Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Noman, Fuad"'
The low-rank plus sparse (L+S) decomposition model has enabled better reconstruction of dynamic magnetic resonance imaging (dMRI) with separation into background (L) and dynamic (S) component. However, use of low-rank prior alone may not fully explai
Externí odkaz:
http://arxiv.org/abs/2401.16928
Autor:
Yap, Sin-Yee, Loo, Junn Yong, Ting, Chee-Ming, Noman, Fuad, Phan, Raphael C. -W., Razi, Adeel, Dowe, David L.
Recent applications of pattern recognition techniques on brain connectome classification using functional connectivity (FC) are shifting towards acknowledging the non-Euclidean topology and dynamic aspects of brain connectivity across time. In this p
Externí odkaz:
http://arxiv.org/abs/2302.07243
Common measures of brain functional connectivity (FC) including covariance and correlation matrices are semi-positive definite (SPD) matrices residing on a cone-shape Riemannian manifold. Despite its remarkable success for Euclidean-valued data gener
Externí odkaz:
http://arxiv.org/abs/2212.05316
Autor:
Noman, Fuad, Ting, Chee-Ming, Kang, Hakmook, Phan, Raphael C. -W., Boyd, Brian D., Taylor, Warren D., Ombao, Hernando
Brain functional connectivity (FC) reveals biomarkers for identification of various neuropsychiatric disorders. Recent application of deep neural networks (DNNs) to connectome-based classification mostly relies on traditional convolutional neural net
Externí odkaz:
http://arxiv.org/abs/2107.12838
Autor:
Alammari, Ammar, Alkahtani, Ammar Ahmed, Ahmad, Mohd Riduan, Noman, Fuad M., Esa, Mona Riza Mohd, Kawasaki, Zen, Tiong, Sieh Kiong
Despite the significant progress made in studying the lightning phenomenon, precise location and mapping of its occurrence remain a challenge. Lightning mapping can be determined by studying the electromagnetic radiation accompanying the lightning di
Externí odkaz:
http://arxiv.org/abs/2006.00563
Autor:
Alammari, Ammar, Alkahtani, Ammar, Riduan, Mohd, Noman, Fuad, Esa, Mona Riza Mohd, Sabri, Muhammad Haziq Mohamad, Mohammad, Sulaiman Ali, Al-Khaleefa, Ahmed Salih, Kawasaki, Zen, Agelidis, Vassilios
A lightning mapping system based on perpendicular crossed baseline interferometer (ITF) technology has been developed rapidly in recent years. Several processing methods have been proposed to estimate the temporal location and spatial map of lightnin
Externí odkaz:
http://arxiv.org/abs/2004.13559
The integration of large-scale wind farms and large-scale charging stations for electric vehicles with the electricity grids necessitate energy storage support for both technologies. Matching the energy variability of the wind farms with the demand v
Externí odkaz:
http://arxiv.org/abs/2004.12140
Autor:
Noman, Fuad, Alkawsi, Gamal, Abbas, Dallatu, Alkahtani, Ammar, Tiong, Seih Kiong, Ekanyake, Janaka
Wind energy has gained a huge interest in the recent years in various countries due to the high demand of energy and the shortage of traditional electricity sources. This is because it is cost effective and environmentally friendly source that could
Externí odkaz:
http://arxiv.org/abs/2004.11538
We exploit altered patterns in brain functional connectivity as features for automatic discriminative analysis of neuropsychiatric patients. Deep learning methods have been introduced to functional network classification only very recently for fMRI,
Externí odkaz:
http://arxiv.org/abs/1903.08858
This paper proposes a framework based on deep convolutional neural networks (CNNs) for automatic heart sound classification using short-segments of individual heart beats. We design a 1D-CNN that directly learns features from raw heart-sound signals,
Externí odkaz:
http://arxiv.org/abs/1810.11573