Zobrazeno 1 - 10
of 278 289
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
The work reports nonmagnetic behavior (0.04 $\mu$B) in two-dimensional (2D) V2C-OF MXene and ferromagnetism in MnO$_2$ adsorbed V2C-OF MXene. The density functional theory (DFT) calculations were carried out to study the magnetic moments of V$_2$C-OF
Externí odkaz:
http://arxiv.org/abs/2411.09536
This work addresses the fundamental linear inverse problem in compressive sensing (CS) by introducing a new type of regularizing generative prior. Our proposed method utilizes ideas from classical dictionary-based CS and, in particular, sparse Bayesi
Externí odkaz:
http://arxiv.org/abs/2411.09483
Software engineers are integrating AI assistants into their workflows to enhance productivity and reduce cognitive strain. However, experiences vary significantly, with some engineers finding large language models (LLMs), like ChatGPT, beneficial, wh
Externí odkaz:
http://arxiv.org/abs/2411.09916
Autor:
Pan, Syed W. Shah. Lei, Nguyen, Din Duc Nha, Doss, Robin, Armstrong, Warren, Gauravaram, Praveen
DNSSEC, a DNS security extension, is essential to accurately translating domain names to IP addresses. Digital signatures provide the foundation for this reliable translation, however, the evolution of 'Quantum Computers' has made traditional digital
Externí odkaz:
http://arxiv.org/abs/2411.07535
When training data are distributed across{ time or space,} covariate shift across fragments of training data biases cross-validation, compromising model selection and assessment. We present \textit{Fragmentation-Induced covariate-shift Remediation} (
Externí odkaz:
http://arxiv.org/abs/2411.06499
Autor:
Masood, Syed, Mikki, Said
Lorentz invariance violation (LIV) is a topic of significant interest in quantum gravity and in extensions of the Standard Model of particle physics. Recently, new classes of black hole solutions have been proposed, involving vector fields and rank-t
Externí odkaz:
http://arxiv.org/abs/2411.06188
This systematic review explores the theoretical foundations, evolution, applications, and future potential of Kolmogorov-Arnold Networks (KAN), a neural network model inspired by the Kolmogorov-Arnold representation theorem. KANs distinguish themselv
Externí odkaz:
http://arxiv.org/abs/2411.06078
Autor:
Hossain, Soaad, Rasalingam, James, Waheed, Arhum, Awil, Fatah, Kandiah, Rachel, Ahmed, Syed Ishtiaque
With the growing interest in using AI and machine learning (ML) in medicine, there is an increasing number of literature covering the application and ethics of using AI and ML in areas of medicine such as clinical psychiatry. The problem is that ther
Externí odkaz:
http://arxiv.org/abs/2411.05856
Autor:
Shah, Syed Najaf Haider, Semper, Sebastian, Khan, Aamir Ullah, Schneider, Christian, Robert, Joerg
Integrated Sensing and Communication (ISAC) is a technology paradigm that combines sensing capabilities with communication functionalities in a single device or system. In vehicle-to-everything (V2X) sidelink, ISAC can provide enhanced safety by allo
Externí odkaz:
http://arxiv.org/abs/2411.03191