Zobrazeno 1 - 10
of 717
pro vyhledávání: '"P. Harshitha"'
Automatic syllable stress detection is a crucial component in Computer-Assisted Language Learning (CALL) systems for language learners. Current stress detection models are typically trained on clean speech, which may not be robust in real-world scena
Externí odkaz:
http://arxiv.org/abs/2412.08306
Cryptocurrencies are highly volatile financial instruments with more and more new retail investors joining the scene with each passing day. Bitcoin has always proved to determine in which way the rest of the cryptocurrency market is headed towards. A
Externí odkaz:
http://arxiv.org/abs/2411.13586
Autor:
Hosseini, S. Elaheh, Eckart, Andreas, Zajaček, Michal, Britzen, Silke, Bhat, Harshitha K., Karas, Vladimír
Publikováno v:
The Astrophysical Journal, Volume 975, Issue 2, id.261, 15 pp., 2024
We focus on a sample of 42 sources in the vicinity of the bow-shock source IRS 1W (N-sources), located at the distance of $6.05''$ north-east of the supermassive black hole (SMBH) Sagittarius A* (Sgr A*), within the radius of $1.35''$. We present the
Externí odkaz:
http://arxiv.org/abs/2411.08970
The detection of bias in natural language processing (NLP) is a critical challenge, particularly with the increasing use of large language models (LLMs) in various domains. This paper introduces GUS-Net, an innovative approach to bias detection that
Externí odkaz:
http://arxiv.org/abs/2410.08388
Autor:
Kuntal Das, Syed Mohammed Basheeruddin Asdaq, M. Saifulla Khan, S. Amrutha, Abdulhakeem Alamri, Majid Alhomrani, Walaa F. Alsanie, Aparana Bhaskar, G. Chandana shree, P. Harshitha
Publikováno v:
Journal of King Saud University: Science, Vol 34, Iss 7, Pp 102261- (2022)
Background: Inflammation is an unpleasant complex biological condition that is with macrophages, leucocytes, and even mast cells. Many marketed effective chemical anti-inflammatory drugs are available but due to many disadvantages people are relying
Externí odkaz:
https://doaj.org/article/a965576b7ac844fb9bacc7a7150e2b78
Autor:
Fink, Zane, Parasyris, Konstantinos, Rathi, Praneet, Georgakoudis, Giorgis, Menon, Harshitha, Bremer, Peer-Timo
Recent advancements in Machine Learning (ML) have substantially improved its predictive and computational abilities, offering promising opportunities for surrogate modeling in scientific applications. By accurately approximating complex functions wit
Externí odkaz:
http://arxiv.org/abs/2407.18352
Soil microbial fuel cells (SMFCs) are an emerging technology which offer clean and renewable energy in environments where more traditional power sources, such as chemical batteries or solar, are not suitable. With further development, SMFCs show grea
Externí odkaz:
http://arxiv.org/abs/2406.16939
Autor:
Amadou, Abdoul Aziz, Singh, Vivek, Ghesu, Florin C., Kim, Young-Ho, Stanciulescu, Laura, Sai, Harshitha P., Sharma, Puneet, Young, Alistair, Rajani, Ronak, Rhode, Kawal
Transesophageal echocardiography (TEE) plays a pivotal role in cardiology for diagnostic and interventional procedures. However, using it effectively requires extensive training due to the intricate nature of image acquisition and interpretation. To
Externí odkaz:
http://arxiv.org/abs/2405.01409
Autor:
Nichols, Daniel, Polasam, Pranav, Menon, Harshitha, Marathe, Aniruddha, Gamblin, Todd, Bhatele, Abhinav
Optimizing scientific software is a difficult task because codebases are often large and complex, and performance can depend upon several factors including the algorithm, its implementation, and hardware among others. Causes of poor performance can o
Externí odkaz:
http://arxiv.org/abs/2404.18864
Autor:
Davis, Joshua H., Sivaraman, Pranav, Kitson, Joy, Parasyris, Konstantinos, Menon, Harshitha, Minn, Isaac, Georgakoudis, Giorgis, Bhatele, Abhinav
Portability is critical to ensuring high productivity in developing and maintaining scientific software as the diversity in on-node hardware architectures increases. While several programming models provide portability for diverse GPU platforms, they
Externí odkaz:
http://arxiv.org/abs/2402.08950