map 2- the deformities in some line segments.These two problems have an adverse impact on any algorithmic work for image interpretation. …”
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    Article
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    Recognition of multi-type and multi-oriented text in videos / Sangheeta Roy by Sangheeta , Roy

    Published 2018
    “…Since keyword spotting does not involve semantic information to retrieve the video events, a new classification algorithm has been proposed based on tampered and context features to classify the caption and scene text types which facilitates recognition to achieve good recognition rate. …”
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    Thesis
  6. 6

    A computational framework for predicting software quality-in-use from software reviews by Atoum, Issa

    Published 2015
    “…In semantic similarity area, we proposed a novel Weighted Sentence Similarity Measure (WSSM) and developed an algorithm to predict a review-sentence QinU topic (QinU characteristic or software aspect). …”
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    Thesis
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    Deep learning-based water segmentation for autonomous surface vessel by Mohd Adam, Muhammad Ammar, Ibrahim, Ahmad Imran, Zainal Abidin, Zulkifli, Mohd Zaki, Hasan Firdaus

    Published 2020
    “…In this work, the deep learning models based on Convolutional Neural Network (CNN) to implement binary semantic segmentation is studied. …”
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    Proceeding Paper
  10. 10

    Keyword query processing interface model of ontological natural language manipulation by Hasany, Syed Muhammad Noman

    Published 2010
    “…Less work is performed in the direction of enhancing expressiveness, supporting lengthy queries and answering the queries with relevance oriented ranking.We are concerned with enhancing the keyword query processing model in terms of handling expressive keyword queries and syntactic questions that incorporates quantifier restrictions and AND-OR semantics on RDF knowledge bases. …”
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    Thesis
  11. 11

    Context enrichment framework for sentiment analysis in handling word ambiguity resolution by Yusof, Nor Nadiah

    Published 2024
    “…An enhancement of a generic sentiment analysis framework is introduced to address these issues, ensuring accurate texts classification in predicting the sentiment orientation. The proposed framework integrates enriched semantic information and a word ambiguity resolution strategy into sentiment analysis which is called context enrichment framework and aims to classify the sentiment texts by incorporating both context and semantic information. …”
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    Thesis
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