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pro vyhledávání: '"Deodhar A"'
Deep Operator Networks (DeepONets) and their physics-informed variants have shown significant promise in learning mappings between function spaces of partial differential equations, enhancing the generalization of traditional neural networks. However
Externí odkaz:
http://arxiv.org/abs/2406.14715
Autor:
Majumdar, Ritam, Jadhav, Vishal, Deodhar, Anirudh, Karande, Shirish, Vig, Lovekesh, Runkana, Venkataramana
Physics-informed neural networks (PINNs) have been widely used to develop neural surrogates for solutions of Partial Differential Equations. A drawback of PINNs is that they have to be retrained with every change in initial-boundary conditions and PD
Externí odkaz:
http://arxiv.org/abs/2308.09290
Autor:
Atwood, James, Tian, Tina, Packer, Ben, Deodhar, Meghana, Chen, Jilin, Beutel, Alex, Prost, Flavien, Beirami, Ahmad
Despite the rich literature on machine learning fairness, relatively little attention has been paid to remediating complex systems, where the final prediction is the combination of multiple classifiers and where multiple groups are present. In this p
Externí odkaz:
http://arxiv.org/abs/2307.05728
Autor:
Victoria Navarro-Compán, Atul Deodhar, Rachid Bahiri, Andrew G. Bushmakin, Joseph C. Cappelleri, Jihane Rammaoui
Publikováno v:
Arthritis Research & Therapy, Vol 26, Iss 1, Pp 1-11 (2024)
Abstract Background Tofacitinib is an oral Janus kinase inhibitor for treatment of ankylosing spondylitis (AS). Time to improvement in core domains of AS was estimated in tofacitinib-treated patients with AS. Methods This post hoc analysis used phase
Externí odkaz:
https://doaj.org/article/8c1617d1f06045b4bfa00d63dc2afbfb
Autor:
Lars Erik Kristensen, Atul Deodhar, Ying-Ying Leung, Ivana Vranic, Mahta Mortezavi, Lara Fallon, Arne Yndestad, Cassandra D. Kinch, Dafna D. Gladman
Publikováno v:
Rheumatology and Therapy, Vol 11, Iss 3, Pp 487-499 (2024)
Abstract In this commentary, we review clinical data which helps inform individualized benefit–risk assessment for tofacitinib in patients with psoriatic arthritis (PsA) and ankylosing spondylitis (AS). ORAL Surveillance, a safety trial of patients
Externí odkaz:
https://doaj.org/article/0dfdf61802f742879087a07fe9f0706d
Autor:
Ruth Brookman, Zac Hulm, Leigh Hearn, Joyce Siette, Nitish Mathew, Saili Deodhar, Angela Cass, Jamilla Smith, Belinda Kenny, Karen P. Y. Liu, Celia B. Harris
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background The transition into residential aged care is frequently associated with a reduction in physical activity, social engagement, and emotional wellbeing. Our aim was to evaluate the impact of a 26-day international cycling competition
Externí odkaz:
https://doaj.org/article/1efe88b842dd4e52aaa55582c480ae87
Publikováno v:
Clinical, Cosmetic and Investigational Dermatology, Vol 2015, Iss default, Pp 563-569 (2015)
B Truong,1,* N Rich-Garg,2,* BD Ehst,1 AA Deodhar,2 JH Ku,2 K Vakil-Gilani,2 A Danve,2 A Blauvelt,1,3 1Department of Dermatology, Oregon Health and Science University, 2Division of Arthritis and Rheumatic Diseases, Oregon Health and Science Universit
Externí odkaz:
https://doaj.org/article/534f0c169d9c486283fa6b84444c3505
Autor:
Majumdar, Ritam, Jadhav, Vishal, Deodhar, Anirudh, Karande, Shirish, Vig, Lovekesh, Runkana, Venkataramana
Physics-informed Neural Networks (PINNs) have been widely used to obtain accurate neural surrogates for a system of Partial Differential Equations (PDE). One of the major limitations of PINNs is that the neural solutions are challenging to interpret,
Externí odkaz:
http://arxiv.org/abs/2303.07009
Autor:
Gupta, Samrat, Deodhar, Swanand
Publikováno v:
Information Technology & People, 2021, Vol. 37, Issue 2, pp. 919-943.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ITP-10-2020-0682
Autor:
Saraf, Mandar, Chinnappan, Pandi Raj, Deodhar, Aditya, Jangra, Mamta, Krishnamoorthi, J., Majumder, Gobinda, Padmavathy, Veera, Ravindran, K. C., Shah, Raj Bhupen, Shinde, Ravindra, Satyanarayana, B.
Publikováno v:
JINST, 18, (2023), P05003
The INO collaboration is designing a cosmic muon veto detector (CMVD) to cover the mini-ICAL detector which is operational at the IICHEP transit campus, Madurai in South India. The aim of the CMVD is to study the feasibility of building an experiment
Externí odkaz:
http://arxiv.org/abs/2301.12486