Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Gurrapu P"'
Autor:
Gurrapu, Sai, Kulkarni, Ajay, Huang, Lifu, Lourentzou, Ismini, Freeman, Laura, Batarseh, Feras A.
Publikováno v:
Published at Frontiers in Artificial Intelligence Journal 2023
Recent advances in deep learning have improved the performance of many Natural Language Processing (NLP) tasks such as translation, question-answering, and text classification. However, this improvement comes at the expense of model explainability. B
Externí odkaz:
http://arxiv.org/abs/2301.08912
With the advent of deep learning, text generation language models have improved dramatically, with text at a similar level as human-written text. This can lead to rampant misinformation because content can now be created cheaply and distributed quick
Externí odkaz:
http://arxiv.org/abs/2301.08914
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 13, Iss 3, Pp 864-868 (2024)
Background: Older persons occasionally or permanently relocate from their own houses to institutions or old-age homes as a result of the current socio-demographic changes and circumstances. In this scenario, the current study aimed to assess the perc
Externí odkaz:
https://doaj.org/article/740d37652b0b4574a4cc24850007a670
Autor:
Gurrapu, Sai, Batarseh, Feras A., Wang, Pei, Sikder, Md Nazmul Kabir, Gorentala, Nitish, Munisamy, Gopinath
Quantitative metrics that measure the global economy's equilibrium have strong and interdependent relationships with the agricultural supply chain and international trade flows. Sudden shocks in these processes caused by outlier events such as trade
Externí odkaz:
http://arxiv.org/abs/2110.12062
Autor:
Hernán González‐King, Patricia G. Rodrigues, Tamsin Albery, Benyapa Tangruksa, Ramya Gurrapu, Andreia M. Silva, Gentian Musa, Dominika Kardasz, Kai Liu, Bengt Kull, Karin Åvall, Katarina Rydén‐Markinhuhta, Tania Incitti, Nitin Sharma, Cecilia Graneli, Hadi Valadi, Kasparas Petkevicius, Miguel Carracedo, Sandra Tejedor, Alena Ivanova, Sepideh Heydarkhan‐Hagvall, Phillipe Menasché, Jane Synnergren, Niek Dekker, Qing‐Dong Wang, Karin Jennbacken
Publikováno v:
Journal of Extracellular Vesicles, Vol 13, Iss 5, Pp n/a-n/a (2024)
Abstract Small extracellular vesicles (sEV) derived from various cell sources have been demonstrated to enhance cardiac function in preclinical models of myocardial infarction (MI). The aim of this study was to compare different sources of sEV for ca
Externí odkaz:
https://doaj.org/article/c768354e5bb04d27b8a38ee892355c5b
Since the epidemic began in November 2019, no viable medicine against SARS-CoV-2 has been discovered. The typical medication discovery strategy requires several years of rigorous research and development as well as a significant financial commitment,
Externí odkaz:
http://arxiv.org/abs/2106.05440
The COVID-19 pandemic triggered by SARS-CoV-2 is a worldwide health disaster. Main protease is an attractive drug target among coronaviruses, due to its vital role in processing the polyproteins that are translated from the viral RNA. There is presen
Externí odkaz:
http://arxiv.org/abs/2004.12055
With advancements in deep model architectures, tasks in computer vision can reach optimal convergence provided proper data preprocessing and model parameter initialization. However, training on datasets with low feature-richness for complex applicati
Externí odkaz:
http://arxiv.org/abs/2003.08743
Autor:
Sangeetha Lakshmi Boju, Peddanna Kotha, A Nasreen, Swapna Gurrapu, Estari Mamidala, R Ram, Srilatha Chintamaneni, Appa Rao Chippada, Siva Kumar Vishnubhotla
Publikováno v:
Saudi Journal of Kidney Diseases and Transplantation, Vol 34, Iss 6, Pp 613-624 (2023)
Diabetic renal injury is a microvascular complication associated with inflammation and oxidative stress, culminating in renal dysfunction. Conventionally, it is treated with hypoglycemic agents to address metabolic perturbations. However, the way to
Externí odkaz:
https://doaj.org/article/4e3d8d656640431f866cbd2dbdf36757
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
Recent advances in deep learning have improved the performance of many Natural Language Processing (NLP) tasks such as translation, question-answering, and text classification. However, this improvement comes at the expense of model explainability. B
Externí odkaz:
https://doaj.org/article/2a5ae2ba3cf24cd28c52398fc232bd8e