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  1. 1
    Accuracy assessment of Digital Terrain Model (DTM) Constructed Cloth Simulation Filter (CSF) and Multi Curvature Classification (MCC) algorithm on UAV LiDAR dataset / Mohamad Khairan Mohd Asri

    Accuracy assessment of Digital Terrain Model (DTM) Constructed Cloth Simulation Filter (CSF) and Multi Curvature Classification (MCC) algorithm on UAV LiDAR dataset / Mohamad Khair... by Mohd Asri, Mohamad Khairan

    Published 2023
    “…However, challenges arise in processing airborne laser scanning point clouds to generate DTMs, particularly when dealing with different land cover types and slopes. This study aims to evaluate the effectiveness of open-source software algorithms for ground classification in lidar point clouds and the subsequent generation of accurate DTMs. …”
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    Student Project
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  2. 2
    Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm

    Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm by Noor Azam, Muhammad Harith, Ridzuan, Farida, Mohd Sayuti, M Norazizi Sham

    Published 2023
    “…In conclusion, the method optimised the cover audio selected, thus, improving the effectiveness of the audio steganography used. …”
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  3. 3
    Enhancement Of Cover Selection – Based Audio Steganography (CAS) Using Block-Based Chaotic Multi – Level Lsb (BCM– LSB) For Balanced Performance

    Enhancement Of Cover Selection – Based Audio Steganography (CAS) Using Block-Based Chaotic Multi – Level Lsb (BCM– LSB) For Balanced Performance by Muhammad Harith bin Noor Azam

    Published 2024
    thesis::doctoral thesis
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  4. 4
    Approximate maximum clique algorithm (AMCA): A clever technique for solving the maximum clique problem through near optimal algorithm for minimum vertex cover problem

    Approximate maximum clique algorithm (AMCA): A clever technique for solving the maximum clique problem through near optimal algorithm for minimum vertex cover problem by Fayaz, Muhammad, Arshad,, Shakeel, Shah,, Abdul Salam, Shah, Asadullah

    Published 2018
    “…Material and methods: To test the proposed technique, selected approximation algorithms have been developed to small graph instances. …”
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  5. 5
    A Systematic Review on Cover Selection Methods For Steganography: Trend Analysis, Novel Classification and Analysis of the Elements

    A Systematic Review on Cover Selection Methods For Steganography: Trend Analysis, Novel Classification and Analysis of the Elements by Muhammad Harith Noor Azam, Farida Hazwani Mohd Ridzuan, M. Norazizi Sham Mohd Sayuti, A H Azni, Nur Hafiza Zakaria, Vidyasagar Potdar

    Published 2026
    journal::journal article
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  6. 6
    Improving multi-criteria decision making algorithm for material selection

    Improving multi-criteria decision making algorithm for material selection by Jahan, Ali

    Published 2011
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    Thesis
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  7. 7
    Multi-base number representation in application to scalar multiplication and pairing computation

    Multi-base number representation in application to scalar multiplication and pairing computation by Mohammed Ismail, Abdelwahed

    Published 2011
    “…Multi-bases number representation is used to construct new versions of Miller’s algorithm. …”
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    Thesis
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  8. 8
    Parameter estimation of cocomo model using the jaya algorithm for software cost estimation

    Parameter estimation of cocomo model using the jaya algorithm for software cost estimation by Tan, Jie Chee

    Published 2019
    “…To date, many techniques have been proposed to help the software engineer determine the actual software cost. This thesis proposed the Jaya algorithm based on estimation of the software based on the COCOMO I model. …”
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    Undergraduates Project Papers
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  9. 9
    On the Computational Cost of Cocks’ Identity Based Encryption

    On the Computational Cost of Cocks’ Identity Based Encryption by Moo, Gabriel Ka Lin, Arif Mandangan, Rozaimi Zakaria

