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  1. 1
    Using the bees algorithm to optimise a support vector machine for wood defect classification

    Using the bees algorithm to optimise a support vector machine for wood defect classification by Pham, D.T, Muhammad, Zaidi, Mahmuddin, Massudi, Ghanbarzadeh, Afshin, Koc, Ebubekir, Otri, Sameh

    Published 2007
    “…The paper presents the results obtained to demonstrate the strengths of the Bees Algorithm as an optimization tool.…”
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  2. 2
    Modified anfis architecture with less computational complexities for classification problems

    Modified anfis architecture with less computational complexities for classification problems by Talpur, Noureen

    Published 2018
    “…The performance of proposed modified ANFIS architecture is validated with the standard ANFIS architecture for solving classification problems. The results show that the proposed modified ANFIS architecture with gaussian membership function and Artificial Bee Colony (ABC) optimization algorithm, on average has achieved classification accuracy of 99.5% with 83% less computational complexity.…”
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  3. 3
    Optimisation of support vector machine hyperparameters using enhanced artificial bee colony variant to diagnose breast cancer

    Optimisation of support vector machine hyperparameters using enhanced artificial bee colony variant to diagnose breast cancer by Ravindran, Nadarajan

    Published 2023
    “…This algorithm named JAABC5ROC is the enhancement of Artificial Bee Colony (ABC) variant, JA-ABC5 by combining with Rate of Change (ROC)\. …”
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  4. 4
    Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier

    Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier by Talfur, Khasif Hussain

    Published 2018
    “…This research selected three commonly used swarm-based metaheuristic algorithms – Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Cuckoo Search (CS) – to perform component-wise analysis. …”
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  5. 5
    Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems

    Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems by Franco, Daniel Jose Da Graca Peceguina

    Published 2021
    “…Water Distribution Systems (WDS) are now controlled and monitored by computational systems, constituting the primary management challenge from both an operational and public health standpoint. …”
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  6. 6
    Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant

    Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant by Alemu Lemma, Tamiru, Rangkuti, Chalillullah, Mohd Hashim, Fakhruldin

    Published 2009
    “…Neuro-fuzzy approach trained by a sequence of optimization algorithms-Particle Swarm Optimization (PSO) followed by Back-Propagation (BP)-is used to develop models for the steam drum pressure, steam drum water level, steam flow rate and chilled water supply temperature. …”
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  7. 7
    Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam

    Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam by Lai, Vivien Mei Yen

    Published 2023
    “…The Whale Optimisation Algorithm (WOA), Harris Hawks Optimisation (HHO) Algorithm, Lévy Flight WOA (LFWOA) and the Opposition-Based Learning of HHO (OBL-HHO) were proposed to simulate the initial model’s response and optimise the Klang Gate Dam (KGD) release operation with observed inflow, water level (storage), release, and evaporation rate (loss). …”
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  8. 8
    Feedforward artificial neural network-based model for predicting the removal of phenolic compounds from water by using deep eutectic solvent-functionalized CNTs

    Feedforward artificial neural network-based model for predicting the removal of phenolic compounds from water by using deep eutectic solvent-functionalized CNTs by Ibrahim R.K., Fiyadh S.S., AlSaadi M.A., Hin L.S., Mohd N.S., Ibrahim S., Afan H.A., Fai C.M., Ahmed A.N., Elshafie A.

    Published 2023
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  9. 9
    Investigate the Relation between Particle Size Distribution (PSD) Using Image Analysis Method and Chemical Oxygen Demand (COD) In POME Sample

    Investigate the Relation between Particle Size Distribution (PSD) Using Image Analysis Method and Chemical Oxygen Demand (COD) In POME Sample by Mohd Fathilah, Anis Afiqah

    Published 2015
    “…Chemical Oxygen Demand (“after this will be mentioned as COD”) represents total organic solvent in the wastewater and also amount of oxygen needed by the microorganism to oxidize the organic carbon completely to carbon dioxide, water and ammonia. Particle Size Distribution (“after this will be mentioned as PSD”) generally will affect the settling velocity, rate of sedimentation, flocculation, coagulation and absorption of organic compound. …”
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  10. 10
    Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment

    Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment by Al-Jumaili A.H.A., Muniyandi R.C., Hasan M.K., Singh M.J., Paw J.K.S.

