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  1. 1
    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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  2. 2
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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  3. 3
    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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  4. 4
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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  5. 5
    Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm

    Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm by Abdul Haris, Faranadia

    Published 2021
    “…A total of 206 negative lightning return strokes waveforms were analysed and automatically characterised using the proposed algorithm. …”
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  6. 6
    Automated path testing using the negative selection algorithm

    Automated path testing using the negative selection algorithm by Shayma Mustafa Mohi-Aldeen, Radziah Mohamad, Safaai Deris

    Published 2017
    “…The proposed algorithm has been applied to the most commonly used benchmarking program which is triangle classifier. …”
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  7. 7
    Swarm negative selection algorithm for electroencephalogram signals classification

    Swarm negative selection algorithm for electroencephalogram signals classification by Sahel Ba-Karait, Nasser Omer, Shamsuddin, Siti Mariyam, Sudirman, Rubita

    Published 2009
    “…The SNS classification model use negative selection and PSO algorithms to form a set of memory Artificial Lymphocytes (ALCs) that have the ability to distinguish between normal and epileptic EEG patterns. …”
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  8. 8
    Automated negative lightning return strokes characterization using brute-force search algorithm

    Automated negative lightning return strokes characterization using brute-force search algorithm by Abdul Haris, Faranadia, Ab. Kadir, Mohd Zainal Abidin, Sudin, Sukhairi, Jasni, Jasronita, Johari, Dalina, Zaini, Nur Hazirah

    Published 2022
    “…Hence, this study proposed the development of an automated negative lightning return strokes characterization using a brute-force search algorithm. …”
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  9. 9
    Automated negative lightning return strokes characterization using brute-force search algorithm

    Automated negative lightning return strokes characterization using brute-force search algorithm by Abdul Haris, Faranadia, Ab. Kadir, Mohd Zainal Abidin, Sudin, Sukhairi, Jasni, Jasronita, Johari, Dalina, Zaini, Nur Hazirah

    Published 2022
    “…Hence, this study proposed the development of an automated negative lightning return strokes characterization using a brute-force search algorithm. …”
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  10. 10
    Missing tags detection algorithm for radio frequency identification (RFID) data stream

    Missing tags detection algorithm for radio frequency identification (RFID) data stream by Zainudin, Nur 'Aifaa

    Published 2019
    “…Meanwhile, DFR algorithm was used to identify the false negative read that present in the set of data. …”
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  11. 11
    Automated Negative Lightning Return Strokes Characterization Using Brute-Force Search Algorithm

    Automated Negative Lightning Return Strokes Characterization Using Brute-Force Search Algorithm by Faranadia Abdul Haris, Mohd Zainal Abidin Ab. Kadir, Sukhairi Sudin, Jasronita Jasni, Dalina Johari, Nur Hazirah Zaini

    Published 2024
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  12. 12
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…Thus, there is a need to automate the process of identifying and predicting (positive, negative, or neutral class) these cyber-trooping data. …”
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  13. 13
    Sentiment analysis using negative selection algorithm for Twitter’s messages / Nazirah Che Alhadi

    Sentiment analysis using negative selection algorithm for Twitter’s messages / Nazirah Che Alhadi by Che Alhadi, Nazirah

    Published 2012
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  14. 14
    Academic leadership bio-inspired classification model using negative selection algorithm

    Academic leadership bio-inspired classification model using negative selection algorithm by Jantan, Hamidah, Sa’dan, Siti ‘Aisyah, Che Azemi, Nur Hamizah Syafiqah

    Published 2015
    “…Negative selection algorithm has been successfully used in several purposes such as in fault detection, data integrity protection, virus detection and etc.due to the unique ability in self-recognition by classifying self or non-self’s detectors. …”
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  15. 15
    Diabetes prediction system using clonal selection algorithm / Nor Aishah Mustapa

    Diabetes prediction system using clonal selection algorithm / Nor Aishah Mustapa by Mustapa, Nor Aishah

    Published 2012
    “…There are many techniques that can be used to make prediction process but the technique that has been selected to be used for this system is Artificial Immune System. …”
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  16. 16
    Sentiment analysis of hotel reviews using Convolutional Neural Network / Sofea Aini Mohd Sufian

    Sentiment analysis of hotel reviews using Convolutional Neural Network / Sofea Aini Mohd Sufian by Mohd Sufian, Sofea Aini

    Published 2021
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  17. 17
    Optimization of yeast fermentation process using genetic algorithm

    Optimization of yeast fermentation process using genetic algorithm by Sin, Helen Ee Chuo, Yuh, Christine King Lo, Min, Keng Tan, Heng Jin Tham, Jin Tham, Sivakumar Kumaresan, Tze, Kenneth Kin Teo

    Published 2021
    “…This paper proposes genetic algorithm (GA) to optimize the productivity of yeast fermentation process. …”
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  18. 18
    Breast cancer diagnosis through an optimization-driven multispectral gamma correction (ODMGC)

    Breast cancer diagnosis through an optimization-driven multispectral gamma correction (ODMGC) by Raj A, Arul Edwin, Ahmad, Nabihah, Durai S, Ananiah

    Published 2024
    “…This algorithm enhances the accuracy of true positives and true negatives while minimising false negatives and false positives. …”
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  19. 19
    An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection

    An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection by Ayodele Nojeem, Lasisi

    Published 2018
    “…Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. …”
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  20. 20
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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