Search Results - (( based extraction method algorithm ) OR ( pre estimation method algorithm ))

EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method by Khosropanah, Pegah

“…Therefore, in this study a coupled Multivariate Empirical Mode Decomposition (MEMD) with embedded automated artifact remover algorithm and inverse solution method is proposed. …”
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Age Group Estimation from Face Images by Tiong, Pei Kee

“…We have proposed an age group estimation algorithm based on the wrinkle features on the face image. …”
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

“…Therefore, this research has designed fuzzy learning algorithm that is able to classify fruits based on their shape and size features using Harumanis dataset. …”
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A Subspace Approach for Extracting Signals Highly Corrupted by Colored Noise by Yusoff, Mohd Zuki, Hussin, Fawnizu Azmadi

“…The simulation results produced by the post-modified SSA2 algorithm, show a higher degree of consistencies in detecting the VEP's P100, P200, and P300 peaks, in comparisons to the pre-modified SSA1 method. …”
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Estimation of non-contact smartphone video-based vital sign monitoring using filtering and standard color conversion techniques by Qayyum, A., Malik, A.S., Shuaibu, A.N., Nasir, N.

“…Furthermore, the color distortion filtering method is used for pre-processing in order to extract the less noisy YCbCr signal. …”
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An automated cervical pre-cancerous diagnostic system by Nor Ashidi, Mat-Isa, Mohd Yusoff Mashor, Nor Hayati, Othman

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Autonomous person-following telepresence robot using monocular camera and deep learning YOLO by Mat Lazim, Izzuddin, Sakri, Ahmad Amin Firdaus, Mauzi, Suffian At-Tsauri, Sahrim, Musab, Ramli, Liyana, Noordin, Aminurrashid

“…To compensate for the monocular camera's inability to provide depth information, a novel distance estimation algorithm based on focal length and person width is introduced. …”
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The classification of wink-based eeg signals by means of transfer learning models by Jothi Letchumy, Mahendra Kumar

“…This study aimed to explore the performance of different pre-processing methods, namely Fast Fourier Transform, Short-Time Fourier Transform, Discrete Wavelet Transform, and Continuous Wavelet Transform (CWT) that could allow TL models to extract features from the images generated and classify through selected classical ML algorithms . …”
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Ensemble averaging subspace-based approach for ERP extraction by Kamel, Nidal, Malik, Aamir, Jatoi, Munsif Ali

“…A novel approach based on Subspace methods is proposed for extracting the Event Related Potentials (ERPs) from the background Electroencephalograph (EEG) colored noise. …”
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Image-based Ananas Comosus detection and counting using artificial neural network / Wan Nurazwin Syazwani Rahimi by Rahimi, Wan Nurazwin Syazwani

“…Then, the top view of the pineapple's crown images was pre-processed, segmented and performed via feature extraction process by shape, colour and texture features before classifying it as fruit or non-fruit using the ANN counting algorithm. …”
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Establishment of spectral subtraction-based algorithm for experimental modal analysis under operating condition by Che Ku Eddy Nizwan, Che Ku Husin

“…The artificial ambient was reproduced based on pre-triggered data in measured vibration response. …”
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Autonomous Person-following Telepresence Robot Using Monocular Camera And Deep Learning Yolo by Ahmad Amin Firdaus Sakri, Noor Hanis Izzuddin Mat Lazim, Suffian At-Tsauri Mauzi, Mus’ab Sahrim, Liyana Ramli, Aminurrashid Noordin

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Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

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A Subspace Approach with Pre-whitening for Measurements of Latencies in Visual Evoked Potentials by Yusoff, Mohd Zuki, Nidal S., Kamel

“…Since EEG is colored noise, explicit pre-whitening of the corrupted VEP waveform is performed in the proposed algorithm, to resolve diagonalization problems and achieve full VEP space decorrelation. …”
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Generalized Subspace Approach for Measurements of Visual Evoked Potentials by Yusoff, Mohd Zuki

“…The results of comprehensively simulated data involving SNR from 0 to -11 dB indicate that the GSA schemes outperform the other three methods. The GSA estimators produce the lowest failure rate and average errors, and their performance is relatively independent of the given SNR in contrary to the other methods. …”
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Generalized Subspace Approach for Measurement of Latencies in Visual Evoked Potentials by Yusoff, Mohd Zuki

“…The results of comprehensively simulated data involving SNR from 0 to -11 dB indicate that the GSA schemes outperform the other three methods. The GSA estimators produce the lowest failure rate and average errors, and their performance is relatively independent of the given SNR in contrary to the other methods. …”
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Malay festive seasons food recognition for calorie detection / Nurul Hafiza Basiruddin by Basiruddin, Nurul Hafiza

“…Then the result from the Color Feature Extraction Method is used to identify the type of food by using Error-Correcting Output Codes (ECOC) classification which is the part of the Support Vector Machine (SVM) algorithm. …”
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Malay festive seasons food recognition for calorie detection using SVM and ECOC approaches / Nurul Hafiza Binti Basiruddin, Zalikha Zulkifli and Samsiah Ahmad by Basiruddin, Nurul Hafiza, Zulkifli, Zalikha, Ahmad, Samsiah

“…Then the result from the Color Feature Extraction Method is used to identify the type of food by using Error-Correcting Output Codes (ECOC) classification, which is part of the Support Vector Machine (SVM) algorithm. …”
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Processing and classification of landsat and sentinel images for oil palm plantation detection by Mohd Ibrahim, Azhar, Asming, Muhammad Anwar Azizan, Abir, Intiaz Mohammad

“…The process includes the analysis of both supervised and unsupervised modules in terms of their contrast visual and reflectance spectral curve to find the best method of extracting the images’ features. In distinguishing oil palm trees, optimisation of the pre-processing of the images enables the extraction of useful information based on its spectral signature, before they are utilised as an input for the soft computing method. …”
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Detection and Classification of Moving Objects for an Automated Surveillance System by Md. Tomari, Mohd Razali

“…Finally, classification algorithm that makes use of the extracted moment values from the detected objects successfully categorize objects into pre-defined classes of human and vehicle with 89.08% of accuracy. …”
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