Search Results - (( regional distribution means algorithm ) OR ( based evaluation method algorithm ))
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1
Model-based hybrid variational level set method applied to object detection in grey scale images
Published 2024“…To tackle the persistent challenge of segmenting grayscale images with both uneven characteristics and high noise levels, a hybrid level-set algorithm based on kernel metrics is introduced. This algorithm leverages an improved multi-scale mean filter to mitigate grayscale inhomogeneity while reducing the impact of scale parameter selection. …”
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2
Baseline trace metals in water and sediment of the Baleh River—a tropical river in Sarawak, Malaysia
Published 2016“…For sediment, the background values were established according to statistical methods including (mean + 2σ), iterative 2σ, cumulative distribution frequency, interquartile, and calculation distribution function. …”
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3
Investigation Of Electrical Capacitance Tomography For Agarwood Detection
Published 2022“…Based on the current research, the commonly applied tomography on method is based on sonic, magnetic inductive and microwave tomography approaches. …”
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Undergraduates Project Papers -
4
Initial study of electrical capacitance tomography for detecting agarwood
Published 2023“…The forward problem was solved using COMSOL, and tomogram images were obtained using a linear back-projection algorithm in MATLAB. The images closely matched the reference image based on the mean structural similarity index (MSSIM) values. …”
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A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…The results of the analysis show that Forgy K-means non-hierarchical (FKNH), Hartigan- Wong K-means non-hierarchical (HKNH), and Lloyd K-means non-hierarchical (LKNH) regionalisation algorithms are superior to other automated agglomerative hierarchical and non-hierarchical regionalisation algorithms. …”
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6
A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…The results of the analysis show that Forgy K-means non-hierarchical (FKNH), HartiganWong K-means non-hierarchical (HKNH), and Lloyd K-means non-hierarchical (LKNH) regionalisation algorithms are superior to other automated agglomerative hierarchical and non-hierarchical regionalisation algorithms. …”
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7
Termite mounds morphometry in predicting groundwater potentiality using geospatial technology
Published 2020“…The effects of five (5) environmental factors (elevation, land use/land cover, geology, drainage and static water level) on the distribution of termite mounds as well as their structure, mortality rate and species diversity formed a knowledge-base for multi-criteria evaluation of suitable sites for termite nesting. …”
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8
A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…The results of the analysis show that Forgy K-means non-hierarchical (FKNH), HartiganWong K-means non-hierarchical (HKNH), and Lloyd K-means non-hierarchical (LKNH) regionalisation algorithms are superior to other automated agglomerative hierarchical and non-hierarchical regionalisation algorithms. …”
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9
A method for computation of surface roughness of digital elevation model terrains via multiscale analysis
Published 2010“…Granulometric analysis is employed to compute the average area of curvature regions in the terrain, and the average roughness of the terrain due the distribution of curvature regions. …”
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10
A method for computation of surface roughness of digital elevation model terrains via multiscale analysis
Published 2010“…Granulometric analysis is employed to compute the average area of curvature regions in the terrain, and the average roughness of the terrain due the distribution of curvature regions. …”
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Novel wide-area fault location and predictive maintenance technique for distribution system
Published 2023“…The algorithm is able to identify the faulted branches in a radial distribution system with high accuracy. …”
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Comparison between clustering algorithm for rainfall analysis in Kelantan / Wan Nurshazelin Wan Shahidan and Siti Nurasikin Abdullah
Published 2017“…So, in this study clustering algorithm on rainfall distribution dataset is done using WEKA 3.8 software. …”
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13
Enhancing clustering algorithm with initial centroids in tool wear region recognition
Published 2020“…Regular unsupervised K-means is refocused as semi-supervised Fixum K-means. …”
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Development of lung cancer prediction system using meta-heuristic optimized deep learning model
Published 2023“…After that cancer-affected region in the lung is segmented with the help of the proposed Butterfly Optimization Algorithm-based K-Means Clustering (BOAKMC) algorithm. …”
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15
Standardizing and weighting the evaluation criteria of many-objective optimization competition algorithms based on fuzzy delphi and fuzzy-weighted zero-inconsistency methods
Published 2021“…Thus, this research aims to standardize and weigh the evaluation criteria of MaOO competitive algorithms base on fuzzy Delphi and new fuzzy-weighted zero-inconsistency (FWZIC) methods. …”
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16
TRMM Satellite Algorithm Estimates to Represent the Spatial Distribution of Rainstorms
Published 2016“…These findings suggest that satellite algorithm estimations from TRMM are suitable to represent the spatial distribution of extreme rainfall.…”
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An attack proof intelligent digital watermarking based on safe region of fast fourier transform
Published 2010“…Keywords: (Artificial Neural Network, Back Propagation algorithm, Fast Fourier Transform, FFT, Image watermarking, Safe Region,) …”
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Proceeding Paper -
18
Development of mapping methods for seagrass meadows in Malaysia by using landsat images
Published 2015“…The next study was focused on assessment of the geometric and radiometric fidelity of images reconstructed by three potential gap-filling methods: (1) Geostatistical Neighbourhood Similar Pixel Interpolator (GNSPI), (2) Weighted linear regression algorithm integrated with Laplacian prior regularization, and (3) Local Linear Histogram Matching methods. …”
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19
Computation of scale-independent surface roughness via the generation of multiscale digital elevation models
Published 2008“…Using the mask of pixels modified at each scale, granulometric analysis is employed to compute the average size of convex and concave regions in the DEM, and the scale-independent average roughness of the terrain of the DEM due the distribution of convex and concave regions in the terrain. …”
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Conference or Workshop Item -
20
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…However, the complexity of the kmedoid based algorithms in general is more than the complexity of the k-means based algorithms. …”
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Thesis
