Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Chandra Sekhara Rao, Annavarapu"'
Optimized levy flight model for heart disease prediction using CNN framework in big data application
Publikováno v:
In Expert Systems With Applications 1 August 2023 223
Autor:
Praveen Kumar Donta, Satish Narayana Srirama, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu
Publikováno v:
Digital Communications and Networks, Vol 8, Iss 5, Pp 727-744 (2022)
The Internet of Things (IoT) has been growing over the past few years due to its flexibility and ease of use in real-time applications. The IoT's foremost task is ensuring that there is proper communication among different types of applications and d
Externí odkaz:
https://doaj.org/article/50b6e265ef2d48c8ae59288d58480120
Autor:
Chandra Sekhara Rao Annavarapu, Samson Anosh Babu Parisapogu, Nikhil Varma Keetha, Praveen Kumar Donta, Gurindapalli Rajita
Publikováno v:
Diagnostics, Vol 13, Iss 8, p 1406 (2023)
Early detection and analysis of lung cancer involve a precise and efficient lung nodule segmentation in computed tomography (CT) images. However, the anonymous shapes, visual features, and surroundings of the nodules as observed in the CT images pose
Externí odkaz:
https://doaj.org/article/c2f4a14458284001863d51b1487092e7
Publikováno v:
The Journal of Supercomputing. 79:11452-11477
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4301a1c7901fa3e716a6ed94785dbc3c
https://doi.org/10.1007/s11227-023-05112-7
https://doi.org/10.1007/s11227-023-05112-7
Autor:
Praveen Kumar Donta, Satish Narayana Srirama, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:2951-2966
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd304eaf1d0bf6ef67cc8d1bf2dddac3
https://doi.org/10.1007/s12652-023-04534-8
https://doi.org/10.1007/s12652-023-04534-8
Publikováno v:
Multimedia Tools and Applications. 82:14367-14401
To accurately diagnose multiple lung diseases from chest X-rays, the critical aspect is to identify lung diseases with high sensitivity and specificity. This study proposed a novel multi-class classification framework that minimises either false posi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e53fed44dd7aa4d1e87c6650c790ceb
https://doi.org/10.1007/s11042-022-13710-5
https://doi.org/10.1007/s11042-022-13710-5
Publikováno v:
Neural Processing Letters. 55:1499-1526
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d16d207e11d1eff0e187ec649b681695
https://doi.org/10.1007/s11063-022-10949-9
https://doi.org/10.1007/s11063-022-10949-9
Autor:
Meghana Karri, Chandra Sekhara Rao Annavarapu, Saurav Mallik, Zhongming Zhao, U Rajendra Acharya
Publikováno v:
Biocybernetics and Biomedical Engineering. 42:797-814
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43601cd8b8abc933178b4630ee95789c
https://doi.org/10.1016/j.bbe.2022.06.003
https://doi.org/10.1016/j.bbe.2022.06.003
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:7147-7158
In wireless sensor networks (WSNs), the energy-hole or hotspot problem is an important, challenging issue because it isolates some nodes from the sink. The hotspot problem is addressed by introducing a mobile sink, where the mobile sink traverse in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::430f998868476600c4c7a90282208432
https://doi.org/10.1007/s12652-021-03566-2
https://doi.org/10.1007/s12652-021-03566-2
Autor:
Ashes Banerjee, Sarath Chandra K. Jagupilla, Srinivas Pasupuleti, Chandra Sekhara Rao Annavarapu
Publikováno v:
Acta Geophysica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0d405b851bd58dc5ce6436fb70bbd1c
https://doi.org/10.1007/s11600-022-00950-0
https://doi.org/10.1007/s11600-022-00950-0