Search Results - (( data estimation method algorithm ) OR ( data visualization study algorithm ))

Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network by Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F.

“…MVPA-CNN based proposed algorithm is compared with region of interest (ROI) based method and MVPA based estimated values. …”
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EEG-based brain source localization using visual stimuli by Jatoi, M.A., Kamel, N., Malik, A.S., Faye, I., Bornot, J.M., Begum, T.

“…In this research study, EEG data is collected by providing visual stimulus to healthy subjects. …”
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Subspace Techniques for Brain Signal Enhancement by Kamel , Nidal, Yusoff, Mohd Zuki

“…Further, the subspace methods under study are applied to estimate visual evoked potentials (VEPs) which are highly corrupted by spontaneous electroencephalogram (EEG) signals. …”
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Generalized Subspace Approach for Measurements of Visual Evoked Potentials by Yusoff, Mohd Zuki

“…The results of fifty real patient data further confirm that both GSAs are better estimators compared to the other studied techniques. …”
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Generalized Subspace Approach for Measurement of Latencies in Visual Evoked Potentials by Yusoff, Mohd Zuki

“…The results of fifty real patient data further confirm that both GSAs are better estimators compared to the other studied techniques. …”
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Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm by Abdurrahim, Salem Hamed

“…The proposed technique based on the watershed algorithm, which is applied to the gradient magnitude of the MRI data. …”
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Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection by Khan, A., Ali, S.S.A., Meriaudeau, F., Malik, A.S., Soon, L.S., Seng, T.N.

“…The visual feedback and corrosion estimation rely on the same image data during the inspection of the pipeline, hence, reducing the complexity of the overall algorithm. …”
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EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method by Khosropanah, Pegah

“…To remove eye blink artifacts, the mother wavelet of Bior 3.3 was used due to its high morphological resemblance to eye blink and yet differentiable characteristic to epileptic spikes. Since MEMD method is a data-driven method which meets the criteria to be applied for EEG processing, therefore this method was employed to extract EEG epileptic spike features. …”
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Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins by Sidek L.M., Basri H., Marufuzzaman M., Deros A.M., Osman S., Hassan F.A.

“…Additionally, to predict the flood depth, a trained Decision Tree (DT)-based sorting algorithm is used in this method. This DT-based model takes 4 random rainfall data to train and predict the flood depth of the study area…”

A Salient Based Bag of Visual Word model (SBBoVW): improvements toward difficult object recognition and object location in image retrieval by Mansourian, Leila, Abdullah, Muhamad Taufik, Abdullah, Lilli Nurliyana, Azman, Azreen, Mustaffa, Mas Rina

“…Contributions lied in the present study are two-fold. One is to introduce a new approach, which is a Salient Based Bag of Visual Word model (SBBoVW) to recognize difficult objects that have had low accuracy in previous methods. …”
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Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review by Norhasmira, Mohammad, Rohana, Ahmad, Arofi, Kurniawan, Mohd Yusmiaidil, Putera Mohd Yusof

“…Background: Forensic odontology may require a visual or clinical method during identification. Sometimes it may require forensic experts to refer to the existing technique to identify individuals, for example, by using the atlas to estimate the dental age. …”
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Improved robust estimator and clustering procedures for multivariate outliers detection by Sharifah Sakinah, Syed Abd Mutalib

“…Hence, the main objective of this study is to propose a robust estimator in order to develop an improved procedure for detecting outliers in multivariate data using robust clustering-based methods. …”
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Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques by Muhadi, Nur 'Atirah

“…Water level estimation was predicted based on the elevations from LiDAR data. …”
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High-Resolution Downscaling with Interpretable Relevant Vector Machine: Rainfall Prediction for Case Study in Selangor by Abdul Rashid, Raghdah Rasyidah, Shaharudin, Shazlyn Milleana, Sulaiman, Nurul Ainina Filza, Zainuddin, Nurul Hila, Mahdin, Hairulnizam, Mohd Najib, Summayah Aimi, Hidayat, Rahmat

“…The Principal Component Analysis (PCA) technique was employed to choose relevant environmental variables as input for the machine learning model, and various imputation methods were utilized to manage missing data, such as mean imputation and the KNN algorithm. …”
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Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique by Ling, Tung Chai

“…Results obtained by this technique are compared with the Jabatan Kerja Raya manual using conventional method to check accuracy. The algorithms developed in this study are capable of identifying type of cracking and its severity level at the accuracy about 90%. …”
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Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia by Ali, Y., Padmanabhan, E., Andriamihaja, S., Faisal, A.

“…The predicted image was compared to the original one to estimate the prediction accuracy. The method proved to give good results in terms of the predicted images accuracy. …”
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Spatial variations prediction in carbonate porosity using artificial neural network: Subis Limestones, Sarawak, Malaysia by Ali, Y., Padmanabhan, E., Andriamihaja, S., Faisal, A.

“…The predicted image was compared to the original one to estimate the prediction accuracy. The method proved to give good results in terms of the predicted images accuracy. …”
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Automated pavement imaging program (APIP) for pavement cracks classification and quantification – a photogrammetric approach by Mustaffar, Mushairry, Puan, O. C., Ling, Tung Chai

“…Furthermore, the automated method can improve the objectivity, accuracy, and consistency of the distress survey data. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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A stable and accurate wavelet-based method for noise reduction from hyperspectral vegetation spectrum by Mohd Shafri, Helmi Zulhaidi, Ebadi, Ladan

“…Additionally, hyperspectral signals are usually studied using the derivative analysis method that is very sensitive to noise in the data. …”
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