Zobrazeno 1 - 10
of 24 994
pro vyhledávání: '"A. A. Rashed"'
Autor:
Tangui, Sophia, Hurand, Simon, Aljasmi, Rashed, Benmoumen, Ayoub, David, Marie-Laure, Moreau, Philippe, Morisset, Sophie, Célérier, Stéphane, Mauchamp, Vincent
Publikováno v:
Small (2024): 2406334
MXenes stand out from other 2D materials because they combine very good electrical conductivity with hydrophilicity, allowing cost-effective processing as thin films. Therefore, there is a high fundamental interest in unraveling the electronic transp
Externí odkaz:
http://arxiv.org/abs/2411.05461
In high-energy physics, quantum statistical correlation measurements are very important for getting a good picture of how a particle-emitting source is structured in space and time, as well as its thermodynamic properties and inner dynamics. It is ne
Externí odkaz:
http://arxiv.org/abs/2410.15525
Domain or statistical distribution shifts are a key staple of the wireless communication channel, because of the dynamics of the environment. Deep learning (DL) models for detecting multiple-input multiple-output (MIMO) signals in dynamic communicati
Externí odkaz:
http://arxiv.org/abs/2406.10453
Autor:
Islam, Md. Shariful, Shaqib, SM, Ramit, Shahriar Sultan, Khushbu, Shahrun Akter, Sattar, Abdus, Noori, Sheak Rashed Haider
In the construction sector, ensuring worker safety is of the utmost significance. In this study, a deep learning-based technique is presented for identifying safety gear worn by construction workers, such as helmets, goggles, jackets, gloves, and foo
Externí odkaz:
http://arxiv.org/abs/2406.07707
Accurate segmentation of the stroke lesions using magnetic resonance imaging (MRI) is associated with difficulties due to the complicated anatomy of the brain and the different properties of the lesions. This study introduces the Neuro-TransUNet fram
Externí odkaz:
http://arxiv.org/abs/2406.06017
In the context of recommendation systems, addressing multi-behavioral user interactions has become vital for understanding the evolving user behavior. Recent models utilize techniques like graph neural networks and attention mechanisms for modeling d
Externí odkaz:
http://arxiv.org/abs/2405.09638
Autor:
Ali, Hasmot, Hossain, Md. Fahad, Hasan, Md. Mehedi, Abujar, Sheikh, Noori, Sheak Rashed Haider
Voice based applications are ruling over the era of automation because speech has a lot of factors that determine a speakers information as well as speech. Modern Automatic Speech Recognition (ASR) is a blessing in the field of Human-Computer Interac
Externí odkaz:
http://arxiv.org/abs/2404.15168
Stroke remains a significant global health concern, necessitating precise and efficient diagnostic tools for timely intervention and improved patient outcomes. The emergence of deep learning methodologies has transformed the landscape of medical imag
Externí odkaz:
http://arxiv.org/abs/2403.18637
Autor:
Zafari-Ghadim, Yalda, Soliman, Ahmed, Yousif, Yousif, Ibrahim, Ahmed, Rashed, Essam A., Mabrok, Mohamed
Stroke segmentation plays a crucial role in the diagnosis and treatment of stroke patients by providing spatial information about affected brain regions and the extent of damage. Segmenting stroke lesions accurately is a challenging task, given that
Externí odkaz:
http://arxiv.org/abs/2403.17177
Autor:
Jacobs, Sven, Hardebusch, Timo, Franke, Esther, Peters, Henning, Amin, Rashed Al, Wiese, Veit, Jaschke, Steffen
This work-in-progress paper presents the current development of a new collaborative remote laboratory platform. The results are intended to serve as a foundation for future research on collaborative work in remote laboratories. Our platform, standing
Externí odkaz:
http://arxiv.org/abs/2403.06207