Zobrazeno 1 - 10
of 32 937
pro vyhledávání: '"A, Rostami"'
Speech is the most natural way of expressing ourselves as humans. Identifying emotion from speech is a nontrivial task due to the ambiguous definition of emotion itself. Speaker Emotion Recognition (SER) is essential for understanding human emotional
Externí odkaz:
http://arxiv.org/abs/2411.02964
Modulation classification is a very challenging task since the signals intertwine with various ambient noises. Methods are required that can classify them without adding extra steps like denoising, which introduces computational complexity. In this s
Externí odkaz:
http://arxiv.org/abs/2411.02428
Autor:
Rostami, Mohamadreza, Chen, Chen, Kande, Rahul, Li, Huimin, Rajendran, Jeyavijayan, Sadeghi, Ahmad-Reza
Publikováno v:
IEEE Security & Privacy ( Volume: 22, Issue: 4, July-Aug. 2024)
Hardware-level memory vulnerabilities severely threaten computing systems. However, hardware patching is inefficient or difficult postfabrication. We investigate the effectiveness of hardware fuzzing in detecting hardware memory vulnerabilities and h
Externí odkaz:
http://arxiv.org/abs/2410.22561
Autor:
Rostami, Mohamadreza, Zeitouni, Shaza, Kande, Rahul, Chen, Chen, Mahmoody, Pouya, Jeyavijayan, Rajendran, Sadeghi, Ahmad-Reza
Microarchitectural attacks represent a challenging and persistent threat to modern processors, exploiting inherent design vulnerabilities in processors to leak sensitive information or compromise systems. Of particular concern is the susceptibility o
Externí odkaz:
http://arxiv.org/abs/2410.22555
Autor:
Ghadi, Farshad Rostami, Wong, Kai-Kit, Kaveh, Masoud, Xu, H., New, W. K., Lopez-Martinez, F. Javier, Shin, Hyundong
Fluid antenna system (FAS) is gaining attention as an innovative technology for boosting diversity and multiplexing gains. As a key innovation, it presents the possibility to overcome interference by position reconfigurability on one radio frequency
Externí odkaz:
http://arxiv.org/abs/2410.20930
The bimodal metallicity distribution of globular clusters (GCs) in massive galaxies implies two distinct sub-populations: metal-poor and metal-rich. Using the recent data of \textit{Gaia} we highlighted three distinct dissimilarities between metal-po
Externí odkaz:
http://arxiv.org/abs/2410.16276
Autor:
Rostami, M., Kia, S. S.
In this article, we consider the problem of unconstrained time-varying convex optimization, where the cost function changes with time. We provide an in-depth technical analysis of the problem and argue why freezing the cost at each time step and taki
Externí odkaz:
http://arxiv.org/abs/2410.15009
Publikováno v:
ICEE 2023
This paper introduces a robust stress detection system utilizing a Convolutional Neural Network (CNN) designed for the analysis of Photoplethysmogram (PPG) signals. Employing the WESAD dataset, we applied Continuous Wavelet Transform (CWT) to extract
Externí odkaz:
http://arxiv.org/abs/2410.19776
Autor:
Sun, Ruitong, Rostami, Mohammad
Manual annotation of 3D medical images for segmentation tasks is tedious and time-consuming. Moreover, data privacy limits the applicability of crowd sourcing to perform data annotation in medical domains. As a result, training deep neural networks f
Externí odkaz:
http://arxiv.org/abs/2410.09210
Unsupervised Domain Adaptation (UDA) is crucial for reducing the need for extensive manual data annotation when training deep networks on point cloud data. A significant challenge of UDA lies in effectively bridging the domain gap. To tackle this cha
Externí odkaz:
http://arxiv.org/abs/2410.02720