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  1. 1
    Delineating mangrove forest zone using spectral reflectance

    Delineating mangrove forest zone using spectral reflectance by Abdul Whab @ Abdul Wahab,, Zulfa

    Published 2020
    “…Species identification with spectral library derived from in-situ measurements using SID algorithm and derived from Landsat 8 using SAM algorithm was done. …”
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  2. 2
    A proactive energy awareness traffic routing for wireless sensor networks against energy sink-holes

    A proactive energy awareness traffic routing for wireless sensor networks against energy sink-holes by Mustafa, Mayada Salih Abdalla

    Published 2019
    “…This is adopted in the proposed balanced energy-hole prevention method in tree topology (EBEHA-T) with a single sink. Next, the problem of large variations in energy consumptions with multiple sinks in merging tree-based multiple energy hole alleviation algorithm (MEHA-MT) is addressed. …”
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  3. 3
    Investigation Of Electrical Capacitance Tomography For Agarwood Detection

    Investigation Of Electrical Capacitance Tomography For Agarwood Detection by Muhamad Aiqil, Sarudin

    Published 2022
    “…The project aims to investigate the possibility of non-invasive method using electrical capacitance tomography for monitoring the quantity of agarwood in a tree. …”
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    Undergraduates Project Papers
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  4. 4
    Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm

    Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm by Norazli @ Norizan, Nursyafinas

    Published 2022
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    Final Year Project
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  5. 5
    Species distribution and molecular variations in drogonflies (order: odonata) within the state of Selangor, Malaysia / Noorhidayah Binti Mamat

    Species distribution and molecular variations in drogonflies (order: odonata) within the state of Selangor, Malaysia / Noorhidayah Binti Mamat by Noorhidayah, Mamat

    Published 2013
    “…The phylogenetic trees were constructed from 40 samples using the neighbor joining (NJ) and maximum parsimony (MP) algorithms which were implemented by MEGA 4.0.2. …”
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  6. 6
    Initial study of electrical capacitance tomography for detecting agarwood

    Initial study of electrical capacitance tomography for detecting agarwood by Muhammad Aiqil, Sarudin, Yasmin, Abdul Wahab, Ain Eazriena, Che Man, Nurhafizah, Abu Talip @ Yusof, Rohana, Abdul Karim, Suzanna, Ridzuan Aw, Juliza, Jamaludin, Jaysuman, Puspanathan, Elmy Johana, Mohamed, Ruzairi, Abdul Rahim, Sia, Yee Yu

    Published 2023
    “…The forward problem was solved using COMSOL, and tomogram images were obtained using a linear back-projection algorithm in MATLAB. …”
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  7. 7
    Characterization and pathogenicity of Rhizoctonia spp isolated from various crop species in different agroecosystems in Malaysia

    Characterization and pathogenicity of Rhizoctonia spp isolated from various crop species in different agroecosystems in Malaysia by Rashed, Osamah Zaid Ali

    Published 2017
    “…Two isolates were identified as binucleate Rhizoctonia AG-Fa and AG-A. Phylogenetic analysis using different algorithms separated Rhizoctonia spp. to the distinct clades. …”
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  8. 8
    Optimizing Tree-Based Contrast Subspace Mining Using Genetic Algorithm

    Optimizing Tree-Based Contrast Subspace Mining Using Genetic Algorithm by Sia, Florence Fui Sze, Rayner Alfred

    Published 2022
    “…The experiment results showed that the proposed method performed well on several cases compared to the variation of the tree-based method.…”
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  9. 9
    Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network

    Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network by Asman, Saidatul Habsah, Ab Aziz, Nur Fadilah, Ungku Amirulddin Al Amin, Ungku Anisa, Ab Kadir, Mohd Zainal Abidin

    Published 2021
    “…The proposed algorithm is based upon the root mean square (RMS) current duration, voltage dip, and discrete wavelet transform (DWT) measured at the sending end of a line and the decision tree method, a commonly accessible measurable method. …”
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  10. 10
    Decision tree-based approach for online management of PEM fuel cells for residential application

    Decision tree-based approach for online management of PEM fuel cells for residential application by Mohd Rusllim, Mohamed

    Published 2004
    “…In this research, a Decision Tree (DT) algorithm is employed to obtain the optimal, or quasioptimal, settings of the fuel cell online and in a general framework. …”
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  11. 11
    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant

    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant by Morshidi, Malik Arman

    Published 2007
    “…Another structure of MLP trained using backpropagation algorithm is used to detect and locate the base of the young corn tree using the skeleton of the segmented image. …”
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  12. 12
    Decision tree method for fault causes classification based on rms-dwt analysis in 275 kv transmission lines network

    Decision tree method for fault causes classification based on rms-dwt analysis in 275 kv transmission lines network by Asman S.H., Aziz N.F.A., Amirulddin U.A.U., Kadir M.Z.A.A.

