Search Results - (( based evaluation method algorithm ) OR ( time extraction method algorithm ))*
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1
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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2
An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks
Published 2020“…Due to the non-stationary nature of the ECG signal, it is rather challenging to use traditional handcraft methods, such as time-based analysis of feature extraction and classification, to pave the way for machine learning implementation. …”
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3
A Fast Vertical Edge Detection Algorithm for Car License Plate Detection
Published 2009“…This algorithm is based on the contrast between the values in the binarized image. …”
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4
A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…The instruments combine's observations, feature extraction methods and clustering methods which are expected to produce predictive results of high agreement with human experts based on evaluation of selected individually handwritten alphabets. …”
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5
Non-fiducial based electrocardiogram biometrics with kernel methods
Published 2017“…The effectiveness of this algorithm is investigated by comparing with other AC based feature extraction algorithms involving AC/LDA (Linear Discriminant Analysis) and AC/PCA (Principal Component Analysis). …”
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6
Operation of three-level inverter-based shunt active power filter under nonideal grid voltage conditions with dual fundamental component extraction
Published 2018“…The proposed method is named as dual fundamental component extraction algorithm. …”
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7
Fast temporal video segmentation based on Krawtchouk-Tchebichef moments
Published 2020“…TVS algorithm design is still challenging because most of the recent methods are unable to achieve fast and robust detection. …”
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8
Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments
Published 2018“…Moreover, the proposed method shows low computation cost which is ~5.5% of real-time. …”
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9
An Ar Natural Marker Similarities Measurement Algorithm For E-Biodiversity
Published 2018“…Nonetheless, the outcomes of these research are particular in term of the assessed stages of classification conduit, the adopted data for assessments, and in the comparative baseline methods. The objective of this research is to comparatively evaluate the effectiveness of different algorithms, method combination procedure, and their parameters towards classification accuracy. …”
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10
Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction
Published 2024“…Lately, a fully online buffer-based clustering algorithm for handling evolving data streams (BOCEDS) was developed. …”
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Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
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12
Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images
Published 2024“…The third proposed segmentation algorithm involves two pipelines for feature extraction: split & merge methods and Contextual Encoding Network (EncNet) with an attention mechanism. …”
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13
Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm
Published 2022“…Software based solutions using traditional algorithms such as Histogram of Gradients (HOG) and Gaussian Mixed Model (GMM) are computationally slow and not suitable for real-time traffic detection. )erefore, the paper will review and evaluate different vehicle detection methods. …”
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14
A novel framework for identifying twitter spam data using machine learning algorithms
Published 2020“…This study introduces a novel framework for identifying Twitter spam data based on machine learning algorithms. By initializing data pre-processing for clean-up, noise removal, and unpredictable unfinished data, reducing the number of features in the tweet dataset using mutual information is the study's methods. …”
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15
Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…The results of the comparison indicated that the MADE method has an excellent level of accuracy and outperforms the iterative method in terms of CPU-execution time.…”
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16
Adaptive resonance theory-based hand movement classification for myoelectric control system
Published 2014“…Further investigation has been done on a computation time evaluation between proposed ART-based methods, LDA and KNN. …”
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17
Fetal heart rate monitoring during pregnancy for assessing the well-being of the fetus
Published 2018“…The algorithm is based on digital filtering, adaptive thresholding, statistical properties in the time domain, and differencing of local maxima and minima. …”
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18
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2017“…The algorithm is based on digital filtering, adaptive thresholding, statistical properties in the time domain, and differencing of local maxima and minima. …”
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19
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2018“…The algorithm is based on digital filtering, adaptive thresholding, statistical properties in the time domain, and differencing of local maxima and minima. …”
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20
Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
Published 2013“…Further experimental setup was carried out for comparative evaluation and the MPPT algorithm was implemented to performance verification of the algorithm by using digital signal processor (TMS320F28335). …”
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