Search Results - (( model visualization a algorithm ) OR ( among construction based algorithm ))

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  1. 1
    EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique

    EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique by Liew, Siaw Hong

    Published 2016
    “…Modelling distinctive characteristics among individuals, especially in a dynamic environment involves incremental knowledge updates from time to time. …”
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  2. 2
    Local and global measures for measuring performance of big data analytics process

    Local and global measures for measuring performance of big data analytics process by Ali, Ismail Mohamed

    Published 2019
    “…Then, based on the conceptual model, a questionnaire was developed. …”
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  3. 3
    Development of image recognition system for steel defects detection

    Development of image recognition system for steel defects detection by Chen, Wai Yang

    Published 2022
    “…For the rusting detection algorithm, a deep learning model, Single Shot Detector (SSD), was trained to detect and crop the hot rolled steel from the input image for colour detection. …”
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  4. 4
    Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia

    Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia by Ajibola, Lamidi-Sarumoh Alaba

    Published 2019
    “…The data collected was used to learn the structure of BN via some known algorithms using R programming language. Based on related literature on KAP regarding dengue studies done in Malaysia from 1986 to 2017, a framework of handcraft BN was also formulated with dengue KAP expert opinion. …”
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  5. 5
    Visual and semantic context modeling for scene-centric image annotation

    Visual and semantic context modeling for scene-centric image annotation by Zand, Mohsen, Doraisamy, Shyamala, Abdul Halin, Alfian, Mustaffa, Mas Rina

    Published 2015
    “…The sub-visual distributions are discovered through a clustering algorithm, and probabilistically associated with semantic classes using mixture models. …”
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  6. 6
    Using the line array representation as an alternative method for understanding whole number multiplication among primary students

    Using the line array representation as an alternative method for understanding whole number multiplication among primary students by Chai, Chin Pheng

    Published 2015
    “…This study aims to examine how Line Array Representation can support primary school students' understanding in single digit multiplication (SDM) and multi-digit multiplication (MDM) whole number calculations among Year 3 and Year 5 students as well as to determine its effect on the students' understanding of whole number multiplication through a multiplication test for each level constructed based on the range of calculation strategies associated with multiplication. …”
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  7. 7
    Visualization of dengue incidences using expectation maximization (EM) algorithm

    Visualization of dengue incidences using expectation maximization (EM) algorithm by Mathur, N., Asirvadam, V.S., Dass, S.C., Gill, B.S.

    Published 2017
    “…Along with the prediction modeling on data using centroid model and distribution model based on K-means and Expectation Maximization (EM) algorithms respectively. …”
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  8. 8
    Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension

    Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension by Affandy

    Published 2015
    “…This model is then to be used in the prototype tool development that is called 3De-ALPROV (Design Development Debug – Algorithm Program Visualization). …”
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  9. 9
    Interpretation of machine learning model using medical record visual analytics

    Interpretation of machine learning model using medical record visual analytics by Mohd Khalid, Nur Hidayah, Ismail, Amelia Ritahani, Abdul Aziz, Normaziah

    Published 2021
    “…This paper analyzed several visual analytics ap- proach instantiated in machine learning algorithm for medical record analytics. …”
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    Proceeding Paper
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  10. 10
    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…A tool termed as VIGA-20 (Visualization of Genetic Algorithm using 2-0 Graph) is implemented to accomplish this goal. …”
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  11. 11
    Zest Based Visualization for Requirements Negotiation

    Zest Based Visualization for Requirements Negotiation by Alharthi, M., Salim, S.S.