    Published 2023
    “…The proposed algorithm is based upon the root mean square (RMS) current duration, voltage dip, and discrete wavelet transform (DWT) measured at the sending end of a line and the decision tree method, a commonly accessible measurable method. …”
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  13. 13
    Three dimension reconstruction of coronary artery tree using single-view cineangiogram

    Three dimension reconstruction of coronary artery tree using single-view cineangiogram by Khaleel, Hasan Hadi, O. K. Rahmat, Rahmita Wirza, Dimon, Mohd Zamrin, Mahmod, Ramlan, Mustapha, Norwati

    Published 2010
    “…Results: Experimental evaluation has been done to clinical raw data sets where the experimental results revealed that the proposed algorithm has a robust 3D output. Conclusion: Results showed that our proposed algorithm has high robustness for a variety of image resolutions and voxel anisotropy.…”
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  14. 14
    Decision tree-based approach for online management of pem fuel cells for residential application

    Decision tree-based approach for online management of pem fuel cells for residential application by Mohamed, Mohd Rusllim

    Published 2004
    “…In this research, a Decision Tree (DT) algorithm was employed to obtain the optimal, or quasi-optimal, settings of the fuel cell online and in a general framework. …”
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  15. 15
    An efficient scalable batch-rekeying scheme for secure multicast communication using multiple logical key trees

    An efficient scalable batch-rekeying scheme for secure multicast communication using multiple logical key trees by Zakaria, Omar, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina

    Published 2014
    “…In this paper, a new scheme based on multiple key trees is proposed. Instead of using only a single key tree multiple key trees are used and at the end of each batch time the algorithm decides which tree will be used to update the keys. …”
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  16. 16
    Fuzzy Systems and Bat Algorithm for Exergy Modeling in a Gas Turbine Generator

    Fuzzy Systems and Bat Algorithm for Exergy Modeling in a Gas Turbine Generator by Alemu Lemma, Tamiru, Mohd Hashim, Fakhruldin

    Published 2011
    “…The fuzzy models are trained applying locally linear model tree algorithm followed by a meta-heuristic nature inspired algorithm called bat algorithm. …”
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  17. 17
    A comparative analysis of four classification algorithms for university students performance detection

    A comparative analysis of four classification algorithms for university students performance detection by Dipta, Das, Asif Khan, Shakir, Sah Golam, Rabbani, Mostafijur, Rahman, Syamimi Mardiah, Shaharum, Sabira, Khatun, Norasyikin, Fadilah, Khandker, M. Qaiduzzaman, Md. Shariful, Islam, Md. Shohel, Arman

    Published 2019
    “…And showing the comparison of feature selections result through decision tree, Naive Bayes, K-nearest neighbor and Artificial Neural Network classifiers algorithm. …”
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  18. 18
    A minimum spanning tree stock market analysis of Malaysia technology companies

    A minimum spanning tree stock market analysis of Malaysia technology companies by Zulrushdi, Puteri Nur Qistina Megat, Bahaludin, Hafizah, Ibrahim, Siti Nur Iqmal

    Published 2024
    “…The collected data is the daily closing prices of Malaysia’s top 20 most active companies based on the volume traded in the list of technology companies. The minimum spanning tree was used to construct the network via Kruskal’s algorithm, and the centrality measures of the stocks, such as degree, betweenness, closeness, and eigenvector, were measured to identify influential stocks. …”
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  19. 19
    Expression invariant face recognition using multi-stage 3D face fitting with 3D morphable face model

    Expression invariant face recognition using multi-stage 3D face fitting with 3D morphable face model by Alomari, Abdallah A., Khalid, Fatimah, O. K. Rahmat, Rahmita Wirza, Abdullah, Muhamad Taufik

    Published 2010
    “…Feature extraction will be done using active appearance model while the feature classification will be done using the tree model to insure a good processing speed. This proposed model will show good results when shape, texture and extrinsic variations occur in the 3D domain since the combination of multistage fitting algorithm and tree model can enhance the speed and accuracy of the system recognition capabilities. …”
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  20. 20
    A minimum spanning tree stock market analysis of Malaysia technology companies

    A minimum spanning tree stock market analysis of Malaysia technology companies by Puteri Nur Qistina Megat Zulrushdi, Hafizah Bahaludin, Siti Nur Iqmal Ibrahim

    Published 2024
    “…The collected data is the daily closing prices of Malaysia’s top 20 most active companies based on the volume traded in the list of technology companies. The minimum spanning tree was used to construct the network via Kruskal’s algorithm, and the centrality measures of the stocks, such as degree, betweenness, closeness, and eigenvector, were measured to identify influential stocks. …”
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