Zobrazeno 1 - 10
of 10 364
pro vyhledávání: '"Rostami, P."'
The success of vision transformers is widely attributed to the expressive power of their dynamically parameterized multi-head self-attention mechanism. We examine the impact of substituting the dynamic parameterized key with a static key within the s
Externí odkaz:
http://arxiv.org/abs/2412.07049
Coronary artery disease stands as one of the primary contributors to global mortality rates. The automated identification of coronary artery stenosis from X-ray images plays a critical role in the diagnostic process for coronary heart disease. This t
Externí odkaz:
http://arxiv.org/abs/2412.02568
Data-driven organizations around the world routinely use forecasting methods to improve their planning and decision-making capabilities. Although much research exists on the harms resulting from traditional machine learning applications, little has s
Externí odkaz:
http://arxiv.org/abs/2411.16531
Autor:
Ghadi, Farshad Rostami, Wong, Kai-Kit, Lopez-Martinez, F. Javier, Hanzo, Lajos, Chae, Chan-Byoung
This letter considers a fluid antenna system (FAS)-aided rate-splitting multiple access (RSMA) approach for downlink transmission. In particular, a base station (BS) equipped with a single traditional antenna system (TAS) uses RSMA signaling to send
Externí odkaz:
http://arxiv.org/abs/2411.11453
Degenerate two-dimensional electron liquids are theoretically established to possess two vastly distinct collisional electron mean free paths, where even-parity deformations of the Fermi surface are hydrodynamic with a short collisional mean free pat
Externí odkaz:
http://arxiv.org/abs/2411.08102
Single-layer semiconducting transition-metal dichalcogenides, lacking point inversion symmetry, provide an efficient platform for valleytronics, where the electronic, magnetic, valley and lattice degrees of freedom can be selectively manipulated by u
Externí odkaz:
http://arxiv.org/abs/2411.06561
Multilingual machine translation models often outperform traditional bilingual models by leveraging translation knowledge transfer. Recent advancements have led to these models supporting hundreds of languages and achieving state-of-the-art results a
Externí odkaz:
http://arxiv.org/abs/2411.06506
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