Zobrazeno 1 - 10
of 19 705
pro vyhledávání: '"Ghose A"'
Autor:
Ghose Aditi
Publikováno v:
Chemistry Teacher International, Vol 3, Iss 4, Pp 325-336 (2021)
The announcement of the rare feat of ‘unboiling an egg’ in 2015 by biochemists from University of California, Irvine and Australia was more than just a chemistry demonstration. Pulling apart tangled proteins and allowing them to refold, the new t
Externí odkaz:
https://doaj.org/article/839c3da912d34e4bb7c4a7e156d3eb66
Autor:
Ghose, Partha
It is shown that Brownian motions executed by state points of neural membranes generate a Schr\"{o}dinger-like equation with $\hbar/m$ replaced by the coefficient of diffusion $\sigma$ of the substrates.
Comment: 6 pages, no figures
Comment: 6 pages, no figures
Externí odkaz:
http://arxiv.org/abs/2406.16991
Stochastic video generation is particularly challenging when the camera is mounted on a moving platform, as camera motion interacts with observed image pixels, creating complex spatio-temporal dynamics and making the problem partially observable. Exi
Externí odkaz:
http://arxiv.org/abs/2406.14436
Autor:
Ghose, Souvik, Das, Tapas K.
Realization of the stationary integral solutions of steady state transonic accretion flow in spherical symmetry helps to understand accretion phenomena on various astrophysical objects. In recent years, attempts have been made to study accreting blac
Externí odkaz:
http://arxiv.org/abs/2406.02673
Existing UAS Traffic Management (UTM) frameworks designate preplanned flight paths to uncrewed aircraft systems (UAS), enabling the UAS to deliver payloads. However, with increasing delivery demand between the source-destination pairs in the urban ai
Externí odkaz:
http://arxiv.org/abs/2405.20972
Autor:
Zhang, Zhanguang, Chetelat, Didier, Cotnareanu, Joseph, Ghose, Amur, Xiao, Wenyi, Zhen, Hui-Ling, Zhang, Yingxue, Hao, Jianye, Coates, Mark, Yuan, Mingxuan
Boolean satisfiability (SAT) problems are routinely solved by SAT solvers in real-life applications, yet solving time can vary drastically between solvers for the same instance. This has motivated research into machine learning models that can predic
Externí odkaz:
http://arxiv.org/abs/2405.11024
Autor:
Nweye, Kingsley, Kaspar, Kathryn, Buscemi, Giacomo, Fonseca, Tiago, Pinto, Giuseppe, Ghose, Dipanjan, Duddukuru, Satvik, Pratapa, Pavani, Li, Han, Mohammadi, Javad, Ferreira, Luis Lino, Hong, Tianzhen, Ouf, Mohamed, Capozzoli, Alfonso, Nagy, Zoltan
As more distributed energy resources become part of the demand-side infrastructure, it is important to quantify the energy flexibility they provide on a community scale, particularly to understand the impact of geographic, climatic, and occupant beha
Externí odkaz:
http://arxiv.org/abs/2405.03848
Variational Physics-Informed Neural Networks (VPINNs) utilize a variational loss function to solve partial differential equations, mirroring Finite Element Analysis techniques. Traditional hp-VPINNs, while effective for high-frequency problems, are c
Externí odkaz:
http://arxiv.org/abs/2404.12063
Autor:
Fonseca, Tiago, Ferreira, Luis, Cabral, Bernardo, Severino, Ricardo, Nweye, Kingsley, Ghose, Dipanjan, Nagy, Zoltan
Intelligent energy management strategies, such as Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) emerge as a potential solution to the Electric Vehicles' (EVs) integration into the energy grid. These strategies promise enhanced grid resilience and e
Externí odkaz:
http://arxiv.org/abs/2404.06521
Autor:
Sarkar, Meenakshi, Ghose, Debasish
Long-term video generation and prediction remain challenging tasks in computer vision, particularly in partially observable scenarios where cameras are mounted on moving platforms. The interaction between observed image frames and the motion of the r
Externí odkaz:
http://arxiv.org/abs/2404.05439