Zobrazeno 1 - 10
of 1 024
pro vyhledávání: '"Sireesha P"'
Autor:
Ganesh Pandian Balasubramanian, Saraswathi Simansalam, Sireesha Paruchuri, Lydia Lu Qing Yi, Jun Hao Chui
Publikováno v:
Clinical Epidemiology and Global Health, Vol 29, Iss , Pp 101673- (2024)
Background: Functional disability, defined as acquired difficulty in performing basic daily tasks or more complex tasks needed for independent living. Functional assessment among community dwelling elderly is critical due to the changes taking place
Externí odkaz:
https://doaj.org/article/5caf5fda871f4502992440d6a4aa35eb
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:
Shilpa Reddy, Sailaja Maddhuri, Pratibha Nallari, Venkateshwari Ananthapur, Srinivas Kalyani, Murali Krishna, Nirmala Cherkuri, Sireesha Patibandala
Publikováno v:
Egyptian Journal of Medical Human Genetics, Vol 22, Iss 1, Pp 1-11 (2021)
Abstract Background Type 1 diabetes mellitus (TIDM) is a polygenic disorder with the involvement of several genetic and environmental risk factors. Mutation in genes namely ABCC8 and KCNJ11 disrupt the potentiality of KATP channel and regulates the s
Externí odkaz:
https://doaj.org/article/c48c1a6b15ac42bb8e21574b29aca806
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:
Vijayakumar Arumugam, Shaima Kattungal Arunan, Ganesh Pandian Balasubramanian, Sireesha Paruchuri
Publikováno v:
Archives of Pharmacy Practice, Vol 7, Iss 4, Pp 142-148 (2016)
Background: Neonates are vulnerable population and at high risk of developing drug-related problems. The extremely low birth weight (ELBW) infants require extended hospital stay in the Neonatal Intensive Care Unit (NICU). This study was aimed to eval
Externí odkaz:
https://doaj.org/article/90af5d39858644d984ab3b7830fedb65
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