Search Results - (( data extraction method algorithm ) OR ( parameters variation method algorithm ))
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An improvement of back propagation algorithm using halley third order optimisation method for classification problems
Published 2020“…This algorithm utilises first order optimisation method namely Gradient Descent (GD) method which attempts to minimise the error of network. …”
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2
CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…To overcome these ANN problems, the Genetic Algorithm (GA) has been most frequently used for this purpose, however, some drawbacks of GA include, slow search speed and dependence on initial parameters. …”
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3
Scene illumination classification based on histogram quartering of CIE-Y component
Published 2014“…This method is a combination of physic based methods and data driven (statistical) methods that categorize the images based on statistical features extracted from illumination histogram of image. …”
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4
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…In order to estimate the quality of ‘pruned’ features, self-adaptive DE algorithm is proposed. Two parameters (population size and generation numbers) are adaptively adopted from number of remaining ranking features. …”
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5
Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…Significance: The proposed method is simple and robust against individual variations in the PPG characteristics, thus making it suitable for a diverse range of datasets. …”
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Image Splicing Detection With Constrained Convolutional Neural Network
Published 2019“…With the datasets prepared and assembled, the proposed CNN model will have a series of experiments to test for the various parameters as well as to investigate other non-parametric factors such as the data variation itself. …”
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7
Optimization of Microbial Electrolysis Cell for Sago Mill Wastewater Derived Biohydrogen via Modeling and Artificial Neural Network
Published 2023“…The nonlinear effects resulting from the multiple variations of the uncertainty parameters, which are difficult to adjust or control in the experimental analysis, lead to a significant deviation between the experimental data and the predictions. …”
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8
Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images
Published 2015“…Brain MR Images are analysed by the established Freesurfer algorithms to extract the volumetric and thickness features of brain structures in all four time scans. …”
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Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system
Published 2010“…These algorithms are designed to achieve the robustness over a wide range of system parameters change and disturbances. …”
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11
Hybrid Control of A Quadrotor System Carrying Suspended Payload With Parameter Variations
Published 2025thesis::master thesis -
12
Voltage Variation Analysis By Using Gabor Transform
Published 2019“…The parameters extracted can detect the voltage variation signals successfully. …”
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Model-based hybrid variational level set method applied to lung cancer detection
Published 2024“…This paper presents a novel model-based hybrid variational level set method (VLSM) tailored for lung cancer detection. …”
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A reliable algorithm of fourth–order boundary value problems using modified variational iteration method
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Working Paper -
16
Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The feature extraction methods evaluated were Grayscale Pixel Values, Mean Pixel Value of Channels, and Extracting Edge Features. …”
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Performance of particle swarm optimization under different range of direct current motor's moment of inertia / Mohd Azri Abdul Aziz
Published 2018“…However, the use of moment of inertia and other parameters of DC motor are mostly to complete the transfer function and no specific analysis was done on the effects of their variations to the control method. …”
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18
Text Extraction Algorithm for Web Text Classification
Published 2010“…This study provides a text extraction algorithm for web text classification. The extraction algorithm consists of three phases namely web page extraction, rule formulation, and algorithm validation. …”
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19
Performance evaluation of smoothed functional algorithm based methods for sigmoid-PID control optimization in MIMO twin-rotor systems
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Parameter extraction of photovoltaic module using hybrid evolutionary algorithm
Published 2023Conference Paper
