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Comparative assessment of various MPPT algorithms for solar photovoltaic systems under dynamic shading conditions
Published 2025“…In order to guarantee grid stability and efficiently manage energy resources, there has been a substantial energy transition brought about by growing worries about resource depletion, climate change, and environmental pollution. Energy is the basic requirement for the sustainable development of human society. …”
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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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Air quality forecasting and mapping in Malaysian urban areas: A hybrid deep learning approach
Published 2025text::Thesis -
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Energy Management System For Controlling Series Hybrid Electric Motorcycle
Published 2016“…Pollution issues and scarcity of fossil fuel inspire the development of hybrid electric vehicle. …”
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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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Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
Published 2013“…Then, the proposed MPPT algorithm and dc-dc boost converter were designed and developed in the same tool. …”
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The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa
Published 2003“…A neural network model is developed to obtain the NOx emission concentration under various operating condition. …”
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The prediction of diesel engine NOx emissions using artificial neural network / Mohd Mahadzir Mohammud and Khairil Faizi Mustafa
Published 2003“…A neural network model is developed to obtain the NOx emission concentration under various operating condition. …”
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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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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“…The second approach develops a dynamic CFD model for the target building. …”
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Development of genetic algorithm for optimization of yield models in oil palm production
Published 2018“…Owing to this great interest in the predictions, the study aims to develop a genetic algorithm (GA) to identify the relevant variables and search for the best combinations for modelling to examine the potential of oil palm production in Sarawak and Sabah, Borneo, Malaysia, under a given set of assumptions. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Predicting the onset of acute coronary syndrome events and in-hospital mortality using machine learning approaches / Song Cheen
Published 2023“…The ML models for regression and classification were developed and optimized; the regression models aimed to predict ACS patients’ hospitalization and mortality rates, while the classification models were designed to predict the mortality risk of ACS patients under the influence of air pollution. …”
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Economic dispatch with environmental consideration using particle swarm optimization technique / Mohammad Azlee Madon
Published 2011“…Particle Swarm Optimization algorithm is proposed to solve this problem developed using MATLAB program.…”
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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“…By combining the FLS and ELM, new hybrid model, i.e., FLS-ELM is developed. 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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Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area
Published 2005“…Domestic consumption of rice is projected to increase with increase in population; whereby the increase in production has to come from higher productivity in the existing granary areas since there is no plan to increase the area under paddy cultivation. It has long been recognized that pollutant gases cause significant impacts on crops and forests in both developed and developing countries. …”
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