Zobrazeno 1 - 10
of 28 372
pro vyhledávání: '"A, Ashfaq"'
Autor:
Ahmad, Murad, Ali, Liaqat, Imran, Muhammad, Rameez-ul-Islam, Ikram, Manzoor, Din, Rafi Ud, Ahmad, Ashfaq, Ahmad, Iftikhar
Hyperentangled states are highly efficient and resource economical. This is because they enhance the quantum information encoding capabilities due to the correlated engagement of more than one degree of freedom of the same quantum entity while keepin
Externí odkaz:
http://arxiv.org/abs/2408.16397
Autor:
Haider, Emman, Perez-Becker, Daniel, Portet, Thomas, Madan, Piyush, Garg, Amit, Ashfaq, Atabak, Majercak, David, Wen, Wen, Kim, Dongwoo, Yang, Ziyi, Zhang, Jianwen, Sharma, Hiteshi, Bullwinkel, Blake, Pouliot, Martin, Minnich, Amanda, Chawla, Shiven, Herrera, Solianna, Warreth, Shahed, Engler, Maggie, Lopez, Gary, Chikanov, Nina, Dheekonda, Raja Sekhar Rao, Jagdagdorj, Bolor-Erdene, Lutz, Roman, Lundeen, Richard, Westerhoff, Tori, Bryan, Pete, Seifert, Christian, Kumar, Ram Shankar Siva, Berkley, Andrew, Kessler, Alex
Recent innovations in language model training have demonstrated that it is possible to create highly performant models that are small enough to run on a smartphone. As these models are deployed in an increasing number of domains, it is critical to en
Externí odkaz:
http://arxiv.org/abs/2407.13833
Accurately estimating the position of a patient's side robotic arm in real time in a remote surgery task is a significant challenge, particularly in Tactile Internet (TI) environments. This paper presents a Kalman Filter (KF) based computationally ef
Externí odkaz:
http://arxiv.org/abs/2406.04503
Autor:
Salehin, Md Ashfaq
In this work, an advanced deep reinforcement learning architecture is used to train neural network agents playing atari games. Given only the raw game pixels, action space, and reward information, the system can train agents to play any Atari game. A
Externí odkaz:
http://arxiv.org/abs/2405.13960
Autor:
Al-Subaiey, Abdulla, Al-Thani, Mohammed, Alam, Naser Abdullah, Antora, Kaniz Fatema, Khandakar, Amith, Zaman, SM Ashfaq Uz
Phishing emails continue to pose a significant threat, causing financial losses and security breaches. This study addresses limitations in existing research, such as reliance on proprietary datasets and lack of real-world application, by proposing a
Externí odkaz:
http://arxiv.org/abs/2405.11619
In the 6G era, integrating Mobile Edge Computing (MEC) and Digital Twin (DT) technologies presents a transformative approach to enhance network performance through predictive, adaptive control for energy-efficient, low-latency communication. This pap
Externí odkaz:
http://arxiv.org/abs/2405.06507
The complexity and dynamic nature of System of Systems (SoS) necessitate efficient communication mechanisms to ensure interoperability and collaborative functioning among constituent systems, termed holons. This paper proposes an innovative approach
Externí odkaz:
http://arxiv.org/abs/2405.05365
Publikováno v:
2024 International Wireless Communications and Mobile Computing (IWCMC)
Massive multiple input multiple output (M-MIMO) technology plays a pivotal role in fifth-generation (5G) and beyond communication systems, offering a wide range of benefits, from increased spectral efficiency (SE) to enhanced energy efficiency and hi
Externí odkaz:
http://arxiv.org/abs/2404.19238
Autor:
Wang, Xiao, Liu, Siyan, Tsaris, Aristeidis, Choi, Jong-Youl, Aji, Ashwin, Fan, Ming, Zhang, Wei, Yin, Junqi, Ashfaq, Moetasim, Lu, Dan, Balaprakash, Prasanna
Earth system predictability is challenged by the complexity of environmental dynamics and the multitude of variables involved. Current AI foundation models, although advanced by leveraging large and heterogeneous data, are often constrained by their
Externí odkaz:
http://arxiv.org/abs/2404.14712
Autor:
Tsaris, Aristeidis, Zhang, Chengming, Wang, Xiao, Yin, Junqi, Liu, Siyan, Ashfaq, Moetasim, Fan, Ming, Choi, Jong Youl, Wahib, Mohamed, Lu, Dan, Balaprakash, Prasanna, Wang, Feiyi
Vision Transformers (ViTs) are pivotal for foundational models in scientific imagery, including Earth science applications, due to their capability to process large sequence lengths. While transformers for text has inspired scaling sequence lengths i
Externí odkaz:
http://arxiv.org/abs/2405.15780