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pro vyhledávání: '"Sadeghi, Mohammad"'
In this paper, we propose a framework to enhance the robustness of the neural models by mitigating the effects of process-induced and aging-related variations of analog computing components on the accuracy of the analog neural networks. We model thes
Externí odkaz:
http://arxiv.org/abs/2409.18553
Vision Transformers (ViTs) represent a groundbreaking shift in machine learning approaches to computer vision. Unlike traditional approaches, ViTs employ the self-attention mechanism, which has been widely used in natural language processing, to anal
Externí odkaz:
http://arxiv.org/abs/2407.12736
The deployment of Vision Transformers (ViTs) on hardware platforms, specially Field-Programmable Gate Arrays (FPGAs), presents many challenges, which are mainly due to the substantial computational and power requirements of their non-linear functions
Externí odkaz:
http://arxiv.org/abs/2406.14854
Video content has experienced a surge in popularity, asserting its dominance over internet traffic and Internet of Things (IoT) networks. Video compression has long been regarded as the primary means of efficiently managing the substantial multimedia
Externí odkaz:
http://arxiv.org/abs/2401.01163
Self-supervised visual representation learning traditionally focuses on image-level instance discrimination. Our study introduces an innovative, fine-grained dimension by integrating patch-level discrimination into these methodologies. This integrati
Externí odkaz:
http://arxiv.org/abs/2310.18651
The quality and quantity of data used for training greatly influence the performance and effectiveness of deep learning models. In the context of error correction, it is essential to generate high-quality samples that are neither excessively noisy no
Externí odkaz:
http://arxiv.org/abs/2310.13275
Autor:
Sadeghi, Mohammad
The need to cope with the rapid transformation of the conventional electrical grid into the future smart grid, with multiple connected microgrids, has led to the investigation of optimal smart grid architectures. The main components of the future sma
Externí odkaz:
http://hdl.handle.net/10393/43673
Publikováno v:
ApJ 944, 194 (2023)
Observations show that there are twisted magnetic flux tubes and plasma flow throughout the solar atmosphere. The main purpose of this work is to obtain the damping rate of sausage modes in the presence of magnetic twist and plasma flow. We obtain th
Externí odkaz:
http://arxiv.org/abs/2304.04266
Over the past thirty years, logistics has undergone tremendous change from a purely operational performance that led to sales or production and focused on securing supply and delivery lines to customers, with the transformation of intelligent technol
Externí odkaz:
http://arxiv.org/abs/2206.12277
As manufacturers and technologies become more complicated, manufacturing errors such as machine failure and human error have also been considered more over the past. Since machines and humans are not error-proof, managing the machines and human error
Externí odkaz:
http://arxiv.org/abs/2206.11853