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The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm
Published 2020“…Therefore, this paper proposed a Black Widow Optimisation (BWO) algorithm inspired by the bizarre mating behaviour of a spider as the method to use to solve the problem. …”
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Comparative assessment of various MPPT algorithms for solar photovoltaic systems under dynamic shading conditions
Published 2025“…s superiority as compared to conventional control techniques under different operating conditions. ? The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.…”
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A review of the inter-correlation of climate change, air pollution and urban sustainability using novel machine learning algorithms and spatial information science
Published 2021“…Emerging data science tools, particularly Machine Learning (ML) big data analytics, are being utilized to predict air pollution intensity and frequency under varying climatic conditions for effective mitigation plans. …”
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Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
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Economic dispatch with environmental consideration using Honey Bee algorithm / Zaidi Faiq Mohd Noh
Published 2015“…Environmental concerns in industries shows increment in term of concerns and awareness among companies by strictest the pollutions regulation. This paper presents a Honey Bee (HB) Algorithm solution for Economic and Emission Dispatch problem in power system. …”
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GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms
Published 2021“…Although some studies have predicted air pollutants such as particulate matter (PM) using machine learning algorithms (MLAs), there is a paucity of studies on spatial hazard assessment with respect to the air quality index (AQI). …”
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Solar maximum power point tracking based on improved incremental conductance algorithm
Published 2025“…Traditional maximum power point tracking (MPPT) algorithms, including incremental conductance (INC) and perturbation and observation (P&O), often get stuck in local optima under these conditions, while intelligent algorithms such as particle swarm optimization (PSO) are hampered by large oscillations and uncertain convergence. …”
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Conference or Workshop Item -
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Air quality forecasting and mapping in Malaysian urban areas: A hybrid deep learning approach
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Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
Published 2013“…Simulation results are presented to validate performance of the algorithm under different irradiation schemes, and to compare with the results obtained from conventional algorithm. …”
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Predictive dynamic CFD approach to reducing airborne transmission in naturally ventilated hospital rooms: Impact of window opening angles during transitional cold seasons in China...
Published 2025“…Furthermore, the study found that if the window opening direction is improperly set, window-opening behavior may lead to severe pollutant dispersion rather than effectively reducing indoor pollutant levels. …”
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Optimal Power Flow Solution With Stochastic Renewable Energies Using Nature Inspired Algorithm
Published 2022“…By the end of this study, this algorithm should have been demonstrated to be a process that is simple to use and capable of searching for a nearglobal optimal solution with significant convergence and effectiveness when compared to other algorithms.…”
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Undergraduates Project Papers -
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Energy Management System For Controlling Series Hybrid Electric Motorcycle
Published 2016“…They create enormous pollutants due to the lack of viable pollution prevention technologies. …”
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The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa
Published 2003“…NOx contained in the exhaust gases of diesel engines have been identified as elements responsible for polluting our atmosphere. In order to reduce or to control diesel engine polluting emissions, the formation mechanism of NOx can be predicted. …”
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The prediction of diesel engine NOx emissions using artificial neural network / Mohd Mahadzir Mohammud and Khairil Faizi Mustafa
Published 2003“…NOx contained in the exhaust gases of diesel engines have been identified as elements responsible for polluting our atmosphere. In order to reduce or to control diesel engine polluting emissions, the formation mechanism of NOx can be predicted. …”
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A hybrid fuzzy logic and extreme learning machine for improving efficiency of circulating water systems in power generation plant
Published 2023“…The applicability of this proposed hybrid model is validated in fault detection in CWS which may help to improve overall efficiency of power generation plant, hence, consuming less natural recourses and producing less pollutions. � Published under licence by IOP Publishing Ltd.…”
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