Search Results - (( developing countries validity algorithm ) OR ( java adaptation optimization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…In the developed feature selection approach, multi-objective binary-valued backtracking search algorithm (MOBBSA) is used as an efficient evolutionary search algorithm to search within different combinations of input variables and selects the non-dominated feature subsets, which minimize simultaneously both the estimation error and the number of features. …”
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Evaluation of outlier filtering algorithms for accurate measurement of travel time reliability incorporating lane-splitting situations / Obada M. A. Asqool
Published 2022“…Most developed and developing countries, including Malaysia, experience high traffic congestion, especially in urban areas. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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An improved diabetes risk prediction framework : An Indonesian case study
Published 2018“…Pre-processing resolves the issue of missing data and hence normalizes the data.Outlier treatment employs k-mean clustering to validate the class.Suitable components were selected through comparison of classifier algorithms and feature selection.Attribute weighting based feature selection was selected for assigning weightage.Weighted risk factor was used on training dataset in order to improve accuracy and computation time of the prediction. …”
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Investigation of load variant under power distribution network reconfiguration using EPSO algorithm
Published 2024“…Furthermore, the test result also indicated that the EPSO algorithm produced better results in terms of convergence time compared to the conventional PSO algorithm.…”
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Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm
Published 2013“…HOGA, as a new effective tool for multi-objective optimization by evolutionary algorithm is used in this research. HOGA (Hybrid Optimization by Genetic Algorithms) is developed by Dr.Lopez from Zaragoza university in Spain. …”
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Design and development of fanger model and fuzzy logic based controller for air conditioners
Published 2019“…To validate the performance of the proposed model, the results from both microcontroller prototype and MATLAB simulation are compared for validation purpose. …”
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Progressive damage analysis of composite layered plates using a mesh reduction method
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Application of data mining techniques for economic evaluation of air pollution impact and control
Published 2007“…Thus, to reduce global warming in home country, a country can import energy from foreign country. …”
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Let’s collaborate’: Malaysian TVET-engineering institution and industry partnership
Published 2022“…Through the PLS-SEM approach, this study focuses on the analysis of (a) convergent validity and (b) discriminant validity in which these two validities have six analyses; (i) external loading, (ii) composite reliability, (iii) average variance extracted (AVE), (iv) Fornell-Larcker, (v) cross-loading, and (vi) Heterotrait-Monotrait Ratio (HTMT). …”
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Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia
Published 2019“…The general objective of the study was the development of optimized hybrid debris flow models using airborne laser scanning data and Machine learning algorithms in Malaysia. …”
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Prediction analysis of effluent removal in a septic sludge treatment plant: A biomimetics engineering approach
Published 2023“…Effluent discharge from septic tanks is affecting the environment in developing countries. The most challenging issue facing these countries is the cost of inadequate sanitation, which includes significant economic, social, and environmental burdens. …”
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Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System
Published 2018“…Conventional air quality monitoring systems, such as gas analysers, are commonly used in many developed and developing countries to monitor air quality. …”
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Calibration model of a low-cost air quality sensor using an adaptive neuro-fuzzy inference system
Published 2018“…Conventional air quality monitoring systems, such as gas analysers, are commonly used in many developed and developing countries to monitor air quality. …”
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Transtheoretical model of change for weight control in Malaysian context
Published 2010“…Empirical support of the effectiveness of weight control using Transtheoretical Model of Change (TIM) as the framework have been demonstrated by some studies and clinical practice for weight control in developed countries. However, TIM's potentia1 in weight control has yet to be tested among the natives in Sarawak, Malaysia. …”
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