Zobrazeno 1 - 10
of 3 892
pro vyhledávání: '"Bhadra P"'
Publikováno v:
JFO Open Ophthalmology, Vol 7, Iss , Pp 100116- (2024)
Adaptive Optics (AO) has emerged as a revolutionary technology in ophthalmology, offering an unprecedented view into the eye's microstructures with high-resolution imaging capabilities. Originally developed for astronomy, AO technology has been adapt
Externí odkaz:
https://doaj.org/article/706ef7158d9f4e62a0496c389944d138
Autor:
Kirtibir Rajguru, Sujan Bhandari, Ganesh Kumar Shrestha, Chhabi Lal Gnawali, Bhadra Prasad Pokharel
Publikováno v:
Bibechana, Vol 21, Iss 2 (2024)
The performance of electrochemical double-layer capacitors (EDLCs) is evaluated by the capacitance of activated carbon (AC) electrodes. The capacitance of AC electrodes is influenced by many factors such as precursor type, activation method, pore str
Externí odkaz:
https://doaj.org/article/77b7a1d558d64c12be616636343b7ae8
Publikováno v:
Bibechana, Vol 20, Iss 3 (2023)
We have carried out a detailed study of synthesis and variations of structural profile parameters: lattice constants, unit cell volume, densities, porosity, crystallite size, dislocation density and micro-strain of BMZ modified BNKT (1-x) Bi0.5(Na0.7
Externí odkaz:
https://doaj.org/article/6d23e019351e472c968244905afec7ca
Publikováno v:
Oman Journal of Ophthalmology, Vol 16, Iss 1, Pp 51-54 (2023)
BACKGROUND AND OBJECTIVES: Small-incision cataract surgery (SICS) is a commonly performed procedure in developing countries. It does not require expensive machines and can be safely done in high-volume centers also yielding good visual outcomes in th
Externí odkaz:
https://doaj.org/article/b66c920b2f7549038a58e63c8768b746
Autor:
Chhabi Lal Gnawali, Sabina Shahi, Sarita Manandhar, Ganesh Kumar Shrestha, Mandira Pradhannanga Adhikari, Rinita Rajbhandari, Bhadra P. Pokharel
Publikováno v:
Bibechana, Vol 20, Iss 1 (2023)
Porous activated carbon materials derived from biomass could be the suitable materials for high-rate performance electrochemical supercapacitors as it exhibits high surface area due to well-defined pore structure. Here, we report the novel porous act
Externí odkaz:
https://doaj.org/article/7a6e8805dc98478581c5df39141f58e3
Autor:
Chhabi Lal Gnawali, Lok Kumar Shrestha, Jonathan P. Hill, Renzhi Ma, Katsuhiko Ariga, Mandira Pradhananga Adhikari, Rinita Rajbhandari, Bhadra P. Pokharel
Publikováno v:
C, Vol 9, Iss 4, p 109 (2023)
High-surface-area porous carbon materials with high porosity and well-defined pore structures are the preferred advanced supercapacitors electrode materials. Here, we report the electrochemical supercapacitive performance of novel high-porosity activ
Externí odkaz:
https://doaj.org/article/29837f144ffa44a38278d5519c34d27b
Autor:
Bhadra, Sayan, Srivastava, Anuj
Functional data contains two components: shape (or amplitude) and phase. This paper focuses on a branch of functional data analysis (FDA), namely Shape-Based FDA, that isolates and focuses on shapes of functions. Specifically, this paper focuses on S
Externí odkaz:
http://arxiv.org/abs/2411.15326
Autor:
Das, Soumen, Sane, Anit, Bhadra, Satyanu, Ghosh, Shankar, Granek, Omer, Kafri, Yariv, Levine, Dov
We study a monolayer of metal balls under periodic chiral driving in the horizontal plane. Energy dissipation occurs in this system via (i) inelastic collisions and (ii) frictional interaction with the substrate. We show that below a density-dependen
Externí odkaz:
http://arxiv.org/abs/2410.23863
To understand how the interconnected and interdependent world of the twenty-first century operates and make model-based predictions, joint probability models for networks and interdependent outcomes are needed. We propose a comprehensive regression f
Externí odkaz:
http://arxiv.org/abs/2410.07555
Autor:
Loría, Jorge, Bhadra, Anindya
Neal (1996) proved that infinitely wide shallow Bayesian neural networks (BNN) converge to Gaussian processes (GP), when the network weights have bounded prior variance. Cho & Saul (2009) provided a useful recursive formula for deep kernel processes
Externí odkaz:
http://arxiv.org/abs/2410.01284