Zobrazeno 1 - 10
of 1 005
pro vyhledávání: '"P. Sireesha"'
Dysarthria is a motor speech disorder caused by neurological damage that affects the muscles used for speech production, leading to slurred, slow, or difficult-to-understand speech. It affects millions of individuals worldwide, including those with c
Externí odkaz:
http://arxiv.org/abs/2410.12867
Autor:
Chamarthi, Sireesha, Fogelberg, Katharina, Maron, Roman C., Brinker, Titus J., Niebling, Julia
The potential of deep neural networks in skin lesion classification has already been demonstrated to be on-par if not superior to the dermatologists diagnosis. However, the performance of these models usually deteriorates when the test data differs s
Externí odkaz:
http://arxiv.org/abs/2310.03432
Autor:
Fogelberg, Katharina, Chamarthi, Sireesha, Maron, Roman C., Niebling, Julia, Brinker, Titus J.
The limited ability of Convolutional Neural Networks to generalize to images from previously unseen domains is a major limitation, in particular, for safety-critical clinical tasks such as dermoscopic skin cancer classification. In order to translate
Externí odkaz:
http://arxiv.org/abs/2304.06968
Document summarization aims to create a precise and coherent summary of a text document. Many deep learning summarization models are developed mainly for English, often requiring a large training corpus and efficient pre-trained language models and t
Externí odkaz:
http://arxiv.org/abs/2212.12937
Autor:
Woodland, McKell, Wood, John, Anderson, Brian M., Kundu, Suprateek, Lin, Ethan, Koay, Eugene, Odisio, Bruno, Chung, Caroline, Kang, Hyunseon Christine, Venkatesan, Aradhana M., Yedururi, Sireesha, De, Brian, Lin, Yuan-Mao, Patel, Ankit B., Brock, Kristy K.
Publikováno v:
Lecture Notes in Computer Science 13570 (2022)
Although generative adversarial networks (GANs) have shown promise in medical imaging, they have four main limitations that impeded their utility: computational cost, data requirements, reliable evaluation measures, and training complexity. Our work
Externí odkaz:
http://arxiv.org/abs/2210.03786
Autor:
Marreddy, Mounika, Oota, Subba Reddy, Vakada, Lakshmi Sireesha, Chinni, Venkata Charan, Mamidi, Radhika
Graph Convolutional Networks (GCN) have achieved state-of-art results on single text classification tasks like sentiment analysis, emotion detection, etc. However, the performance is achieved by testing and reporting on resource-rich languages like E
Externí odkaz:
http://arxiv.org/abs/2205.01204
Autor:
Khandelwal, Akanksha, Chaturvedi, Priyanka, Chakraborty, Abhijit, Sharma, Rishikesh, Guenther, Eike. W., Persson, Carina M., Fridlund, Malcolm, Hatzes, Artie P., Prasad, Neelam J. S. S. V., Esposito, Massimiliano, Chamarthi, Sireesha, Nayak, Ashirbad, Dishendra, Howell, Steve B.
We report here the discovery of a hot Jupiter at an orbital period of $3.208666\pm0.000016$ days around TOI-1789 (TYC 1962-00303-1, $TESS_{mag}$ = 9.1) based on the TESS photometry, ground-based photometry, and high-precision radial velocity observat
Externí odkaz:
http://arxiv.org/abs/2106.08660
Autor:
Rayadurgam Sireesha, Manikandan Krishnan, Muhammad Sadiq, Munuswamy Ramanujam Ganesh, Chinnaperumal Kamaraj, Naiyf S. Alharbi, Muthu Thiruvengadam
Publikováno v:
Saudi Pharmaceutical Journal, Vol 31, Iss 12, Pp 101880- (2023)
Atherosclerosis is a complex condition that develops at varying rates in multiple configurations and blood vessels. The primary cause of morbidity and mortality worldwide, particularly in the industrialized nations, continues to be atherosclerosis. A
Externí odkaz:
https://doaj.org/article/bfdb245456b24cc8af7a22b88089442d
Publikováno v:
Journal of Taibah University for Science, Vol 17, Iss 1 (2023)
This paper presents the strength and micro-structural characteristics of high plasticity expansive clay stabilized with ordinary Portland cement (OPC) and geopolymers. Furthermore, sustainability aspects such as cost-efficiency, energy consumption an
Externí odkaz:
https://doaj.org/article/9e061db806b24550b9c0cb49f37f8cca
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