    Published 2024
    “…The leakage fault cases verify the algorithm�s applicability and complete the correlation diagnosis of water wall leakage fault. …”
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  11. 11
    Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid

    Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid by Saaid, Mohammad Farid

    Published 2022
    “…The model fit and residual distribution have also been analysed for this model.…”
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  12. 12
    Multi-objective optimization of a three-fluid hollow fiber membrane dehumidifier for energy-efficient drying applications

    Multi-objective optimization of a three-fluid hollow fiber membrane dehumidifier for energy-efficient drying applications by Tejes, P.K.S., Naik, B. Kiran, Dasore, Abhishek, Hashim, Norhashila

    Published 2025
    “…Two conflicting objectives, energy transfer across membrane column (Emc) and vapor removal rate (υVRR), were optimized utilizing the NSGA-II algorithm and fuzzy clustering with weighted cumulative probability distribution (FC-WCPD). …”
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  13. 13
    Investigation of numerical phase transition of nano-enhanced SiC/paraffin wax PCM in solar-assisted water desalination system

    Investigation of numerical phase transition of nano-enhanced SiC/paraffin wax PCM in solar-assisted water desalination system by Fayaz H., Ramesh S., Afzal A., A?bulut �., Afghan Khan S., Asif M., Raja V., Linul E.

    Published 2025
    “…A pressure staggering option algorithm is applied for pressure?velocity coupling. …”
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  14. 14
    Nomadic people optimizer (NPO) for large-scale optimization problems

    Nomadic people optimizer (NPO) for large-scale optimization problems by Mohamd Salih, Sinan Qahtan

    Published 2019
    “…The NPO is inspired by the lifestyle of the nomads. The proposed algorithm simulates the behavior of the nomads when they are searching for life sources (water or grazing fields). …”
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  15. 15
    Investigation of numerical phase transition of nano-enhanced SiC/paraffin wax PCM in solar-assisted water desalination system

    Investigation of numerical phase transition of nano-enhanced SiC/paraffin wax PCM in solar-assisted water desalination system by Fayaz, Hussain, Ramesh, S., Afzal, Asif, Agbulut, Ümit, Khan, Sher Afghan, Asif, Mohammed, Raja, Vijayanandh, Linul, Emanoil

    Published 2024
    “…A pressure staggering option algorithm is applied for pressure–velocity coupling. …”
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  16. 16
    Termite mounds morphometry in predicting groundwater potentiality using geospatial technology

    Termite mounds morphometry in predicting groundwater potentiality using geospatial technology by Bala, Ahmed Jamilu

    Published 2020
    “…The effects of five (5) environmental factors (elevation, land use/land cover, geology, drainage and static water level) on the distribution of termite mounds as well as their structure, mortality rate and species diversity formed a knowledge-base for multi-criteria evaluation of suitable sites for termite nesting. …”
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  17. 17
    High-Frequency Ripple Injection Signals for the Effective Utilization of Residential EV Storage in Future Power Grids With Rooftop PV System

    High-Frequency Ripple Injection Signals for the Effective Utilization of Residential EV Storage in Future Power Grids With Rooftop PV System by Muttaqi K.M., Rahman O., Sutanto D., Hossain Lipu M.S., Abdolrasol M.G.M., Hannan M.A.

    Published 2023
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  18. 18
    Molecular Dynamic Simulation of CO2 Absorption into Mixed Aqueous Solutions MDEA/PZ

    Molecular Dynamic Simulation of CO2 Absorption into Mixed Aqueous Solutions MDEA/PZ by Noorlisa, Harun, Emyra Ezzaty, Masiren

    Published 2017
    “…The simulation method also involved calculation of force field and time integration algorithm.The results were interpreted in terms of Radial Distribution Function (RDF) analysis. …”
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  19. 19
    Hydrodynamics behavior in quadrilateral bubble column using industrial radiotracer techniques

    Hydrodynamics behavior in quadrilateral bubble column using industrial radiotracer techniques by Mohd Yunos, Mohd Amirul Syafiq

    Published 2018
    “…The performance of newly synthesized industrial radiotracers was successfully validated by investigating aqueous phase system in bubble column reactor at different air flow rates and sparger design using radiotracer flow measurement method and residence time distribution studies with accuracy more than 98%. …”
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  20. 20
    Dynamic two phase modelling and anfis-based control of ethylene copolymerization in catalytic Fluidized Bed Reactor / Mohammad Reza Abbasi

    Dynamic two phase modelling and anfis-based control of ethylene copolymerization in catalytic Fluidized Bed Reactor / Mohammad Reza Abbasi by Mohammad Reza , Abbasi

    Published 2019
    “…To test the model and control the polymer MFI and temperature, inlet hydrogen concentration and cool water flow rate have been manipulated respectively. …”
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