Zobrazeno 1 - 10
of 28 247
pro vyhledávání: '"Ashfaq AS"'
Autor:
Zaman, Rahid, Adnan, Ashfaq
Traumatic brain injuries (TBI) are considered a silent epidemic. It affects many people, from automobiles to sports to service members. In this study, we employed a musculoskeletal head-neck model to understand the effect of impact locations, charact
Externí odkaz:
http://arxiv.org/abs/2412.05192
Aligning Large Language Models (LLMs) traditionally relies on costly training and human preference annotations. Self-alignment seeks to reduce these expenses by enabling models to align themselves. To further lower costs and achieve alignment without
Externí odkaz:
http://arxiv.org/abs/2411.08733
As Systems of Systems evolve into increasingly complex networks, harnessing their collective potential becomes paramount. Traditional SoS engineering approaches lack the necessary programmability to develop third party SoS level behaviors. To address
Externí odkaz:
http://arxiv.org/abs/2410.17784
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