Zobrazeno 1 - 10
of 334 278
pro vyhledávání: '"Syed, A. A."'
Autor:
Rashid, Syed Md Mukit, Wu, Tianwei, Tu, Kai, Ishtiaq, Abdullah Al, Tanvir, Ridwanul Hasan, Dong, Yilu, Chowdhury, Omar, Hussain, Syed Rafiul
This paper proposes Proteus, a protocol state machine, property-guided, and budget-aware automated testing approach for discovering logical vulnerabilities in wireless protocol implementations. Proteus maintains its budget awareness by generating tes
Externí odkaz:
http://arxiv.org/abs/2409.02905
Autor:
Hossain, Raisa Bentay, Ahmed, Farid, Kobayashi, Kazuma, Koric, Seid, Abueidda, Diab, Alam, Syed Bahauddin
Effective real-time monitoring technique is crucial for detecting material degradation and maintaining the structural integrity of nuclear systems to ensure both safety and operational efficiency. Traditional physical sensor systems face limitations
Externí odkaz:
http://arxiv.org/abs/2410.13762
Autor:
Alamu, Opeyemi Sheu, Choque, Bismar Jorge Gutierrez, Rizvi, Syed Wajeeh Abbs, Hammed, Samah Badr, Medani, Isameldin Elamin, Siam, Md Kamrul, Tahir, Waqar Ahmad
Breast cancer remains a significant global health challenge, with prognosis and treatment decisions largely dependent on clinical characteristics. Accurate prediction of patient outcomes is crucial for personalized treatment strategies. This study em
Externí odkaz:
http://arxiv.org/abs/2410.13404
Methods for knowledge editing and unlearning in large language models seek to edit or remove undesirable knowledge or capabilities without compromising general language modeling performance. This work investigates how mechanistic interpretability --
Externí odkaz:
http://arxiv.org/abs/2410.12949
Rate splitting multiple access (RSMA) and reconfigurable intelligent surface (RIS) are two prospective technologies for improving the spectral and energy efficiency in future wireless communication systems. In this work, we investigate a rate splitti
Externí odkaz:
http://arxiv.org/abs/2410.12708
We introduce Shakti, a 2.5 billion parameter language model specifically optimized for resource-constrained environments such as edge devices, including smartphones, wearables, and IoT systems. Shakti combines high-performance NLP with optimized effi
Externí odkaz:
http://arxiv.org/abs/2410.11331
Tabular data, widely used in industries like healthcare, finance, and transportation, presents unique challenges for deep learning due to its heterogeneous nature and lack of spatial structure. This survey reviews the evolution of deep learning model
Externí odkaz:
http://arxiv.org/abs/2410.12034
Autor:
Piersanti, Roberto, Bradley, Ryan, Alid, Syed Yusuf, Quarteroni, Alfio, Dede', Luca, Trayanova, Natalia A.
A key component in developing atrial digital twins (ADT) - virtual representations of patients' atria - is the accurate prescription of myocardial fibers which are essential for the tissue characterization. Due to the difficulty of reconstructing atr
Externí odkaz:
http://arxiv.org/abs/2410.11601
Autor:
Zolfagharinejad, Mohamadreza, Büchel, Julian, Cassola, Lorenzo, Kinge, Sachin, Syed, Ghazi Sarwat, Sebastian, Abu, van der Wiel, Wilfred G.
With the rise of decentralized computing, as in the Internet of Things, autonomous driving, and personalized healthcare, it is increasingly important to process time-dependent signals at the edge efficiently: right at the place where the temporal dat
Externí odkaz:
http://arxiv.org/abs/2410.10434
Autor:
Veraldi, Daniele, Pierangeli, Davide, Gentilini, Silvia, Strinati, Marcello Calvanese, Sakellariou, Jason, Cummins, James S., Kamaletdinov, Airat, Syed, Marvin, Wang, Richard Zhipeng, Berloff, Natalia G., Karanikolopoulos, Dimitrios, Savvidis, Pavlos G., Conti, Claudio
Ising machines are an emerging class of hardware that promises ultrafast and energy-efficient solutions to NP-hard combinatorial optimization problems. Spatial photonic Ising machines (SPIMs) exploit optical computing in free space to accelerate the
Externí odkaz:
http://arxiv.org/abs/2410.10689