Search Results - (( information visualization system algorithm ) OR ( program implementation learning algorithm ))

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  1. 1

    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun by Kok , Sun Sun

    Published 2000
    “…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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    Thesis
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    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

    Published 2019
    “…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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    Thesis
  4. 4

    Virtual reality in algorithm programming course: practicality and implications for college students by Dewi, Ika Parma, Ambiyar, Mursyida, Lativa, Effendi, Hansi, Giatman, Muhammad, Efrizon, Hanafi, Hafizul Fahri, Ali, Siti Khadijah

    Published 2024
    “…The analysis of learning problems shows the unavailability of interactive learning media that can support various learning styles of students in programming algorithm materials. …”
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    Article
  5. 5

    E-Hadith DV: Hadith scriptures in Syafie Madhhab retrieval using data visualization / Nor Faezahtul Salme Norhisam by Norhisam, Nor Faezahtul Salme

    Published 2020
    “…Therefore, a progressive web-based information retrieval visualization system that utilizes Term Frequency-Inverse Document Frequency (TFIDF) algorithm and data visualization are suggested to solve these problems. …”
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    Restaurant review system with data visualization and text search using TF-IDF algorithm / Syazwina Abd Hamid by Abd Hamid, Syazwina

    Published 2020
    “…Visualizations used in the system are circular bar plot, word cloud and bar chart where each visualization conveys different purpose. …”
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    Thesis
  9. 9

    A new domain specific scripting language for automated machine learning pipeline by Masrom, S., Rahman, A.S.A., Omar, N., Baharun, N.

    Published 2019
    “…However, in respond to the implementation difficulty, there exists a limited software tool that support easy implementation for automated machine learning based on Genetic Programming. …”
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    Article
  10. 10

    Rapid software framework for the implementation of machine learning classification models by Rahman, A.S.A., Masrom, S., Rahman, R.A., Ibrahim, R.

    Published 2021
    “…However, to implement a complete machine learning model involves some technical hurdles such as the steep learning curve, the abundance of the programming skills, the complexities of hyper-parameters, and the lack of user friendly platform to be used for the implementation. …”
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    Article
  11. 11

    The development of spatio-temporal data model for dynamic visualization of virtual geographical information system by Mohd. Rahim, Mohd. Shafry, Daman, Daut

    Published 2006
    “…Virtual Geographical Information Systems (VGIS) is known to be one of the technologies used to improve the presentation of geographic visualization. …”
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    Monograph
  12. 12

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

    Published 2017
    “…The aim of this study was to use the geographical information system (GIS) to visualize the dengue incidences on a weekly basis in Selangor, Malaysia. …”
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    Article
  13. 13

    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

    Published 2008
    “…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
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    Thesis
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    The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment by Nanna Suryana, Herman

    Published 2007
    “…However, hyperspectral image systems produce large data sets that are not easily interpretable by visual analysis and therefore require automated processing algorithm. …”
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    Conference or Workshop Item
  16. 16

    BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM by HASSAN AL-ABSI, HAMADA RASHEED

    Published 2010
    “…Another mechanism of information processing in the cortex is called the feedback mechanism, where the information from the top areas in the visual system is communicated to the lower areas in a feedback manner; this mechanism has also been mapped into computational models. …”
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  17. 17

    Development of visual odometry based machinery motion assessment system / Low Shee Teng by Low, Shee Teng

    Published 2022
    “…Digital image analysis, video analysis, and other visual inputs are all examples of CV, which is a branch of artificial intelligence (AI) that empowers computers or systems to obtain significant information from digital images, videos, as well as other visual inputs and to take actions or make recommendations based on this information. …”
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    A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM by Hamada , R. H. Al-Absi, Azween, Abdullah

    Published 2010
    “…Another mechanism of information processing in the cortex is called the feedback mechanism, where the information from the top areas in the visual system is communicated to the lower areas in a feedback manner; this mechanism has also been mapped into computational models. …”
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    Thesis
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    Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network by Kang, Miew How

    Published 2016
    “…First proposed algorithm is the combination of momentum algorithm with adaptive learning rate (ALR) algorithm, and second proposed algorithm is the combination of momentum algorithm with automatic learning rate selection (ALRS) algorithm. …”
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    Thesis
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    Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

    Published 2004
    “…The classification accuracy obtained from the CST method is compared to other selected classification methods such as Value Difference Metric (VDM), Pre-Category Feature Importance (PCF), Cross-Category Feature Importance (CCF), Instance-Based Algorithm (IB4), Decision Tree Algorithms such as Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5), Rough Set methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) and Neural Network methods such as the Multilayer method.…”
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    Thesis