Zobrazeno 1 - 10
of 3 316
pro vyhledávání: '"Karthick P A"'
In the field of acoustic suspension or levitation of droplets against gravity, the application of Gorkov's acoustic radiation force for small particles (within the Rayleigh limit) or its extensions to larger ones (beyond the Rayleigh limit) is limite
Externí odkaz:
http://arxiv.org/abs/2412.06281
In prior research, we analyzed the backwards swimming motion of mosquito larvae, parameterized it, and replicated it in a Computational Fluid Dynamics (CFD) model. Since the parameterized swimming motion is copied from observed larvae, it is not nece
Externí odkaz:
http://arxiv.org/abs/2412.02702
Autor:
Song, Sangmim, Kodagoda, Sarath, Gunatilake, Amal, Carmichael, Marc G., Thiyagarajan, Karthick, Martin, Jodi
Navigation presents a significant challenge for persons with visual impairments (PVI). While traditional aids such as white canes and guide dogs are invaluable, they fall short in delivering detailed spatial information and precise guidance to desire
Externí odkaz:
http://arxiv.org/abs/2410.20666
This study investigates the efficacy of Low-Rank Adaptation (LoRA) in fine-tuning Earth Observation (EO) foundation models for flood segmentation. We hypothesize that LoRA, a parameter-efficient technique, can significantly accelerate the adaptation
Externí odkaz:
http://arxiv.org/abs/2409.09907
We take the perspective in which we want to design a downstream task (such as estimating vegetation coverage) on a certain area of interest (AOI) with a limited labeling budget. By leveraging an existing Foundation Model (FM) we must decide whether w
Externí odkaz:
http://arxiv.org/abs/2409.08744
Autor:
Thirisangu, Jeyapradhap, Rajendran, Varun Kumar, Selvakannan, Snekan, Jayakumar, Sujith, Hemachandran, E, Subramani, Karthick
We present a comprehensive theoretical framework governing the dynamics of droplets in acoustic fields, applicable to all droplet sizes, from the Rayleigh limit (D<
Externí odkaz:
http://arxiv.org/abs/2408.06092
Fault diagnosis (FD) is essential for maintaining operational safety and minimizing economic losses by detecting system abnormalities. Recently, deep learning (DL)-driven FD methods have gained prominence, offering significant improvements in precisi
Externí odkaz:
http://arxiv.org/abs/2408.05681
This paper explores speculative speech recognition (SSR), where we empower conventional automatic speech recognition (ASR) with speculation capabilities, allowing the recognizer to run ahead of audio. We introduce a metric for measuring SSR performan
Externí odkaz:
http://arxiv.org/abs/2407.04641
In this paper, we focus on addressing the constraints faced when applying LLMs to ASR. Recent works utilize prefixLM-type models, which directly apply speech as a prefix to LLMs for ASR. We have found that optimizing speech prefixes leads to better A
Externí odkaz:
http://arxiv.org/abs/2406.14701
We define two variants $e(G)$, $f(G)$ of the Davenport constant $d(G)$ of a finite group $G$, that is not necessarily abelian. These naturally arising constants aid in computing $d(G)$ and are of potential independent interest. We compute the constan
Externí odkaz:
http://arxiv.org/abs/2406.09210