Search Results - (( semantics implementation learning algorithm ) OR ( java application optimisation algorithm ))

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  1. 1
    Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification

    Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification by Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J., Hasan, M.H.

    Published 2018
    “…There are existing implementations of Latent Dirichlet Allocation (LDA) algorithm as a semantic classifier to arrange the data for efficient retrieval. …”
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  2. 2
    Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification

    Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification by Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J., Hasan, M.H.

    Published 2018
    “…There are existing implementations of Latent Dirichlet Allocation (LDA) algorithm as a semantic classifier to arrange the data for efficient retrieval. …”
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  3. 3
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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  4. 4
    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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  5. 5
    Ontology enrichment with causation relations

    Ontology enrichment with causation relations by Amaal Saleh Hassan, Al Hashimy, Narayanan, Kulathuramaiyer

    Published 2014
    “…The proposed framework extracts initial semantic patterns for causation relation from the input samples, then filters these patterns using two novel algorithms, namely, the “Purpose Based Word Sense Disambiguation” which helps in determining the causation senses for input pair of words and the “Graph Based Semantics” which determines the existence of the causation relations in the sentence and to extract their cause-effect parts. …”
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  6. 6
    The development and implementation of web content adaptation and negotiation based on user, device and network profiles / Harizah Sazali

    The development and implementation of web content adaptation and negotiation based on user, device and network profiles / Harizah Sazali by Sazali, Harizah

    Published 2006
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    Student Project
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  7. 7
    E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan

    E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan by Mohd Ridzuan, Nur Hafizah

    Published 2020
    “…As the future works, the system can be improved by applied the system using mobile apps application to make the system can have easier access and implementation of another technique such as semantic-based searching and the usage of stemming algorithm would be considered to produce more meaningful results.…”
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    Thesis
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  8. 8
    Automated visual defect detection using deep learning

    Automated visual defect detection using deep learning by Loh, Xiao

    Published 2022
    “…The main goal of this project is to study and develop various automated defect detection models by utilizing state-of-the-art deep learning segmentation algorithms, including U-Net, Double U-Net, SETR, TransU-Net, TransDAU-Net, CAM and SEAM to perform semantic segmentation in fully supervised and weakly supervised learning manners. …”
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    Final Year Project / Dissertation / Thesis
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  9. 9
    Deep learning-based water segmentation for autonomous surface vessel

    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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  10. 10
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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  11. 11
    Context enrichment framework for sentiment analysis in handling word ambiguity resolution

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

    Published 2024
    “…Eventually, the assessed models of WAR and NAM, along with the evaluated word polarity extraction from dictionary lexicons, are integrated into the proposed CEF. Machine learning algorithms are deployed to perform sentiment classification. …”
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  12. 12
    Computer-assisted pterygium screening system: a review

    Computer-assisted pterygium screening system: a review by Abdani, Siti Raihanah, Zulkifley, Mohd Asyraf, Shahrimin, Mohamad Ibrani, Zulkifley, Nuraisyah Hani

    Published 2022
    “…The deep learning networks have been successfully implemented for three major purposes, which are to classify an image regarding whether there is the presence of pterygium tissues or not, to localize the lesion tissues through object detection methodology, and to semantically segment the lesion tissues at the pixel level. …”
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  13. 13
    Development of durian ontology from unstructured text and external knowledge source / Khairul Nurmazianna Ismail

    Development of durian ontology from unstructured text and external knowledge source / Khairul Nurmazianna Ismail by Ismail, Khairul Nurmazianna

    Published 2014
    “…Semantic web aims to improve current web retrieval ability by implementing ontology. …”
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  14. 14
    ProCAss: An intelligent assessment for computer programming corpus

    ProCAss: An intelligent assessment for computer programming corpus by Zen, Kartinah, Tarmizi, Seleviawati, A.I, Dayang Nurfatimah, Din, Inson, Chua, Sui Soon

    Published 2005
    “…Electronic assessment (e-assessment) becomes more popular in educational tools especially in e-learning environment.This is because it has some advantages such as reducing the staffs needed for assessment tasks, automated marking is not prone to human error and it gives instant feedback to the students.However, the e-assessment existed only more on assessing essays and lack of implementation in assessing computer program in computer science environment [Haley, et.al, 2003]. …”
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    Conference or Workshop Item
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  15. 15
    Development of brain tumor segmentation of magnetic resonance imaging (MRI) using u-net deep learning

    Development of brain tumor segmentation of magnetic resonance imaging (MRI) using u-net deep learning by Jwaid W.M., Al-Hussein Z.S.M., Sabry A.H.

    Published 2023
    “…The resultant semantic maps are inserted into the decoder fraction to obtain the full-resolution probability maps. …”
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  16. 16
    Benchmarking performance of document level classification and topic modeling

    Benchmarking performance of document level classification and topic modeling by Bhatti, Muhammad Shahid, Ullah, Azmat, Latip, Rohaya, Sohail, Abid, Riaz, Anum, Hassan, Rohail

    Published 2021
    “…State-of-the-art machine learning and deep dense neural network approaches for Urdu news classification have been used. …”
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  17. 17
    Query disambiguation approach using triple-filter

    Query disambiguation approach using triple-filter by Agaie, Aliyu Isah

    Published 2017
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