Zobrazeno 1 - 10
of 2 454
pro vyhledávání: '"P. Patro"'
Autor:
Tawfik, Kareem O., Khan, Mohammad M. R., Patro, Ankita, Smetak, Miriam R., Haynes, David, Labadie, Robert F., Gifford, René H., Noble, Jack H.
Hypothesis: Pre-operative cochlear implant (CI) electrode array (EL) insertion plans created by automated image analysis methods can improve positioning of slim pre-curved EL. Background: This study represents the first evaluation of a system for pat
Externí odkaz:
http://arxiv.org/abs/2410.18366
Autor:
Roy, Sujit, Singh, Talwinder, Freitag, Marcus, Schmude, Johannes, Lal, Rohit, Hegde, Dinesha, Ranjan, Soumya, Lin, Amy, Gaur, Vishal, Vos, Etienne Eben, Ghosal, Rinki, Patro, Badri Narayana, Aydin, Berkay, Pogorelov, Nikolai, Moreno, Juan Bernabe, Maskey, Manil, Ramachandran, Rahul
Deep learning-based methods have been widely researched in the areas of language and vision, demonstrating their capacity to understand long sequences of data and their usefulness in numerous helio-physics applications. Foundation models (FMs), which
Externí odkaz:
http://arxiv.org/abs/2410.10841
Given a Boolean function $f:\{0,1\}^n\to\{0,1\}$, the goal in the usual query model is to compute $f$ on an unknown input $x \in \{0,1\}^n$ while minimizing the number of queries to $x$. One can also consider a "distinguishing" problem denoted by $f_
Externí odkaz:
http://arxiv.org/abs/2408.12595
Autor:
P. Patro, S. Garnayak
Publikováno v:
International Journal of Applied Mechanics and Engineering, Vol 25, Iss 1, Pp 127-141 (2020)
In the present study, heat transfer from a small three dimensional rectangular channel due to turbulent jet impinging from a nozzle normal to the main flow at the inlet has been investigated. Hemispherical convex dimples are attached to the bottom pl
Externí odkaz:
https://doaj.org/article/eda4ad3490ed4936987987e85dfe706b
Hate detection has long been a challenging task for the NLP community. The task becomes complex in a code-mixed environment because the models must understand the context and the hate expressed through language alteration. Compared to the monolingual
Externí odkaz:
http://arxiv.org/abs/2405.20755
Autor:
Patro, Satyabrata, Tripathi, Anurag
The inertial number-based rheology, popularly known as the JFP model, is well known for describing the rheology of granular materials in the dense flow regime. While most of the recent studies focus on the steady-state rheology of granular materials,
Externí odkaz:
http://arxiv.org/abs/2405.09069
Publikováno v:
LREC-COLING 2024
The absence of explicitly tailored, accessible annotated datasets for educational purposes presents a notable obstacle for NLP tasks in languages with limited resources.This study initially explores the feasibility of using machine translation (MT) t
Externí odkaz:
http://arxiv.org/abs/2404.17194
Sequence modeling is a crucial area across various domains, including Natural Language Processing (NLP), speech recognition, time series forecasting, music generation, and bioinformatics. Recurrent Neural Networks (RNNs) and Long Short Term Memory Ne
Externí odkaz:
http://arxiv.org/abs/2404.16112
Transformers have revolutionized image modeling tasks with adaptations like DeIT, Swin, SVT, Biformer, STVit, and FDVIT. However, these models often face challenges with inductive bias and high quadratic complexity, making them less efficient for hig
Externí odkaz:
http://arxiv.org/abs/2403.18063
Autor:
Patro, Badri N., Agneeswaran, Vijay S.
Transformers have widely adopted attention networks for sequence mixing and MLPs for channel mixing, playing a pivotal role in achieving breakthroughs across domains. However, recent literature highlights issues with attention networks, including low
Externí odkaz:
http://arxiv.org/abs/2403.15360