Search Results - (( java adaptation optimization algorithm ) OR ( parameter intention model algorithm ))
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1
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
2
Analysis of online CSR message authenticity on consumer purchase intention in social media on Internet platform via PSO-1DCNN algorithm
Published 2024“…First, this work uses one-dimensional convolutional neural network (1DCNN) to model the relationship between the two. This model uses multichannel convolution feature, BN and Dropout strategy to promote performance for the model. …”
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3
Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…Extreme value (EV) theory has raised researcher intention for modeling and forecasting of catastrophic or higher risk events. …”
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4
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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5
Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar
Published 2015“…This research presents a modified optimization program for the system splitting problem in large scale power system based on Artificial Bee Colony algorithm and graph theory. The post-islanding frequency stability is maintained by optimizing the Load Frequency Control‘s parameters. …”
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6
A comprehensive analysis of surface electromyography for control of lower limb exoskeleton
Published 2016“…A parametric model based on Hill Muscle Model (HMM) to estimate the knee joint moment is developed for both experiments protocols. …”
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7
FACTORS INFLUENCING THE INTENTION TO ADOPT E-WALLET: A REGIONAL DISTRIBUTION PERSPECTIVE IN MALAYSIA
Published 2022“…Using a quantitative approach and purposive sampling technique, data collection is engineered to have a prerequisite of minimum 50 respondents per region. Based on parameters of two tailed test with confidence interval of 95% (significance level 0.05), a total of 400 responses were analysed via SmartPLS with PLS-SEM algorithm. …”
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