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  1. 1
    Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment

    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
    “…In this respect, this paper proposes a new multi-objective scheduling algorithm with Fuzzy resource utilization (FR-MOS) for scheduling scientific workflow based on particle swarm optimization (PSO) method. …”
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  2. 2
    A preemptive utility accrual scheduling algorithm in adaptive real time system.

    A preemptive utility accrual scheduling algorithm in adaptive real time system. by Ahmad, Idawaty, Subramaniam, Shamala, Othman, Mohamed, Othman, Muhammad Fauzan

    Published 2008
    “…In this paper, we propose a preemptive utility accrual scheduling(or PUAS) algorithm as an enhancement to General Utility Scheduling ( or GUS) algorithm proposed by Peng Li [1]. …”
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  3. 3
    Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling

    Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling by Anuar, Nurul Izah

    Published 2022
    “…Many real-world production scheduling problems involve the simultaneous optimization of multiple conflicting objectives that are challenging to solve without the aid of powerful optimization techniques. …”
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  4. 4
    UiTM Transportation Unit bus trip scheduling system / Noorzawanah Ab Rahim

    UiTM Transportation Unit bus trip scheduling system / Noorzawanah Ab Rahim by Ab Rahim, Noorzawanah

    Published 2009
    “…Other than that, generated scheduling manually will cost a lot of time. The objective is to generate a prototype bus trip scheduling system that can schedule the bus trips transportation efficiently. …”
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  5. 5
    Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches

    Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches by Mohd Pauzi, Nur Fazlinda

    Published 2015
    “…The main objective of this research is to develop a computer program with capability of manipulating the onlooker bee approaches in ABC Algorithm for solving flowshop scheduling problem. …”
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  6. 6
    Bottleneck adjacent matching heuristics for scheduling a re-entrant flow shop with dominant machine problem

    Bottleneck adjacent matching heuristics for scheduling a re-entrant flow shop with dominant machine problem by Sh Ahmad, Sh Salleh

    Published 2009
    “…As a general conclusion, this research has achieved the objectives to develop bottleneck-based makespan algorithms and heuristics applicable for re-entrant flow shop environment. …”
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  7. 7
    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End

    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan Yin Keong, Tan Yin

    Published 2012
    “…The second part is on the scheduling of crude oil operations at a refinery front-end. …”
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  8. 8
    Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman

    Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman by Ab Rahman, Muhammad Aqil

    Published 2014
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  9. 9
    Edge Detection Algorithm For Image Processing Of Search And Rescue Robot

    Edge Detection Algorithm For Image Processing Of Search And Rescue Robot by A/L Sivem, Prasanthran

    Published 2016
    “…This paper highlights the various edge detection algorithms working method and comparison is made based on the advantages and disadvantages of the algorithms for the identification of an optimum edge detection algorithm. …”
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  10. 10
    Multi road marking detection system for autonomous car using hybrid- based method

    Multi road marking detection system for autonomous car using hybrid- based method by Shah, Khan Bahadur

    Published 2018
    “…One of the embedded systems that received great attention is road detection system, that operates using road markings detection algorithm. …”
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  11. 11
    Algorithm enhancement for host-based intrusion detection system using discriminant analysis

    Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

    Published 2004
    “…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
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  12. 12
    Amplitude independent muscle activity detection algorithm of soft robotic glove system for hemiparesis stroke patients using single sEMG channel

    Amplitude independent muscle activity detection algorithm of soft robotic glove system for hemiparesis stroke patients using single sEMG channel by Hameed, Husamuldeen Khalid

    Published 2020
    “…The algorithm employs the First Lag Autocorrelation and the Modified Sample Entropy methods to detect and classify weak hand closing and opening muscle activities by using signal obtained from the Flexor Carpi Ulnaris forearm muscle. …”
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  13. 13
    Optimised content-social based features for fake news detection in social media using text clustering approach

    Optimised content-social based features for fake news detection in social media using text clustering approach by Yahya, Adnan Hussein Ali

    Published 2025
    “…In general, the process of fake news detection was conducted in two different phases, the topic detection phase using a graph-based unsupervised clustering method based on HFPA and Markov Clustering Algorithm (MCL) called (HFPA-MCL) and the fake news detection phase using an unsupervised clustering method based on K-means algorithm. …”
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  14. 14
    Outlier detection in circular regression model using minimum spanning tree method

    Outlier detection in circular regression model using minimum spanning tree method by Nur Faraidah, Muhammad Di, Siti Zanariah, Satari, Roslinazairimah, Zakaria

    Published 2019
    “…Therefore, this study aims to develop new algorithms that can detect outliers by using the minimum spanning tree method. …”
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  15. 15
    Obfuscated Malware Detection: Impacts on Detection Methods

    Obfuscated Malware Detection: Impacts on Detection Methods by Gorment N.Z., Selamat A., Krejcar O.

    Published 2024
    “…This paper focuses on the impacts of obfuscated malware detection techniques using a variety of detection methods. …”
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  16. 16
    Multi-Phase Information Theory-Based Algorithm for Edge Detection of Aerial Images

    Multi-Phase Information Theory-Based Algorithm for Edge Detection of Aerial Images by Elaraby, Ahmed, Al-Ameen, Zohair

    Published 2022
    “…Such findings make the proposed algorithm desirable to be used as a key image detection method with other image-related applications.…”
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  17. 17
    Detection of head position using chain code algorithm

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…Features from the image are train using the Chain Code Algorithm (CCA) to do recognition of the crux human head then do detecting process. …”
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  18. 18
    Detection of head position using chain code algorithm

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…Features from the image are train using the Chain Code Algorithm (CCA) to do recognition of the crux human head then do detecting process. …”
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  19. 19
    An improved method using fuzzy system based on hybrid boahs for phishing attack detection

    An improved method using fuzzy system based on hybrid boahs for phishing attack detection by Noor Syahirah, Nordin

    Published 2022
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  20. 20
    Integrating genetic algorithms and fuzzy c-means for anomaly detection

    Integrating genetic algorithms and fuzzy c-means for anomaly detection by Chimphlee, Witcha, Abdullah, Abdul Hanan, Sap, Noor Md., Chimphlee, Siriporn, Srinoy, Surat

    Published 2005
    “…In this paper we propose an intrusion detection method that combines Fuzzy Clustering and Genetic Algorithms. …”
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