Zobrazeno 1 - 10
of 1 217
pro vyhledávání: '"P. Venkata Ramana"'
Autor:
Ganapathy, Nagarajan, Chary, Podakanti Satyajith, Pithani, Teja Venkata Ramana Kumar, Kavati, Pavan, S, Arun Kumar
This Paper presents an advanced approach for fine-tuning BiomedCLIP PubMedBERT, a multimodal model, to classify abnormalities in Video Capsule Endoscopy (VCE) frames, aiming to enhance diagnostic efficiency in gastrointestinal healthcare. By integrat
Externí odkaz:
http://arxiv.org/abs/2410.19944
Autor:
Comandur, Vinodhini, Vechalapu, Tulasi Ram, Makkapati, Venkata Ramana, Tsiotras, Panagiotis, Hutchinson, Seth
Desensitization addresses safe optimal planning under parametric uncertainties by providing sensitivity function-based risk estimates. This paper expands upon the existing work on desensitization in optimal control to address safe planning for a clas
Externí odkaz:
http://arxiv.org/abs/2309.09422
Publikováno v:
Transportation Research Part C: Emerging Technologies, 2024
Deep learning methods are emerging as popular computational tools for solving forward and inverse problems in traffic flow. In this paper, we study a neural operator framework for learning solutions to nonlinear hyperbolic partial differential equati
Externí odkaz:
http://arxiv.org/abs/2308.07051
Autor:
G. Anusha, P. Venkata Ramana
Publikováno v:
International Journal of Advances in Applied Mathematics and Mechanics, Vol 2, Iss 3, Pp 177-182 (2015)
Externí odkaz:
https://doaj.org/article/93ab08f3299348a283c9eaec1736922f
Autor:
Venkata Ramana Mallela, Phanindra Babu Kasi, Dattatrya Shetti, Andriy Trailin, Lenka Cervenkova, Richard Palek, Ondřej Daum, Vaclav Liska, Kari Hemminki, Filip Ambrozkiewicz
Publikováno v:
Non-coding RNA Research, Vol 9, Iss 4, Pp 1133-1139 (2024)
Hepatocellular carcinoma (HCC) is a challenging cancer with high mortality rates, limited predictability, and a lack of effective prognostic indicators. The relationship between small nucleolar RNAs (snoRNAs) and HCC is poorly understood. Based on th
Externí odkaz:
https://doaj.org/article/612919be773746b0a0fc2382883ede1d
Publikováno v:
Electronic Journal of Plant Breeding, Vol 5, Iss 3, Pp 475-488 (2014)
Sesame (Sesamum indicum L.) ((2n=26) is one of the most ancient oilseed crop of the world. The present study was undertaken to develop a molecular map of the important agro-botanic traits in sesame. Two sesame genotypes Chandana and TAC-89-309 that d
Externí odkaz:
https://doaj.org/article/352760b3f54047e68ca4f348682c09e0
Autor:
Rayapati Karthik, M. Venkata Ramana, Ch. Pragathi Kumari, T. Ram Prakash, M. Goverdhan, D. Saida Naik, Mandapelli Sharath Chandra, M. Santhosh Kumar, Nallagatla Vinod Kumar, L. Peace Raising, Kirttiranjan Baral, Rajan Bhatt, Nadhir Al-Ansari, Khalid M. Elhindi, Mohamed A. Mattar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract In the years 2021–2022 and 2022–2023, an experiment was carried out at the IFS Unit, College of Agriculture, PJTSAU, Rajendranagar in order to determine the best one-acre integrated farming system model for Telangana's small and marginal
Externí odkaz:
https://doaj.org/article/6bfe53ece2644c21923727144ebd31fc
Publikováno v:
Open Physics, Vol 22, Iss 1, Pp 45-52 (2024)
This article investigates the unsteady mixed convention two-dimensional flow of magnetohydrodynamic Casson hybrid nanofluids (alumina oxide and titanium oxide nanoparticles with base fluid water) flow through porous media over a linearly stretched sh
Externí odkaz:
https://doaj.org/article/e81f48a1d347407d84d11fae34f4b135
Publikováno v:
Fifth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2022)
We study learning weak solutions to nonlinear hyperbolic partial differential equations (H-PDE), which have been difficult to learn due to discontinuities in their solutions. We use a physics-informed variant of the Fourier Neural Operator ($\pi$-FNO
Externí odkaz:
http://arxiv.org/abs/2302.08144
Publikováno v:
2023 The 22nd World Congress of the International Federation of Automatic Control (IFAC). 56(2):3483-3490
The adaptive smoothing method (ASM) is a standard data-driven technique used in traffic state estimation. The ASM has free parameters which, in practice, are chosen to be some generally acceptable values based on intuition. However, we note that the
Externí odkaz:
http://arxiv.org/abs/2301.03439