    Published 2018
    “…The first Identity Based Encryption scheme was constructed in 2001 based on elliptic curves and with pairings. …”
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  10. 10
    Model structure selection for a discrete-time non-linear system using genetic algorithm

    Model structure selection for a discrete-time non-linear system using genetic algorithm by Ahmad, Robiah, Jamaluddin , Hishamuddin, Hussain, Mohd. Azlan

    Published 2004
    “…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
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  11. 11
    Modified artificial neural network (ANN) models for Malaysian construction costs indices (MCCI) data / Saadi Ahmad Kamaruddin

    Modified artificial neural network (ANN) models for Malaysian construction costs indices (MCCI) data / Saadi Ahmad Kamaruddin by Ahmad Kamaruddin, Saadi

    Published 2018
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  12. 12
    Model structure selection for a discrete-time non-linear system using a genetic algorithm

    Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, M. A.

    Published 2004
    “…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
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  13. 13
    Model structure selection for a discrete-time non-linear system using a genetic algorithm

    Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, M. A.

    Published 2004
    “…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
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  14. 14
    Regression test case selection & prioritization using dependence graph and genetic algorithm

    Regression test case selection & prioritization using dependence graph and genetic algorithm by Musa, Samaila, Md Sultan, Abu Bakar, Abd Ghani, Abdul Azim, Baharom, Salmi

    Published 2014
    “…It was shown that our approach needs 30% of the test cases to cover all the faults, while 80% is needed to cover all the faults using retest-all, which is time consuming and costly.…”
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  15. 15
    Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi

    Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi by Atefi, Kayvan

    Published 2019
    “…Experiments demonstrate and prove that the proposed EBPSO method produces better accuracy mining data and selecting subset of relevant features comparing other algorithms. …”
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  16. 16
    Integrated applications of building information modeling in project cost management: a systematic review

    Integrated applications of building information modeling in project cost management: a systematic review by M. Farouk, Abdelrahman, Rahimi, A. Rahman

    Published 2023
    “…On the contrary, integrated approaches for cost estimation include integration with cost-plus pricing, discrepancy analysis, construction progress curves, estimation standards, algorithms, declarative mappings, life cycle sustainability assessment, ontology, Web-based frameworks and structured query language. …”
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  17. 17
    Imputing incomplete software metric database using iterative nearest neighbour based algorithm

    Imputing incomplete software metric database using iterative nearest neighbour based algorithm by Wasito, Ito, Ab. Azid, Nurul Farihan

    Published 2008
    “…Data sets are playing an important role not only for the construction of effort precision model but also in building software cost estimation models. …”
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  18. 18
    Enhanced cell-based algorithm with dynamic radius in solving capacitated multi-source weber problem

    Enhanced cell-based algorithm with dynamic radius in solving capacitated multi-source weber problem by Nurhazwani, Ahmad Razak

    Published 2021
    “…This research finds the location of facilities in a continuous space to meet the demand of customers which minimize the total cost using Enhanced Cell-based Algorithm (ECBA). …”
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  19. 19
    Delay and cost overrun of palm oil refinery construction projects: Artificial neural network (ann) model

    Delay and cost overrun of palm oil refinery construction projects: Artificial neural network (ann) model by Abdullah, M.S., Alaloul, W.S., Liew, M.S., Musarat, M.A.

    Published 2021
    “…The prediction model consists of the most impactful causes of delays and costs overruns during the construction of Palm Oil Refinery projects which were ranked based on importance, severity and frequency. …”
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  20. 20
    Cooperative Coalition Formation on Value-based Decision

    Cooperative Coalition Formation on Value-based Decision by Idrus, Arazi, Utomo, Christiono

    Published 2010
    “…The objective of the research is to find an agreement options model and coalition algorithms for value-based decision. This objective was attained by model of satisfying game as a basis for two main preferences of value which are function and cost and provide a set of analysis on cooperative game theory to get an algorithm of coalition and the coalition formation for agreement option.…”
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