Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jasperine James"'
Autor:
Arunkumar Heddallikar, Raymond Pinto, Hiten Kothari, Jasperine James, Y.S Rao, Tarique Sajjad
Publikováno v:
2022 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77a3155c4a70dce6f08eb24024e97796
https://doi.org/10.1109/mapcon56011.2022.10047045
https://doi.org/10.1109/mapcon56011.2022.10047045
Publikováno v:
ICCCNT
Processing of Synthetic Aperture Radar (SAR) data in any application involves either temporal or spatial study of the radar reflectivity and other parameters. Verification of data is an essential step which involves consideration of design specificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::111dc07a99e08e7e79373200b7473179
https://doi.org/10.1109/icccnt51525.2021.9580081
https://doi.org/10.1109/icccnt51525.2021.9580081
Publikováno v:
Transactions on Computer Systems and Networks ISBN: 9789811616808
Synthetic Aperture Radar (SAR) system is one of the most popular system used widely due to its property of self-illumination. Use of SAR is gaining interest in earth remote sensing due to its advantages over optical imaging systems. Its ability to co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bcbbbbcc515800ade99686654f9ff70
https://doi.org/10.1007/978-981-16-1681-5_16
https://doi.org/10.1007/978-981-16-1681-5_16
Autor:
Jasperine James, Smita Chopde
Publikováno v:
Nanoelectronics, Circuits and Communication Systems ISBN: 9789811574856
The statistical method has simplified the processes for prediction of protein structure in economical way and reduced the complex methods reacquired for finding the structure. In statistical method, various machine learning methods are used. For find
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7753ba9650628715d9d1bdb4d5efe39
https://doi.org/10.1007/978-981-15-7486-3_29
https://doi.org/10.1007/978-981-15-7486-3_29