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  1. 1
    Beamforming Algorithms for Adaptive Array Antenna

    Beamforming Algorithms for Adaptive Array Antenna by Nurul Hazlina, Noordin, Zulkeflee, Kalidin

    Published 2014
    “…The algorithms are applied to a 3-faceted adaptive array antenna. …”
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  2. 2
    Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME)

    Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction o... by Chong, D.J.S., Chan, Y.J., Arumugasamy, S.K., Yazdi, S.K., Lim, J.W.

    Published 2023
    “…Confirmatory experiments were carried out in the biogas plant under this set of optimised variables for a period of two months. The predicted biogas production and methane yield are highly correlated to the actual data with small percentage difference of 1.25 and 5.09 respectively, indicating that ANFIS model was accurate and reliable. …”
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  3. 3
    A self-adaptive step-size search algorithm for the cardinality constrained portfolio optimisation problem

    A self-adaptive step-size search algorithm for the cardinality constrained portfolio optimisation problem by Zi, Xuan Loke, Say, Leng Goh, Jonathan Likoh Juis @ Juise

    Published 2024
    “…This paper proposes a Self-adaptive Step-size Search (SASS) algorithm to address a Cardinality Constrained Portfolio Optimisation Problem (CCPOP). …”
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  4. 4
    Securing Data Using Deep Hiding Selected The Least Significant Bit And Adaptive Swarm Algorithm

    Securing Data Using Deep Hiding Selected The Least Significant Bit And Adaptive Swarm Algorithm by Bashar Izzeddin Issa Aljidi, Sundresan A/L Perumal, Sakinah Ali Pitchay

    Published 2024
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  5. 5
    EEG-based emotion recognition using machine learning algorithms

    EEG-based emotion recognition using machine learning algorithms by Lam, Yee Wei

    Published 2024
    “…Throughout this research study, models like Support Vector Machine (SVM), K-Nearest Neighbours (KNN) and Adaptive Boosting (AdaBoost) will be explored. …”
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  6. 6
    Novel Adaptive Bacterial Foraging Algorithms for Global Optimisation with Application to Modelling of a TRS

    Novel Adaptive Bacterial Foraging Algorithms for Global Optimisation with Application to Modelling of a TRS by Ahmad Nor Kasruddin, Nasir, Nor Maniha, Abd Ghani, Tokhi, M. O.

    Published 2015
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  7. 7
    A new cryptosystem analogous to LUCELG and Cramer-Shoup

    A new cryptosystem analogous to LUCELG and Cramer-Shoup by Muslim, Norliana, Md. Said, Mohamad Rushdan

    Published 2009
    “…Based on LUCELG and Cramer-Shoup cryptosystems, a new public key cryptosystem is developed by generating the key generation, encryption and decryption algorithm. There are two types of security for the new cryptosystem that we are concerned which are the security of Lucas function and its security against an adaptive chosen ciphertext attack. …”
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  8. 8
    Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm

    Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm by ,, Dwi Pebrianti, Ann Ayop azmi, Nurnajmi Qasrina, Bayuaji, Luhur, Suarin, Nur Aisyah Syafinaz, ,, Muhammad Syafrullah

    Published 2022
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  9. 9
    Development of a cryptography model based on improved filtering, compression and encryption techniques for ECG signal processing

    Development of a cryptography model based on improved filtering, compression and encryption techniques for ECG signal processing by Hameed, Mustafa Emad

    Published 2022
    “…Furthermore, to increase security, a cryptography mechanism has been employed using the Advanced Encryption Standard (AES) algorithm and Cipher Block Chaining (CBC) operation mode scheme with a 256-bit key. …”
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  10. 10
    Adapting And Hybridising Harmony Search With Metaheuristic Components For University Course Timetabling

    Adapting And Hybridising Harmony Search With Metaheuristic Components For University Course Timetabling by Al-Betar, Mohammed Azmi

    Published 2010
    “…The major thrust of this algorithm lies in its ability to integrate the key components of populationbased methods and local search-based methods in the same optimisation model. …”
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  11. 11
    Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process

    Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process by Zanil, M.F., Hussain, Mohd Azlan

    Published 2015
    “…The optimised structure is used to predict three-difference control action simultaneously. …”
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  12. 12
    A modified flower pollination algorithm and carnivorous plant algorithm for solving engineering optimization problem

    A modified flower pollination algorithm and carnivorous plant algorithm for solving engineering optimization problem by Ong, Kok Meng

    Published 2021
    “…Flower pollination algorithm (FPA) is a biomimicry optimisation algorithm inspired by natural pollination. …”
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  13. 13
    An adaptive ant colony optimization algorithm for rule-based classification

    An adaptive ant colony optimization algorithm for rule-based classification by Al-Behadili, Hayder Naser Khraibet

    Published 2020
    “…Ant-Miner is a variant of ant colony optimisation and a prominent intelligent algorithm widely use in rules-based classification. …”
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  14. 14
    Multivariable Adaptive Lyapunov Fuzzy Controller for pH Neutralisation Process

    Multivariable Adaptive Lyapunov Fuzzy Controller for pH Neutralisation Process by Zanil, M.F., Hussain, Mohd Azlan

    Published 2015
    “…The optimised structure is used to predict three-difference control action simultaneously. …”
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  15. 15
    Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor

    Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor by Hafz Nour, Mutasim Ibrahim

    Published 2008
    “…The fuzzy inference system is trained and designed using an adaptive network. The rules and the implication method used are also optimised and minimised in order to shorten the computation time. …”
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  16. 16
    Techno-economic impact analysis for renewable energy-based hydrogen storage integrated grid electric vehicle charging stations in different potential locations of Malaysia

    Techno-economic impact analysis for renewable energy-based hydrogen storage integrated grid electric vehicle charging stations in different potential locations of Malaysia by Roslan M.F., Ramachandaramurthy V.K., Mansor M., Mokhzani A.S., Jern K.P., Begum R.A., Hannan M.A.

    Published 2025
    “…The results demonstrated favourable outcomes, with the total Net Present Cost (NPC) ranging from $1.4 million to $3.4 million across all locations, and the Cost of Energy (COE) ranging from $0.03/kWh to $0.16/kWh. These findings suggest that the optimization methodology is adaptable for implementation in diverse locations with different meteorological conditions. …”
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  17. 17
    Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification

    Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification by Petwan, Montha

    Published 2023
    “…The Friedman test result is presented for the performance rank of six benchmark feature selection algorithms and FESSIC algorithm. The Man-Whitney U test is then performed to statistically evaluate the significance difference of the second rank and FESSIC algorithms. …”
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  18. 18
    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance

    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

    Published 2023
    “…The first part involves a review of prior locustinspired algorithms, while the second part concerns the adaptation of the algorithm to the cloud computing paradigm. …”
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  19. 19
    Enhancing user authentication for cloud web-based application / Detar Beqo

    Enhancing user authentication for cloud web-based application / Detar Beqo by Detar , Beqo

    Published 2018
    “…It uses an enhanced encryption algorithm, and the data is stored securely in the cloud systems. …”
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  20. 20
    Design of experiments meets immersive environment: optimising eating atmosphere using artificial neural network

    Design of experiments meets immersive environment: optimising eating atmosphere using artificial neural network by Kantono, Kevin, How, Muhammad Syahmeer, Wang, Qian Janice

    Published 2022
    “…In a novel cross-disciplinary twist, we propose to adapt DOE approach to the optimisation of restaurant atmosphere. …”
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