Zobrazeno 1 - 10
of 230 142
pro vyhledávání: '"A A, Aziz"'
This work takes a pedagogical lens to explore the implications of generative AI (GenAI) models and tools, such as ChatGPT and GitHub Copilot, in a semester-long 2nd-year undergraduate Software Engineering Team Project. Qualitative findings from surve
Externí odkaz:
http://arxiv.org/abs/2410.23069
To unlock access to stronger winds, the offshore wind industry is advancing with significantly larger and taller wind turbines. This massive upscaling motivates a departure from univariate wind forecasting methods that traditionally focused on a sing
Externí odkaz:
http://arxiv.org/abs/2410.20166
Autor:
Abdulla, Parosh Aziz, Chen, Yo-Ga, Chen, Yu-Fang, Holík, Lukáš, Lengál, Ondřej, Lin, Jyun-Ao, Lo, Fang-Yi, Tsai, Wei-Lun
We present a new method for the verification of quantum circuits based on a novel symbolic representation of sets of quantum states using level-synchronized tree automata (LSTAs). LSTAs extend classical tree automata by labeling each transition with
Externí odkaz:
http://arxiv.org/abs/2410.18540
This paper presents an innovative in-pixel contrast enhancement circuit that performs image processing directly within the pixel circuit. The circuit can be tuned for different modes of operation. In foreground enhancement mode, it suppresses low-int
Externí odkaz:
http://arxiv.org/abs/2410.18052
This paper presents and analyzes two robust, efficient, and optimally accurate fully discrete finite element algorithms for computing the parameterized Navier-Stokes Equations (NSEs) flow ensemble. The timestepping algorithms are linearized, use the
Externí odkaz:
http://arxiv.org/abs/2410.15510
Large language models (LLMs) are increasingly relied upon to solve complex mathematical word problems. However, being susceptible to hallucination, they may generate inaccurate results when presented with unanswerable questions, raising concerns abou
Externí odkaz:
http://arxiv.org/abs/2410.13029
The lack of an automated online platform for reporting citizens' complaints, coupled with the city corporations' struggles in managing them, presents significant challenges. Furthermore, the availability of resources is very limited to higher authori
Externí odkaz:
http://arxiv.org/abs/2410.12882
Autor:
Alam, Shamiul, Thomann, Simon, Parihar, Shivendra Singh, Chauhan, Yogesh Singh, Ni, Kai, Amrouch, Hussam, Aziz, Ahmedullah
Ternary content addressable memories (TCAMs) are useful for certain computing tasks since they allow us to compare a search query with a whole dataset stored in the memory array. They can also unlock unique advantages for cryogenic applications like
Externí odkaz:
http://arxiv.org/abs/2410.11091
Autor:
Amadou, Abdoul Aziz, Zhang, Yue, Piat, Sebastien, Klein, Paul, Schmuecking, Ingo, Passerini, Tiziano, Sharma, Puneet
Quantitative evaluation of echocardiography is essential for precise assessment of cardiac condition, monitoring disease progression, and guiding treatment decisions. The diverse nature of echo images, including variations in probe types, manufacture
Externí odkaz:
http://arxiv.org/abs/2410.11092
In contexts with limited computational and data resources, high-resource language models often prove inadequate, particularly when addressing the specific needs of Malay languages. This paper introduces a Personal Intelligence System designed to effi
Externí odkaz:
http://arxiv.org/abs/2410.06973