Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Subhadarshini Mohanty"'
Autor:
Subasish Mohapatra, Sushree Maneesha, Subhadarshini Mohanty, Prashanta Kumar Patra, Sourav Kumar Bhoi, Kshira Sagar Sahoo, Amir H. Gandomi
Publikováno v:
Healthcare Analytics, Vol 4, Iss , Pp 100236- (2023)
Externí odkaz:
https://doaj.org/article/5466923da34044f2b4d52b7307ff1357
Autor:
Subasish Mohapatra, Sushree Maneesha, Subhadarshini Mohanty, Prashanta Kumar Patra, Sourav Kumar Bhoi, Kshira Sagar Sahoo, Amir H. Gandomi
Publikováno v:
Healthcare Analytics, Vol 3, Iss , Pp 100133- (2023)
Cardiovascular Diseases (CVDs), or heart diseases, are one of the top-ranking causes of death worldwide. About 1 in every 4 deaths is related to heart diseases, which are broadly classified as various types of abnormal heart conditions. However, diag
Externí odkaz:
https://doaj.org/article/30ed086a39704f4db6ce3fd0fa7d9aeb
Autor:
Subasish Mohapatra, Sarmistha Muduly, Subhadarshini Mohanty, J V R Ravindra, Sachi Nandan Mohanty
Publikováno v:
Sustainable Operations and Computers, Vol 3, Iss , Pp 296-302 (2022)
Breast cancer detection based on the deep learning approach has gained much interest among other conventional-based CAD systems as the conventional based CAD system's accuracy results seems to be inadequate. The convolution neural network, a deep lea
Externí odkaz:
https://doaj.org/article/4bd4f2d53c164706ada4dfd5b9717166
Publikováno v:
Procedia Computer Science. 218:1581-1590
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e66a6e600d605ce82df6cb21e493848c
https://doi.org/10.1016/j.procs.2023.01.136
https://doi.org/10.1016/j.procs.2023.01.136
Publikováno v:
Procedia Computer Science. 218:1621-1630
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edddb18b01f4d1a3f5e43db2baeb0118
https://doi.org/10.1016/j.procs.2023.01.140
https://doi.org/10.1016/j.procs.2023.01.140
Publikováno v:
Intelligent Analytics for Industry 4.0 Applications ISBN: 9781003321149
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ce192a2aba3bec689eac64ef441fb0e
https://doi.org/10.1201/9781003321149-10
https://doi.org/10.1201/9781003321149-10
Publikováno v:
Graduate Research in Engineering and Technology. :31-35
Call center employees usually depend on instinct to judge a potential customer and how to pitch to them. In this paper, we pitch a more effective way for call center employees to generate more leads and engagement to generate higher revenue by analyz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0bc23dd865b1492dcccf4867ceccfbb
https://doi.org/10.47893/gret.2022.1114
https://doi.org/10.47893/gret.2022.1114
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811960673
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::588491f2809c22f876dda83e0924f0db
https://doi.org/10.1007/978-981-19-6068-0_40
https://doi.org/10.1007/978-981-19-6068-0_40
Publikováno v:
2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a216854e10fd6d490e80bed5be68c9be
https://doi.org/10.1109/iccsea54677.2022.9936384
https://doi.org/10.1109/iccsea54677.2022.9936384
Publikováno v:
Handbook of Research on Machine Learning ISBN: 9781003277330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4158139ac49dd37db45d0650e4685575
https://doi.org/10.1201/9781003277330-10
https://doi.org/10.1201/9781003277330-10