Search Results - (( time selection method algorithm ) OR ( pattern detection method algorithm ))
Search alternatives:
- pattern detection »
- method algorithm »
- time selection »
-
1
Artificial immune system based on real valued negative selection algorithms for anomaly detection
Published 2015“…This shows that the Negative Selection Algorithms are equipped with the capabilities of detecting changes in data, thus appropriate for anomaly detection. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
2
Swarm negative selection algorithm for electroencephalogram signals classification
Published 2009“…Such automated systems must rely on robust and effective algorithms for detection and prediction. Approach: The proposed detection system of epileptic seizure in EEG signals is based on Discrete Wavelet Transform (DWT) and Swarm Negative Selection (SNS) algorithm. …”
Get full text
Article -
3
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In comparison to different single algorithms for feature selection,experimental results show that the proposed ensemble method is able to reduce dimensionality, the number of irrelevant features and produce reasonable classifier accuracy. …”
Get full text
Get full text
Thesis -
4
P300 detection of brain signals using a combination of wavelet transform techniques
Published 2012“…By reduction of recording EEG channels in the single trial based algorithms, the processing time of P300 detection decrease dramatically. …”
Get full text
Get full text
Thesis -
5
A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…Size was extracted using Extreme Point Detection algorithm and Hit or Miss Transformation method was used to extract the stroke formation pattern. …”
Get full text
Get full text
Thesis -
6
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Moreover, a comparison of each algorithm for anomaly detection is also provided to produce a better algorithm. …”
Get full text
Get full text
Article -
7
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
“…Moreover, a comparison of each algorithm for anomaly detection is also provided to produce a better algorithm. …”
Get full text
Get full text
Article -
8
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Moreover, a comparison of each algorithm for anomaly detection is also provided to produce a better algorithm. …”
Get full text
Get full text
Article -
9
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Moreover, a comparison of each algorithm for anomaly detection is also provided to produce a better algorithm. …”
Get full text
Get full text
Article -
10
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Moreover, a comparison of each algorithm for anomaly detection is also provided to produce a better algorithm. …”
Get full text
Get full text
Article -
11
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Moreover, a comparison of each algorithm for anomaly detection is also provided to produce a better algorithm. …”
Get full text
Get full text
Article -
12
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Moreover, a comparison of each algorithm for anomaly detection is also provided to produce a better algorithm. …”
Get full text
Get full text
Article -
13
Non-invasive pathological voice classifications using linear and non-linear classifiers
Published 2010“…Three feature extraction methods are proposed based on the time-domain energy variations, Mel frequency cepstral coefficients combined with singular value decomposition and wavelet packet and entropy features. …”
Get full text
Thesis -
14
Image clustering comparison of two color segmentation techniques
Published 2010“…There are many algorithm for analysing clustering each having its own method to do clustering. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
15
Adaptive feature selection for denial of services (DoS) attack
Published 2017“…Adaptive detection is the learning ability to detect any changes in patterns in intrusion detection systems. …”
Get full text
Get full text
Conference or Workshop Item -
16
Spectral Estimation And Supervised Classification Technique For Real Time Electromyography Pattern Recognition
Published 2018“…Electromyography (EMG) signal is a biomedical signal which measures physical activity of human muscle.It has been acknowledged to be widely used in rehabilitation or recovery application system assisting physiotherapist to monitor a patient’s physical strength,function,motion and overall well-being by addressing the underlying physical issues.In application system associated with rehabilitation,a signal processing and classification techniques are implemented to classify EMG signal obtained.For real time application in the rehabilitation, the classification is crucial issue.The success of the signal classification depends on the selection of the features that represent a raw EMG signal in the signal processing.Therefore,a robust and resilient denoising method and spectral estimation technique have been acknowledged as necessary to distinguish and detect the EMG pattern.The present study was undertaken to determine the characteristic of EMG features using denoising method and spectral estimation technique for assessing the EMG pattern based on a supervised classification algorithm.In the study,the combination of time-frequency domain (TFD) and time domain (TD) were identified as the preferred denoising method and spectral estimation techniques.In the first part of study, the recorded EMG signal filtered the contaminated noise by using wavelet transform (WT) approach which implemented discrete wavelet transform (DWT) method of the wavelet-denoising signal. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
17
A performance comparison study of pattern recognition systems for volatile organic compounds detection / Emilia Noorsal, Muhammad Khusairi Osman and Norfadzilah Mokhtar
Published 2007“…The performance of each neural network was analysed in terms of the classification accuracy, average score, total training time required during the training process and the test time of the optimised networks. …”
Get full text
Get full text
Research Reports -
18
Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis
Published 2022“…This project’s objectives are to implement rule-based algorithm method for abnormal pattern detection in PPG signals, and to investigate the accuracy and performance of rule-based algorithm in detecting the abnormal pattern. …”
Get full text
Get full text
Undergraduates Project Papers -
19
-
20
Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
Get full text
Get full text
Thesis