Search Results - (( data visualization techniques algorithm ) OR ( using selection method algorithm ))
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1
Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
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2
Transient analysis for leak signature identification based on Hilbert Huang transform and integrated kurtosis algorithm for z-notch filter technique
Published 2018“…The current research presents the implementation of an integrated kurtosisbased algorithm for a z-filter technique (Ikaz) to kurtosis ratio (Ikaz-kurtosis), for this allows automatic selection of the IMF that should be used. …”
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3
Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The classification algorithm used in this research is the Convolutional Neural Network (CNN) algorithm. …”
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4
A Multidimensional Search Space Using Interactive Genetic Algorithm
Published 2010“…This paper applied an Interactive Genetic Algorithm (IGA) technique to design an visualization environment for search space. …”
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5
Efficient selective encryption schemes to secure video data and moving objects information for HEVC/H.265 using advanced encryption standard / Mohammed Ahmed Mohammed Saleh
Published 2016“…In the first and second methods, the visual video information is secured by encrypting limited transformed coefficients using AES algorithm. …”
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6
Subspace Techniques for Brain Signal Enhancement
Published 2009“…Next, the validity and the effectiveness of the algorithms to detect the P100's (used in objective assessment of visual pathways) are evaluated using real patient data collected from a hospital. …”
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Book Section -
7
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…It has been found that PCA, DOBIN, Stray algorithm, and DAE-KNN have a high learning rate compared to Random projection, ROBEM, and OCP methods. …”
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8
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
“…It has been found that PCA, DOBIN, Stray algorithm, and DAE-KNN have a high learning rate compared to Random projection, ROBEM, and OCP methods. …”
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9
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…It has been found that PCA, DOBIN, Stray algorithm, and DAE-KNN have a high learning rate compared to Random projection, ROBEM, and OCP methods. …”
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10
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…It has been found that PCA, DOBIN, Stray algorithm, and DAE-KNN have a high learning rate compared to Random projection, ROBEM, and OCP methods. …”
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11
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…It has been found that PCA, DOBIN, Stray algorithm, and DAE-KNN have a high learning rate compared to Random projection, ROBEM, and OCP methods. …”
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12
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…It has been found that PCA, DOBIN, Stray algorithm, and DAE-KNN have a high learning rate compared to Random projection, ROBEM, and OCP methods. …”
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13
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…It has been found that PCA, DOBIN, Stray algorithm, and DAE-KNN have a high learning rate compared to Random projection, ROBEM, and OCP methods. …”
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14
Using artificial intelligence search in solving the camera placement problem
Published 2022“…Two case studies are used to evaluate those algorithms, and the camera placement problem is formulated as a coverage maximization problem. …”
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15
Initialization procedure in solving Optimal Power Flow (OPF) using Artificial Immune System (AIS) optimization technique / Aimi Idzwan Tajudin
Published 2007“…The programmed that has been used in this project is MATLAB, which provides a high level computing language and interactive environment for algorithm development, data visualization, data analysis and numerical analysis. …”
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16
P300 detection of brain signals using a combination of wavelet transform techniques
Published 2012“…Meanwhile the new approaches in channels selection methods help the algorithms for convenient online usage.…”
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17
Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange Data Mining
Published 2025“…Materials and Methods: We used hyperspectral reflectance data from healthy and FLS of soybeans. …”
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18
An enhanced sequential exception technique for semantic-based text anomaly detection
Published 2019“…To demonstrate the feasibility of the technique, four selected datasets namely NIPS data, ENRON, Daily Koss blog, and 20Newsgroups were experimented on. …”
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19
Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…The training and parameters selection of the machine learning algorithms are conducted using EEG data collected from ten subjects in the laboratory. …”
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20
EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique
Published 2016“…The IncFRNN technique was evaluated using a collected EEG data from 37 subjects. …”
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