Zobrazeno 1 - 10
of 14 468
pro vyhledávání: '"A. Muralidhar"'
Autor:
K. Raveendra Reddy, A. Muralidhar
Publikováno v:
IEEE Access, Vol 11, Pp 112108-112122 (2023)
This systematic literature review aims to investigate the current state-of-the-art in machine learning (ML) based road traffic analysis, hindrance estimation, and predicting vehicle safety measures for the Internet of Vehicles (IoV). Specifically, we
Externí odkaz:
https://doaj.org/article/7d1dfcb4c2b5485d9f06a1cbc11ffcd4
Autor:
Rajput, Kunwar Pritiraj, R., Bhavani Shankar M., Mishra, Kumar Vijay, Rangaswamy, Muralidhar, Ottersten, Bjorn
A cognitive fully adaptive radar (CoFAR) adapts its behavior on its own within a short period of time in response to changes in the target environment. For the CoFAR to function properly, it is critical to understand its operating environment through
Externí odkaz:
http://arxiv.org/abs/2408.06078
The coupling between excitons and phonons across adjacent layers has been experimentally observed in various heterostructures of layered materials. Yet the precise mechanism underlying this phenomenon remains elusive. Using the WSe$_2$@hBN heterostru
Externí odkaz:
http://arxiv.org/abs/2407.16111
Autor:
Muralidhar, Krish, Ruggles, Steven
In 2017, the United States Census Bureau announced that because of high disclosure risk in the methodology (data swapping) used to produce tabular data for the 2010 census, a different protection mechanism based on differential privacy would be used
Externí odkaz:
http://arxiv.org/abs/2407.15957
Autor:
Cornwall, Patrick, Ballester, Manuel, Forschner, Stefan, Balaji, Muralidhar Madabhushi, Katsaggelos, Aggelos, Willomitzer, Florian
Light-in-flight (LiF) measurements allow to resolve and visualize the path that light travels through an arbitrary volumetric scene. Traditional LiF methods involve expensive high-speed electronics or narrow-pulse light sources. We present a novel co
Externí odkaz:
http://arxiv.org/abs/2407.07872
Publikováno v:
Symmetry, Vol 15, Iss 2, p 379 (2023)
The digestive tract, often known as the gastrointestinal (GI) tract or the gastrointestinal system, is affected by digestive ailments. The stomach, large and small intestines, liver, pancreas and gallbladder are all components of the digestive tract.
Externí odkaz:
https://doaj.org/article/6eb971f30d6b4dd9b80894ab548b53b7
Autor:
Xu, Shengzhe, Lee, Cho-Ting, Sharma, Mandar, Yousuf, Raquib Bin, Muralidhar, Nikhil, Ramakrishnan, Naren
Large language models (LLMs) have demonstrated their prowess in generating synthetic text and images; however, their potential for generating tabular data -- arguably the most common data type in business and scientific applications -- is largely und
Externí odkaz:
http://arxiv.org/abs/2406.14541
The pretraining-fine-tuning paradigm has been the de facto strategy for transfer learning in modern language modeling. With the understanding that task adaptation in LMs is often a function of parameters shared across tasks, we argue that a more surg
Externí odkaz:
http://arxiv.org/abs/2406.14005
Autor:
Venkatasubramanian, Shyam, Kang, Bosung, Pezeshki, Ali, Rangaswamy, Muralidhar, Tarokh, Vahid
This work presents a large-scale dataset for radar adaptive signal processing (RASP) applications, aimed at supporting the development of data-driven models within the radar community. The dataset, called RASPNet, consists of 100 realistic scenarios
Externí odkaz:
http://arxiv.org/abs/2406.09638
Autor:
Alemán, A., Awad, A. A., Muralidhar, S., Khymyn, R., Kumar, A., Houshang, A., Hanstorp, D., Åkerman, J.
Optical heterodyne detection is a powerful technique for characterizing a wide range of physical excitations. Here, we use two types of optical heterodyne detection techniques (fundamental and parametric pumping) to microscopically characterize the h
Externí odkaz:
http://arxiv.org/abs/2406.01155