Zobrazeno 1 - 10
of 20 364
pro vyhledávání: '"A, Chandrasekar"'
Anxiety is a common mental health condition characterised by excessive worry, fear and apprehension about everyday situations. Even with significant progress over the past few years, predicting anxiety from electroencephalographic (EEG) signals, spec
Externí odkaz:
http://arxiv.org/abs/2410.00028
We introduce $\texttt{ReMOVE}$, a novel reference-free metric for assessing object erasure efficacy in diffusion-based image editing models post-generation. Unlike existing measures such as LPIPS and CLIPScore, $\texttt{ReMOVE}$ addresses the challen
Externí odkaz:
http://arxiv.org/abs/2409.00707
Autor:
Church, Kenneth, Alonso, Omar, Vickers, Peter, Sun, Jiameng, Ebrahimi, Abteen, Chandrasekar, Raman
We argue that Content-based filtering (CBF) and Graph-based methods (GB) complement one another in Academic Search recommendations. The scientific literature can be viewed as a conversation between authors and the audience. CBF uses abstracts to infe
Externí odkaz:
http://arxiv.org/abs/2407.05836
Cascading failures represent a fundamental threat to the integrity of complex systems, often precipitating a comprehensive collapse across diverse infrastructures and financial networks. This research articulates a robust and pragmatic approach desig
Externí odkaz:
http://arxiv.org/abs/2406.18949
Autor:
Sriganesh, Prasanna, Maier, James, Johnson, Adam, Shirose, Burhanuddin, Chandrasekar, Rohan, Noren, Charles, Spisak, Joshua, Darnley, Ryan, Vundurthy, Bhaskar, Travers, Matthew
Field robotics applications, such as search and rescue, involve robots operating in large, unknown areas. These environments present unique challenges that compound the difficulties faced by a robot operator. The use of multi-robot teams, assisted by
Externí odkaz:
http://arxiv.org/abs/2404.17759
Autor:
Nguyen, Tiffany T., Jauregui, Cinthya, Sallee, Sarah H., Chandrasekar, Mohan R., A'Hearn, Liam, Woetzel, Dominic J., Paliwal, Pinak, Nguyen, Madison, Gomez, Isabella `Amne, Zhang, Xinqi, Panich, Lee M., Heitmuller, Danielle M., Lueck, Amy, Lukoff, Kai
In this position paper, we explore the power of storytelling and its connection to place through the use of Augmented Reality (AR) technology, particularly within the context of Th\'amien Ohlone history on the Santa Clara University campus. To do thi
Externí odkaz:
http://arxiv.org/abs/2404.12555
We consider a modified damped version of H\'enon-Heiles system and investigate its integrability. By extending the Painlev\'e analysis of ordinary differential equations we find that the modified H\'enon-Heiles system possesses the Painlev\'e propert
Externí odkaz:
http://arxiv.org/abs/2403.08410
Autor:
Backhus, Jana, Rao, Aniruddha Rajendra, Venkatraman, Chandrasekar, Padmanabhan, Abhishek, Kumar, A. Vinoth, Gupta, Chetan
In this study, we leverage SCADA data from diverse wind turbines to predict power output, employing advanced time series methods, specifically Functional Neural Networks (FNN) and Long Short-Term Memory (LSTM) networks. A key innovation lies in the e
Externí odkaz:
http://arxiv.org/abs/2403.00975
Recent developments in the field of diffusion models have demonstrated an exceptional capacity to generate high-quality prompt-conditioned image edits. Nevertheless, previous approaches have primarily relied on textual prompts for image editing, whic
Externí odkaz:
http://arxiv.org/abs/2403.00437