Zobrazeno 1 - 10
of 41 319
pro vyhledávání: '"Sunny So"'
Crucial for star formation is the interplay between gravity and turbulence. The observed cloud virial parameter, $\alpha_{\mathrm{vir}}$, which is the ratio of twice the turbulent kinetic energy to the gravitational energy, is found to vary significa
Externí odkaz:
http://arxiv.org/abs/2410.13137
Let $A$ be the path algebra of a quiver of Dynkin type $\mathbb{A}_n$. The module category $\text{mod}\,A$ has a combinatorial model as the category of diagonals in a polygon $S$ with $n+1$ vertices. The recently introduced notion of almost rigid mod
Externí odkaz:
http://arxiv.org/abs/2410.04627
Autor:
Kashyap, Pankhi, Tandon, Pavni, Gupta, Sunny, Tiwari, Abhishek, Kulkarni, Ritwik, Jadhav, Kshitij Sharad
Long-tailed problems in healthcare emerge from data imbalance due to variability in the prevalence and representation of different medical conditions, warranting the requirement of precise and dependable classification methods. Traditional loss funct
Externí odkaz:
http://arxiv.org/abs/2410.04084
Federated Learning (FL) facilitates data privacy by enabling collaborative in-situ training across decentralized clients. Despite its inherent advantages, FL faces significant challenges of performance and convergence when dealing with data that is n
Externí odkaz:
http://arxiv.org/abs/2410.03499
In response to the increasing mental health challenges faced by college students, we sought to understand their perspectives on how AI applications, particularly Large Language Models (LLMs), can be leveraged to enhance their mental well-being. Throu
Externí odkaz:
http://arxiv.org/abs/2409.17572
Federated learning faces a critical challenge in balancing communication efficiency with rapid convergence, especially for second-order methods. While Newton-type algorithms achieve linear convergence in communication rounds, transmitting full Hessia
Externí odkaz:
http://arxiv.org/abs/2409.15216
Autor:
Mistry, Sahaj K., Saini, Sourav, Gupta, Aashray, Gupta, Aayush, Rai, Sunny, Jakhetiya, Vinit, Baid, Ujjwal, Guntuku, Sharath Chandra
Brain tumor segmentation plays a crucial role in computer-aided diagnosis. This study introduces a novel segmentation algorithm utilizing a modified nnU-Net architecture. Within the nnU-Net architecture's encoder section, we enhance conventional conv
Externí odkaz:
http://arxiv.org/abs/2409.13229
Autor:
Katyara, Sunny, Sharma, Suchita, Damacharla, Praveen, Santiago, Carlos Garcia, Dhirani, Lubina, Chowdhry, Bhawani Shankar
As the manufacturing industry shifts from mass production to mass customization, there is a growing emphasis on adopting agile, resilient, and human-centric methodologies in line with the directives of Industry 5.0. Central to this transformation is
Externí odkaz:
http://arxiv.org/abs/2409.10784
Autor:
Hagopian, Raffi, Strebel, Timothy, Bernatz, Simon, Myers, Gregory A, Offerman, Erik, Zuniga, Eric, Kim, Cy Y, Ng, Angie T, Iwaz, James A, Singh, Sunny P, Carey, Evan P, Kim, Michael J, Schaefer, R Spencer, Yu, Jeannie, Gentili, Amilcare, Aerts, Hugo JWL
Coronary artery calcium (CAC) is highly predictive of cardiovascular events. While millions of chest CT scans are performed annually in the United States, CAC is not routinely quantified from scans done for non-cardiac purposes. A deep learning algor
Externí odkaz:
http://arxiv.org/abs/2409.09968
Autor:
Katyara, Sunny, Sharma, Suchita, Damacharla, Praveen, Santiago, Carlos Garcia, O'Farrell, Francis, Long, Philip
Designing an efficient and resilient human-robot collaboration strategy that not only upholds the safety and ergonomics of shared workspace but also enhances the performance and agility of collaborative setup presents significant challenges concernin
Externí odkaz:
http://arxiv.org/abs/2409.08166