Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Pasha SA"'
Autor:
Machikuri Santoshi Kumari, Valluri Bhavith Kumar, Bathula Johnson, Pasha Saleem, Zabibah Rahman S., R J Anandhi, Singh Navdeep, Kalra Ravi
Publikováno v:
E3S Web of Conferences, Vol 507, p 01028 (2024)
The Indian Government is providing grains to those in need at affordable prices through a process known as the Public Distribution System. However, the current distribution methods employed in the public distribution system rely on manual processes,
Externí odkaz:
https://doaj.org/article/14365a39a9214c55906198dcdd8d8221
Recently linear fractional transformation (LFT) modelling has demonstrated considerable potential for the filtering problem of highly nonlinear state space systems. A characteristic of the LFT model is the feedback loop which encapsulates the nonline
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::320b45046ab9bbecc2d93c0132d63eb8
https://hdl.handle.net/10453/120603
https://hdl.handle.net/10453/120603
For nonlinear state space model involving random variables with arbitrary probability distributions, the state estimation given a sequence of observations is based on an appropriate criterion such as the minimum mean square error (MMSE). This leads t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::f17c327c67a6da014404a132c46d7ebc
https://hdl.handle.net/10453/15349
https://hdl.handle.net/10453/15349
In this paper, we propose Bayesian filtering technique for continuous-time dynamical models with sampled-data measurements using the linear fractional transformation (LFT) model which transforms the nonlinear state space model into an exact equivalen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::ed7e9081851f7c60826a93a032d0de87
https://hdl.handle.net/10453/16367
https://hdl.handle.net/10453/16367
The probability hypothesis density (PHD) filter is an attractive approach to tracking an unknown and time-varying number of targets in the presence of data association uncertainty, clutter, noise, and detection uncertainty. The PHD filter admits a cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::5233a709a1e2fe96d0d6a6e2490154d9
https://hdl.handle.net/10453/15292
https://hdl.handle.net/10453/15292
Publikováno v:
Annals of Saudi Medicine. 14:19-21
Vaccination to prevent hepatitis B and tuberculosis (TB) forms a part of the national immunization program in the Kingdom of Saudi Arabia. The hepatitis B vaccination was introduced in the Makkah region in January 1991G. Since then, 25 children have
Autor:
Nikesh Ingle, Savita Mane, Pasha Sayyad, Gajanan Bodkhe, Theeazen AL-Gahouari, Manasi Mahadik, Sumedh Shirsat, Mahendra D. Shirsat
Publikováno v:
Frontiers in Materials, Vol 7 (2020)
In the present investigation, a composite of “nickel benzene carboxylic (Ni3BTC2)” and “OH-functionalized single walled carbon nanotubes (OH-SWNTs)” was synthesized using the solvothermal method. The synthesized Ni3BTC2/OH-SWNTs were drop cas
Externí odkaz:
https://doaj.org/article/39f253dea9cc4238a118c2dc76d38bcc
Autor:
Manasi Mahadik, Harshada Patil, Gajanan Bodkhe, Nikesh Ingle, Pasha Sayyad, Theeazen Al-Gahaouri, Sumedh M. Shirsat, Mahendra Shirsat
Publikováno v:
Frontiers in Materials, Vol 7 (2020)
Electrochemical recognition of Hg (II) ions utilizing EDTA modified polyaniline (PANI)/Graphene Oxide (GO) composite is reported in the present communication. Graphene Oxide (GO) synthesis was carried out by a modified Hummer’s method. Electrochemi
Externí odkaz:
https://doaj.org/article/72178cd7dd594450911bbb1b3ecf13da
Autor:
Theeazen AL-Gahouari, Gajanan Bodkhe, Pasha Sayyad, Nikesh Ingle, Manasi Mahadik, Sumedh M. Shirsat, Megha Deshmukh, Nadeem Musahwar, Mehendra Shirsat
Publikováno v:
Frontiers in Materials, Vol 7 (2020)
The selectivity improvement of Electrochemically reduced Graphene Oxide–Multiwalled Carbon Nanotubes–L-cysteine (ErGO–MWNTs–L-cys) nanocomposite modified Glassy Carbon Electrode (GCE) using drop casting method for electrochemical detection of
Externí odkaz:
https://doaj.org/article/79cb06d1e84d4f19b0a18897d110f382