Zobrazeno 1 - 10
of 7 465
pro vyhledávání: '"Vignesh, P."'
Autor:
de Rooij, Steven A. H., Fermin, Remko, Kouwenhoven, Kevin, Coppens, Tonny, Murugesan, Vignesh, Thoen, David J., Aarts, Jan, Baselmans, Jochem J. A., de Visser, Pieter J.
Disordered superconductors offer new impedance regimes for quantum circuits, enable a pathway to protected qubits and improve superconducting single photon detectors due to their high kinetic inductance and sheet resistance. However, the relaxation o
Externí odkaz:
http://arxiv.org/abs/2410.18802
Autor:
Damian, Belinda, Jose, Jessy, Das, Swagat R., Gupta, Saumya, Vaikundaraman, Vignesh, Ojha, D. K., Kartha, Sreeja S., Panwar, Neelam, Eswaraiah, Chakali
Young star-forming regions in massive environments are ideal test beds to study the influence of surroundings on the evolution of disks around low-mass stars. We explore two distant young clusters, IC 1848-East and West located in the massive W5 comp
Externí odkaz:
http://arxiv.org/abs/2410.18920
As AI emerged as highest valued technology, We used that to create a web application that makes a patient work easier .It detects the disease name based on the symptoms given by the patient and recommends medication for respective disease, precaution
Externí odkaz:
http://arxiv.org/abs/2410.17991
Autor:
Manivannan, Veeramakali Vignesh, Jafari, Yasaman, Eranky, Srikar, Ho, Spencer, Yu, Rose, Watson-Parris, Duncan, Ma, Yian, Bergen, Leon, Berg-Kirkpatrick, Taylor
The use of foundation models in climate science has recently gained significant attention. However, a critical issue remains: the lack of a comprehensive evaluation framework capable of assessing the quality and scientific validity of model outputs.
Externí odkaz:
http://arxiv.org/abs/2410.16701
In this study, we investigate the under-explored intervention planning aimed at disseminating accurate information within dynamic opinion networks by leveraging learning strategies. Intervention planning involves identifying key nodes (search) and ex
Externí odkaz:
http://arxiv.org/abs/2410.14091
Recent progress in audio-language modeling, such as automated audio captioning, has benefited from training on synthetic data generated with the aid of large-language models. However, such approaches for environmental sound captioning have primarily
Externí odkaz:
http://arxiv.org/abs/2410.12028
This paper compares scale-invariant (SIFT) and scale-variant (ORB) feature detection methods, alongside our novel feature detector, IntFeat, specifically applied to lunar imagery. We evaluate these methods using low (128x128) and high-resolution (102
Externí odkaz:
http://arxiv.org/abs/2410.11118
Autor:
Hsu, Pin-Lun, Dai, Yun, Kothapalli, Vignesh, Song, Qingquan, Tang, Shao, Zhu, Siyu, Shimizu, Steven, Sahni, Shivam, Ning, Haowen, Chen, Yanning
Training Large Language Models (LLMs) efficiently at scale presents a formidable challenge, driven by their ever-increasing computational demands and the need for enhanced performance. In this work, we introduce Liger-Kernel, an open-sourced set of T
Externí odkaz:
http://arxiv.org/abs/2410.10989
Autor:
Viswanathan, Vignesh Kottayam, Sumathy, Vidya, Kanellakis, Christoforos, Nikolakopoulos, George
In this work, we present an autonomous inspection framework for remote sensing tasks in active open-pit mines. Specifically, the contributions are focused towards developing a methodology where an initial approximate operator-defined inspection plan
Externí odkaz:
http://arxiv.org/abs/2410.10256
Autor:
Sundaresha, Vignesh, Shanbhag, Naresh
The ubiquitous deployment of deep learning systems on resource-constrained Edge devices is hindered by their high computational complexity coupled with their fragility to out-of-distribution (OOD) data, especially to naturally occurring common corrup
Externí odkaz:
http://arxiv.org/abs/2410.07691