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  1. 1

    Two objectives big data task scheduling using swarm intelligence in cloud computing by Diallo, Laouratou, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke, Islam, Shayla, Zarir, Abdullah Ahmad

    Published 2016
    “…In this direction, this paper first gives review of some previous scheduling algorithms used in cloud. Then, it proposes a type of swarm intelligence called Particle Swarm Optimization (PSO) algorithm to diminish cost though meeting deadlines. …”
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    Article
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    Computational intelligence of probabilistic simulation in demand side management for avoided utility cost improvisation in a generation operating system planning / Daw Saleh Sasi M... by Mohammed, Daw Saleh Sasi

    Published 2016
    “…The AUC is originated from the summation of avoided energy cost, avoided expected cycle cost and avoided capacity cost of the generating system……”
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    Thesis
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    Computational intelligence of probabilistic simulation in demand side management for avoided utility cost improvisation in a generation operating system planning / Daw Saleh Sasi M... by Sasi Mohamme, Daw Saleh

    Published 2017
    “…The AUC is originated from the summation of avoided energy cost, avoided expected cycle cost and avoided capacity cost of the generating system……”
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    Book Section
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    Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

    Published 2020
    “…The main problems which are faced by these fields include the high computational cost, memory cost, and low accuracy performance. …”
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    Article
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    Quantum Inspired Computational Intelligence Techniques for Combined Economic Emission Dispatch Problem by MAHDI, FAHAD PARVEZ

    Published 2017
    “…The main goal of this research is to attain a balanced trade-off between secured and profitable energy choices, and maintaining healthy and sound environment. Quantum computing phenomenon is integrated with swarm intelligence-based PSO and bat algorithm (BA) to make these algorithms computationally more powerful and robust.…”
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    Thesis
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    Optimization and discretization of dragonfly algorithm for solving continuous and discrete optimization problems by Bibi Amirah Shafaa, Emambocus

    Published 2024
    “…Swarm intelligence algorithms are metaheuristic algorithms inspired by the simple interactions of biological organisms in a population. …”
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    Thesis
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    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

    Published 2019
    “…Fixed search pattern technique is widely used in BMAs to provide less computations cost and improve prediction accuracy. Recently, intelligent searching methods were proposed to enhance the computational optimization issues in motion estimation but still lack in obtaining the best solution of block matching. …”
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    Thesis
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    Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review by Oladosu T.L., Pasupuleti J., Kiong T.S., Koh S.P.J., Yusaf T.

    Published 2025
    “…The multi-objective-based algorithm, reinforcement learning algorithm, and different hybridizations are enhancing HFCEVs cost-competing edge. ? …”
    Review
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    Computational intelligence: It’s application in digital watermarking by Olanrewaju, Rashidah Funke, Khalifa, Othman Omran, Abdul Latif, Khairun Nisaa’

    Published 2013
    “…It was found that ANN based watermarking outperformed the No ANN algorithm in terms of imperceptibility. It is anticipated that this paper will serve as a launch pad for researchers interested in intelligent watermarking.…”
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    Article
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    A preliminary lightweight random forest approach-based image classification for plant disease detection by Mashitah Ibrahim, Muzaffar Hamzah, Mohammad Fadhli Asli

    Published 2022
    “…This lightweight framework is for cost-effective distribution with high performance without requiring extensive computational resources or complex algorithms. …”
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    Conference or Workshop Item
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    A Survey of Stochastic processes in Wireless Sensor Network: a Power Management Prospective by Ul haq, Riaz, Norrozila, Sulaiman, Muhammad, Alam

    Published 2013
    “…A wireless sensor network consist of large number of low cost, low computational and limited power sensors. …”
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    Conference or Workshop Item
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    Hybrid evolutionary-dolphin echolocation programming for sizing optimization of stand-alone photovoltaic systems / Zulkifli Othman by Othman, Zulkifli

    Published 2021
    “…Initially, Iterative-based Sizing Algorithm (ISA) which uses the non-computational intelligence-based approach is presented to serve as the benchmark for computational intelligence (CI)-based sizing algorithm. …”
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    Thesis
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    Advances in materials informatics: A review by Sivan, Dawn, Kumar, K. Satheesh, Aziman, Abdullah, Raj, Veena, Izan Izwan, Misnon, Ramakrishna, Seeram, Jose, Rajan

    Published 2024
    “…We evaluate the growth of MI through its subfields and track the main path of its advancement for artificial intelligence-driven materials discovery. The advancements in computational intelligence via machine learning and deep learning algorithms in different fields of materials science are discussed. …”
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    Article
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    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…The applications of computational intelligence in manufacturing, in particular, play a leading role in the technological development of intelligent manufacturing systems. …”
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    Thesis
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    Comparison between ant colony and genetic algorithm using traveling salesman problem by Abduljabbar, Zaid Ammen, Khalefa, Mustafa S., A. Jabar, Marzanah

    Published 2013
    “…The results of comparison show that ant colony is high efficient than genetic algorithm and it requires less computational cost and generally only a few lines of code.…”
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    Article
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    Ump Intelligent Chatbot Using Dialogflow by Joachim, Agostain

    Published 2022
    “…Natural language keyword phrases put artificial intelligence in chatbots that allow computers to understand how humans talk in normal language. …”
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    Undergraduates Project Papers
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