Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Mainak Bandyopadhyay"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract A spatially varying transverse magnetic filter field (TMF) is present in an E $$\times$$ × B plasma-based negative ion source to improve negative ion yield. The TMF strength ranges from 1 to 10 mT, causing the plasma electrons to become mag
Externí odkaz:
https://doaj.org/article/338bd5b089b045bf9ebc0a29b27b2d97
Autor:
Vipin Shukla, Mainak Bandyopadhyay
Publikováno v:
Intelligent Systems with Applications, Vol 18, Iss , Pp 200200- (2023)
The plasma sources are a device that produces energetic ion streams for applications in diversified fields. However, operating the ion sources with repeatable performance remains challenging and time-consuming due to its nonlinear nature and the comp
Externí odkaz:
https://doaj.org/article/d7402851f3204b96ac74d944e27a7ce9
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 5, Iss 6, Pp 1284-1299 (2020)
Analytical expressions are used frequently for the determination and analysis of plasma parameters. Instead of relying on analytical expressions, the proposed method uses regression techniques supplemented with experimental data for the selected para
Externí odkaz:
https://doaj.org/article/cda4ccf87d194ec387c2505210e87b1a
Autor:
SIDDHARTHA SANKAR KAUSIK, Nipan Das, Bipul Kumar Saikia, Nandan Bikash Sarma, Deiji Kalita, Ratnakar Yadav, Agrajit Gahlaut, Mainak Bandyopadhyay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16bf811a0613fbdcb37b7192258175d1
https://doi.org/10.2139/ssrn.4357620
https://doi.org/10.2139/ssrn.4357620
Autor:
Mainak Bandyopadhyay, Vipin Shukla
Publikováno v:
Intelligent Systems with Applications. 18:200200
Autor:
Mainak Bandyopadhyay
Publikováno v:
Neural Computing and Applications. 33:14809-14822
The application of deep learning techniques in hyperspectral satellite images (HSI) classification has led to a significant increase in accuracy compared to machine learning techniques. The research objective is now shifted toward gaining classificat
Publikováno v:
Day 1 Mon, May 02, 2022.
This paper presents a novel technique for planning and execution of Wireline Formation Testing (WFT) jobs using recent applications of machine learning. WFT measurements provide a link between the static petrophysical measurements and dynamic rock-fl
Publikováno v:
Physics of Plasmas. 30:010701
In this paper, formation of a double layer (DL) is studied in the background plasma (considering only electrons and ions) in the presence of a magnetic field in the context of the Rf operated beam source in India for negative ion research negative io
Autor:
Mainak Bandyopadhyay
Publikováno v:
Journal of Spatial Science. 67:181-201
Spatial trajectory data, interestingly attracting organizations to obtain mobility-based activity patterns of smartphone users. One of the basic objective in this regard is the determination of ‘st...
Publikováno v:
SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology. 12:1-7
Ceramic vacuum feedthroughs are an inevitable requirement for any vacuum system which requires electrical feedlines to be inserted into the vacuum environment. These feedthroughs consist of metal-ceramic-metal transition and, therefore, require the b