    Published 2011
    “…Solving conflicts, however, is barely dependent on visualizing the negotiation itself The Zest algorithm was invented to visualize a standard e-mail discussion and demonstrate a concise overview of the discussion to facilitate a more productive one. …”
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  12. 12
    An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding

    An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding by Safa, Soodabeh, Khalid, Fatimah

    Published 2020
    “…This demonstrate the intensity of the correlation between that aspect of data and a specific cluster. In the classic Bag of visual words model, the Fuzzy c-means algorithm is replaced with K-means and the accuracy of SIFT matching is increased. …”
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  13. 13
    Thalassaemia detection using CBR Algorithm via mobile device

    Thalassaemia detection using CBR Algorithm via mobile device by Nur Faezah, Omar

    Published 2011
    “…CBR Algorithm is an algorithm that can solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation in a new situation.CBR is suit for solving the problem in Thalassaemia cases.The model is designed and prototype is developed to test the diagnosis accuracy of the model.T his application is focus on Beta Thalassaemia and Haemoglobin E Trait only.For platform, this application will be using the mobile device such as PDA. …”
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    Undergraduates Project Papers
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  14. 14
    Thalassaemia detection using CBR Algorithm via mobile device

    Thalassaemia detection using CBR Algorithm via mobile device by Nur Faezah, Omar

    Published 2011
    “…CBR Algorithm is an algorithm that can solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation in a new situation.CBR is suit for solving the problem in Thalassaemia cases.The model is designed and prototype is developed to test the diagnosis accuracy of the model.T his application is focus on Beta Thalassaemia and Haemoglobin E Trait only.For platform, this application will be using the mobile device such as PDA. …”
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    Undergraduates Project Papers
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  15. 15
    Interpretation of machine learning model using medical record visual analytics

    Interpretation of machine learning model using medical record visual analytics by Mohd Khalid, Nur Hidayah, Ismail, Amelia Ritahani, Abdul Aziz, Normaziah

    Published 2022
    “…This paper analyzed several visual analytics approaches instantiated in machine learning algorithm for medical record analytics. …”
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    Proceeding Paper
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  16. 16
    Design of Modeling Elements of Luoshan Shadow Puppets Creative Goods Based on Deep Learning

    Design of Modeling Elements of Luoshan Shadow Puppets Creative Goods Based on Deep Learning by Taotao, Xu, Musdi, Shanat, Brendan Chan, Kah Le, Wei, Zhang

    Published 2023
    “…Based on the design of modeling elements of Luoshan shadow puppets, this paper analyzes the characteristics of visual elements of shadow puppet creative goods, puts forward an intelligent design algorithm of shadow puppet creative goods based on DL, and explores the computer-aided shadow puppets modeling design strategy driven by artificial intelligence. …”
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    Proceeding
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  17. 17
    Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming

    Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P., Saad, N.B., Ibrahim, R.B., Dass, S.C.

    Published 2017
    “…The main contribution of the paper is to introduce a dynamic programming algorithm, which defines an optimal policy for solving the visual sensor coverage problem. …”
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  18. 18
    BMTutor research design: Malay sentence parse tree visualization

    BMTutor research design: Malay sentence parse tree visualization by Muhamad Noor, Yusnita, Jamaludin, Zulikha

    Published 2014
    “…As a result of the lack of models and algorithms have been introduced in both parsers, the model and algorithm development phase is introduced in the design of BMTutor.Output from the development process shows that the prototype is able to provide sentence correction for all 15 invalid sentences and can produce parse tree visualizations for all 20 sentences used for prototype testing.…”
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    Conference or Workshop Item
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  19. 19
    Survival versus non-survival prediction after acute coronary syndrome in Malaysian population using machine learning technique / Nanyonga Aziida

    Survival versus non-survival prediction after acute coronary syndrome in Malaysian population using machine learning technique / Nanyonga Aziida by Nanyonga , Aziida

    Published 2019
    “…Prediction, identification, understanding and visualization of relationship between factors affecting mortality in ACS patients using feature selection and ML algorithms. …”
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  20. 20
    Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu

    Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu by Yusnita, Muhamad Noor

    Published 2018
    “…The additional components namely sentence checking, sentence correction, syntax tree visualization (VPS) and word attribute are modelled into a package prior to translating them into a tangible output. …”
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