Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Kalpitha"'
Publikováno v:
International Journal of Engineering Research in Computer Science and Engineering. 9:28-31
Mobile network data contains the information of users. Metaheuristic algorithms are very popular for solving many engineering problems. In the proposed work CDR dataset, in which the smsin data column is utilized to find out the anomalies. Lion optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1f82e45d0840fd530b570fdaa5c55bf
https://doi.org/10.36647/ijercse/09.10.art006
https://doi.org/10.36647/ijercse/09.10.art006
Publikováno v:
In Impact of Climate Change on Social and Mental Well-Being 2024:75-89
Publikováno v:
In Procedia Computer Science 2016 87:134-139
Publikováno v:
Polymeric Biomaterials ISBN: 9781003240884
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5587a2aa4a8a748177064c6df7666988
https://doi.org/10.1201/9781003240884-3
https://doi.org/10.1201/9781003240884-3
Autor:
Kalpitha, N., Murali, S.
Publikováno v:
Journal of Scientific & Industrial Research; Jun2020, Vol. 79 Issue 6, p513-516, 4p
Autor:
N. Kalpitha, Shanthi Murali
Publikováno v:
Materials Today: Proceedings.
A novel algorithm has also been proposed for handling occlusion in 3D object recognition using monochrome images. Binocular Stereo vision system has been used to capture the left and right images of an image scene to infer 3D information. Surface mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::899f367f599b571e06a61072f76af104
https://doi.org/10.1016/j.matpr.2021.04.012
https://doi.org/10.1016/j.matpr.2021.04.012
Publikováno v:
International Journal of Advanced Research. 6:506-512
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f456378c737239d92b3af6d5324eea98
https://doi.org/10.21474/ijar01/7058
https://doi.org/10.21474/ijar01/7058
Autor:
Kalpitha. N
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 6:1583-1587
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::422113acca81c20f327866504d4e0216
https://doi.org/10.22214/ijraset.2018.5256
https://doi.org/10.22214/ijraset.2018.5256
Publikováno v:
International Journal of Research -GRANTHAALAYAH. 5:8-13
In this survey paper, different depth estimation techniques using cues from two images are observed. In this paper, different methods for depth estimation like Vergence, Stereo Disparity, Stereo Matching, Familiar Size, Defocus Cue, Convex Optimizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c91842af7e4672fff951351614b31412
https://doi.org/10.29121/granthaalayah.v5.i4racsit.2017.3342
https://doi.org/10.29121/granthaalayah.v5.i4racsit.2017.3342