Search Results - (( panel extraction means algorithm ) OR ( regional distribution process algorithm ))
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Identifying Damage Types in Solar Panels Through Surface Image Analysis with Naive Bayes
Published 2024“…The findings indicate that the GNB algorithm surpasses BNB, with a mean average precision (mAP) of 39.83% with an 85:15 training-test ratio, whereas BNB reaches a maximum mAP of 29.25% at a 90:10 ratio. …”
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Medical Image Analysis Using Deep Learning and Distribution Pattern Matching Algorithm
Published 2023Article -
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Development of lung cancer prediction system using meta-heuristic optimized deep learning model
Published 2023“…The algorithm detects the affected region depending on pixel similarity computation process. …”
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A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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Distance vector-hop range-free location algorithm for wireless sensor network
Published 2015“…This has caused the tasks for each sensor node to be permanently fixed, thus causing the overall process of the localization algorithm to be complex. …”
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A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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Communication and computational cost on parallel algorithm of PDE elliptic type
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Determining the multi-current sources of magnetoencephalography by using Fuzzy Topographic Topological Mapping
Published 2006“…The second is the seed-based region growing (SBRG) algorithm which is used to confirm the number of current sources available in the system by automation. …”
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Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
Published 2019“…In the empirical experiment by using this algorithm, some region in the image which is supposed to be non-face region is detected as face due to the similarity of human face features. …”
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Sobel And Canny Edges Segmentations For The Dental Age Assessment
Published 2024“…The development an automated dental age assessment required segmentation process; which is dividing the image into multiple meaningful parts based on region and edge. …”
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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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A biological inspired fuzzy adaptive window median filter (FAWMF) for enhancing DNA signal processing
Published 2017“…The algorithm applied to variety of DNA datasets produced noteworthy discrimination between coding and non-coding regions contrary to fixed window length conventional filters. © 2017 Elsevier B.V.…”
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Electrical Capacitance Tomography Design And Analysis For Bubble Flow Regime
Published 2010“…Tomography system is a process to determine the distribution of materials in some region of interest by obtaining a set of measurements using sensors that are distributed around the periphery. …”
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Defect detection based on extreme edge of defective region histogram
Published 2018“…This study proposes a new automatic thresholding algorithm based on the acquisition of the defective region histogram and the selection of its extreme edge as the threshold value to segment all defective objects in the foreground from the image background. …”
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Visualization of dengue incidences using expectation maximization (EM) algorithm
Published 2017“…Along with the prediction modeling on data using centroid model and distribution model based on K-means and Expectation Maximization (EM) algorithms respectively. …”
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Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob
Published 2022“…The training and validation of the ANN was based on optimization of its training parameters and guided by the convergence of the mean squared errors (MSE). The result revealed that the ANN performance had the highest accuracy when training using the LM training algorithm. …”
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The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach
“…A number of features were extracted and engineered from the IMU data, i.e., mean, skewness, kurtosis, peak to peak, root mean square as well as standard deviation of the acceleration and angular velocities along the primary axes. …”
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