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  1. 1

    Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction by Alkawsi G., Al-amri R., Baashar Y., Ghorashi S., Alabdulkreem E., Kiong Tiong S.

    Published 2024
    “…Lately, a fully online buffer-based clustering algorithm for handling evolving data streams (BOCEDS) was developed. …”
    Article
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    Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model by Raja Wahab, Raja Azhan Syah

    Published 2024
    “…The algorithm development combines the frameworks from Phases 1 to 3, evaluating real and synthetic datasets. …”
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    Thesis
  3. 3

    Using streaming data algorithm for intrusion detection on the vehicular controller area network by Sharmin, Shaila, Mansor, Hafizah, Abdul Kadir, Andi Fitriah, Abdul Aziz, Normaziah

    Published 2022
    “…In this paper, the adapted streaming data Isolation Forest (iForestASD) algorithm has been applied to CAN intrusion detection. …”
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    Proceeding Paper
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    Sensing texture using an artificial finger and a data analysis based on the standard deviation by Chappell, Paul H., Muridan, Norasmahan, Mohamad Hanif, Nik Hazrin, Cranny, Andy, White, Neil M.

    Published 2015
    “…For the automatic control of an artificial hand and to feedback information to the amputee, an algorithm has been developed based on the standard deviation (SD) of signal data from the sensor. …”
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    Article
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    Comparison of malware detection model using supervised machine learning algorithms / Syamir Mohd Shahirudin by Mohd Shahirudin, Syamir

    Published 2022
    “…The Windows malware dataset has been trained and tested by these three machine learning algorithms to get the percentage detection accuracy. …”
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    Student Project
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    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty by Liu, Lihua

    Published 2024
    “…Given the NP-Hard nature of the three models proposed in this thesis, two metaheuristic algorithms have been developed. A hybrid Particle Swarm Optimization-Bacterial Foraging Algorithm is developed for solving the single objective LIRP model. …”
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    Thesis
  8. 8

    The enhancement of mammographic images of breast cancer using median filtering (software development ) / Noor Saedah Selamat by Selamat, Noor Saedah

    Published 1996
    “…These algorithm are written in C code using BORLAND C++ in Windows environment , improvise the poor image to become a clear image using enhancement techniques. …”
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    Thesis
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    Near Real Time Processing of NOAA AVHRR Satellite Data by Hassan, Quazi Khalid

    Published 1998
    “…For geocoding of the images an orbital model has been used followed by Earth location determination algorithms. Different models have been implemented based on radiative transfer equations for extracting sea surface temperature fro m satellite data, namely single channel, split-window, spatiotemporal split-window technique and multichannel sea surface temperature. …”
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    Thesis
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    Analyzing land surface temperature in response to massive urbanization by using single window algorithm in Penang Island / Ainna Naeemah Zainal Abidin by Zainal Abidin, Ainna Naeemah

    Published 2019
    “…Next will be the extraction of Land Surface Temperature (LST) by using Spectral Radiance Model and Single Window Algorithm through the satellite imagery. Last objectives will be the analysis on the relationship between the dependent and independent variables that be made through the correlation coefficient analysis. …”
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    Thesis
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    Ciphercrypt-an Encryption System / Nor Hidayah Ngah by Nor Hidayah, Ngah

    Published 2004
    “…This system is implemented on a Windows platform with Visual Basic as a programming language and 3-DES as a main encryption algorithm. …”
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    Thesis
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    Improving collection of data type evidence and the integrity of evidence collected using SHA-256 hashing algorithm for web browsers by Asmawi, Aziah, Md Yasin, Sharifah, Mohd Shah, Nur Hazierah

    Published 2024
    “…Data is collected from 4 most popular web browsers, Google Chrome, Mozilla Firefox, Microsoft Edge, and Opera in the Windows 11 environment in the context of evidence collection, emphasizing the significance of 35 data types such as history visits, history search, search keyword, cookies, cache, file, session, bookmarks, downloaded files and many more in digital forensic investigations. …”
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    Article
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    WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10 by Rayman, Dafiqah Mior, Asmawi, Aziah, Mohd Ariffin, Noor Afiza

    Published 2022
    “…The amount of data type evidence collections and security measures to secure the integrity of evidence collected are measured by evaluating available tools, developing a proof-of-concept toolkit, and comparingfunctioning tools. …”
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    Article
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    MUD-WEIGHT PREDICTION FOR DEVIATED DRILLING by Yusoff, Muhamad Zakwan

    Published 2013
    “…Specifically, the objectives of this project are 1) to develop an algorithm for predicting mud weight in deviated drilling; 2) to solve the governing equation for stresses around the wellbore for deviated drilling and 3) to build an integrated tool kit for different data that are available on the field. …”
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    Final Year Project
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    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani by Ab Ghani, Nur Laila

    Published 2015
    “…Urban growth classification categorized cities development according to its expansion forms. The forms of urban growth can be simulated using satellite remote sensing data and suitable classification technique. …”
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    Thesis
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    Simulation of Empty Container Logistic Management at Depot by Sze, San Nah, Sek, Siaw Ying Doreen, Chiew, Kangleng, Tiong, W.K

    Published 2017
    “…Then, the feasible route with the minimum cost will be determined by applying the proposed heuristic algorithm. The heuristic algorithm can be divided into three main phases which are data sorting, data assigning and time window updating.…”
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    Article
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    The impact of news sentiment on the stock market fluctuation : the case of selected energy sector by Ling, Wu, Siew, Hock Ow

    Published 2021
    “…We developed a financial news sentiment classifier by combining machine learning algorithms and lexicon-based labelling methods. …”
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    Article