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    Location-based Solar Energy Potential Prediction Algorithm for Mountainous Rural Landscapes by Onabajo, Olawale Olusegun, Tan, Chong Eng

    Published 2013
    “…Location-based Solar Energy Potential Prediction Algorithm (LOSEPPA) takes as input, the geographic latitude and longitude of the location of interest to compute the Solar Irradiance Factor (SIF). …”
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    Article
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    Optimizing the travel distance between mosque and muslim affair activities using Delaunay Triangulation / Siti Nor Dalila Shamsul Bahar by Shamsul Bahar, Siti Nor Dalila

    Published 2019
    “…In this study, incremental algorithms of Delaunay triangulation are form based on the location of the mosques in Perlis. …”
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    Thesis
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    Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari by Satari, Siti Zanariah

    Published 2015
    “…Here, we introduce a measure of similarity based on the circular distance and obtain a cluster tree using the single linkage clustering algorithm. …”
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    Thesis
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    Malaysia solar energy experience: intelligent fault location algorithm for unbalanced radial distribution network including PV systems by Farzan, Payam, Izadi, Mahdi, Gomes, Chandima, Hesamian, Mohammad Hesam

    Published 2016
    “…This paper presents a novel fault location algorithm based on the recording of short circuit power values at the primary substation of unbalanced radial distribution networks including PV systems. …”
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    Article
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    Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement by Mahadi, Lina Farhana, Ibrahim, Nabilah, Zaluwi, Mohd Thariq, S.M Johan, Muhammad Haniff

    Published 2019
    “…This paper provides the explanation of the concepts of point tracking technique to be implemented in mitral valve locating in video frames. Object tracking has been used for many applications in motion-based recognition and monitoring. …”
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    Article
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    Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment by Farid, Mazen, Latip, Rohaya, Hussin, Masnida, Abdul Hamid, Nor Asilah Wati

    Published 2020
    “…The coding scheme jointly considers task execution location and data transportation order. Simulation experiments reveal that FR-MOS outperforms the basic MOS over the PSO algorithm.…”
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    Article
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    Performance evaluation on mitral valve motion feature tracking using Kanade-Lucas- Tomasi (KLT) algorithm based eigenvalue measurement by Mahadi, Lina Farhana, Ibrahim, Nabilah, Zaluwi, Mohd Thariq, S.M Johan, Muhammad Haniff

    Published 2019
    “…This paper provides the explanation of the concepts of point tracking technique to be implemented in mitral valve locating in video frames. Object tracking has been used for many applications in motion-based recognition and monitoring. …”
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    Article
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    Machine-learning guided fracture density seismic inversion: A new approach in fractured basement characterisation by Shamsuddin, A.A.S., Purnomo, E.W., Ghosh, D.P.

    Published 2020
    “…These fractures were quantified as fracture density log (FDL) based on weight density fractures per meter. The inversion was performed based on the enhanced of Extended Elastic Impedance (EEI) with the FDL. …”
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    Conference or Workshop Item
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    Hybrid LTE-VANETs Based Optimal Radio Access Selection by Ayoob, Ayoob A., Su, Gang, Wang, Desheng, Mohammed, Muamer N., Hammood, Omar A.

    Published 2018
    “…The proposed algorithm is the multi-hop-routing-protocol-based IEEE 802.11p/LTE hybrid architecture. …”
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    Book Chapter
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    Application Of Neural Network In Malaria Parasites Classification by Lim, Chia Li

    Published 2006
    “…The purpose of this project is to classify malaria parasites into Plasmodium falciparum, Plasmodium vivax and Plasmodium malariae based on ratio of infected red blood cell’s (RBC) size to normal RBC’s size, shape of parasite, location of chromatin, number of chromatin, texture of infected RBC, and number of parasite per RBC using different types of neural network. …”
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    Monograph
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