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  1. 1
    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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  2. 2
    Batch mode heuristic approaches for efficient task scheduling in grid computing system

    Batch mode heuristic approaches for efficient task scheduling in grid computing system by Maipan-Uku, Jamilu Yahaya

    Published 2016
    “…Many algorithms have been implemented to solve the grid scheduling problem. …”
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  3. 3
    SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment

    SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment by Murad, Saydul Akbar, Zafril Rizal, M. Azmi, Muzahid, Abu Jafar Md, Bhuiyan, Md Khairul Bashar, Saib, Md, Rahimi, Nick, Prottasha, Nusrat Jahan, Bairagi, Anupam Kumar

    Published 2024
    “…To conduct this experiment, we employed the CloudSim simulator, which is implemented using the Java programming language.…”
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  4. 4
    Design of a pattern classification system using extreme learning machine

    Design of a pattern classification system using extreme learning machine by Sakthivel Thangavelu

    Published 2024
    text::Final Year Project
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  5. 5
    Design of a pattern classification system using extreme learning machine

    Design of a pattern classification system using extreme learning machine by Sakthivel Thangavelu

    Published 2023
    text::Final Year Project
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  6. 6
    Application of the bees algorithm to the selection features for manufacturing data

    Application of the bees algorithm to the selection features for manufacturing data by Pham, D.T, Mahmuddin, Massudi, Otri, S., Al-Jabbouli, H.

    Published 2007
    “…The Bees Algorithm is employed to select an optimal set of features for a particular pattern classification task. …”
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  7. 7
    Labview™ for Nutra-Biostrip in Herbal Quality Assessment

    Labview™ for Nutra-Biostrip in Herbal Quality Assessment by Mohd Noor, Ahmad, Yap, Maxsim Mee Sim, Mohd Kamal, Mohamed, Ramly, Nil, Ali Yeon, Md Shakaff, Chang, Chew-Cheen

    Published 2008
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  8. 8
    Prediction of sleep pattern for university students using machine learning

    Prediction of sleep pattern for university students using machine learning by Widya, Muhammad Faishal Atha, Utoro, Rio Korio, Roedavan, Rickman, Soegiarto, Duddy, Moorthy, Kohbalan, Pratondo, Agus

    Published 2026
    “…Sleep patterns significantly affect the health and academic performance of university students. …”
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  9. 9
    Simple quantum circuit for pattern recognition based on nearest mean classifier

    Simple quantum circuit for pattern recognition based on nearest mean classifier by Mahmoud Ahmed, Gharib Subhi, Messikh Azeddine, Azeddine

    Published 2016
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  10. 10
    Intelligent road recognition system for automous vehicle

    Intelligent road recognition system for automous vehicle by Soon, Adrian Bee Toing

    Published 2013
    “…For an autonomous vehicle to move with flexibility or to adapt to a new road environment, it needs to have human-like perception and intelligence. This project proposes an intelligent visual perception system for an autonomous vehicle. …”
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  11. 11
    Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA

    Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA by Phak Len, Eh Kan, Rafikha Aliana, Raof, Ahmad Nasir, Che Rosli, Razaidi, Hussin

    Published 2009
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  12. 12
    Handgrip strength evaluation using neuro fuzzy approach

    Handgrip strength evaluation using neuro fuzzy approach by Seng, W.C., Chitsaz, M.

    Published 2010
    “…The purpose of this study is to collect handgrip strength of patients and distinguish them from the normal persons. Multilevel Perception neural network utilizes the back-propagation learning algorithm is suitable to discover relationships and patterns in the dataset. …”
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  13. 13
    Rational bidding meets emotional viewing: the landscape of English auction livestreams in the age of algorithms

    Rational bidding meets emotional viewing: the landscape of English auction livestreams in the age of algorithms by Li, Siqi, Mohd Nor Akmal Khalid, Iida, Hiroyuki

    Published 2024
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  14. 14
    Advancing literary analysis with Python: a comprehensive study of simile detection and classification in the translation of Al-Abrat

    Advancing literary analysis with Python: a comprehensive study of simile detection and classification in the translation of Al-Abrat by Al Zahrawi, Rasha Talal, Syed Abdullah, Syed Nurulakla, Sarirete, Akila, Abdullah, Muhammad Alif Redzuan

    Published 2025
    “…Key findings reveal distinct patterns in simile usage, particularly the prevalence of perceptible-perceptible and cognitive-cognitive categories, emphasizing the role of figurative language in fostering thematic and emotional engagement. …”
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  15. 15
    Automatic classification of infant cry: A review

    Automatic classification of infant cry: A review by Saraswathy, J., Muthusamy, Hariharan, Dr., Sazali, Yaacob, Prof. Dr., Wan Khairunizam, Wan Ahmad, Dr

    Published 2012
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  16. 16
    Auto raise hand in Microsoft teams (API/Extension)

    Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

    Published 2023
    “…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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  17. 17
    A preliminary framework of measuring music attractiveness based on facial beauty theory

    A preliminary framework of measuring music attractiveness based on facial beauty theory by Hoo, Yong Leng, Mohd Norowi, Noris, Jantan, Azrul Hazri

    Published 2016
    “…However, previous studies were paying less effort on evaluating the quality of music from human perception. The proposed system will apply a hybrid concept by combining few composition techniques to generate music with musical patterns. …”
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  18. 18
    Anomaly detection of denial-of-service network traffic attacks using autoencoders and isolation forest

    Anomaly detection of denial-of-service network traffic attacks using autoencoders and isolation forest by Ghulam Hussain, Muhammad Thaqif, Shafeeq Lone, Aman, Maspo, Nur-Adib, Attarbashi, Zainab

    Published 2026
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  19. 19
    Artificial neural network modeling of grinding of ductile cast iron using water based sio2 nanocoolant

    Artificial neural network modeling of grinding of ductile cast iron using water based sio2 nanocoolant by M. M., Rahman, K., Kadirgama, Azma Salwani, Ab Aziz

    Published 2014
    “…An artificial neural network model is developed for predicting the surface roughness and MRR. Multi-layer perception and a batch back propagation algorithm are used. …”
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  20. 20
    Watermarking technique based on ISB (Intermediate Significant Bit)

    Watermarking technique based on ISB (Intermediate Significant Bit) by Zeki, Akram M., Abdul Manaf, Azizah, Olanweraju, Rashidah Funke

    Published 2010
    “…It inserts a perceptually transparent pattern called watermark in an image called host or cover using an embedding algorithm. …”
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