Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kawal Arora"'
Publikováno v:
Startupreneur Business Digital (SABDA Journal). 1:143-155
Over the past decade, there have been tremendous advances in the use of data science to facilitate decision making and extract and thus act upon insights from large data sets in digital business environments. However, despite these advances, there is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::061d2b35df2bca5eeac9ce395d9f612c
https://doi.org/10.34306/sabda.v1i2.110
https://doi.org/10.34306/sabda.v1i2.110
Autor:
Ankur Singh Bist, Kawal Arora
Publikováno v:
Aptisi Transactions on Technopreneurship (ATT); Vol. 2 No. 2 (2020): September; 120-126
Aptisi Transactions On Technopreneurship (ATT); Vol 2 No 2 (2020): September; 120-126
Aptisi Transactions On Technopreneurship (ATT); Vol 2 No 2 (2020): September; 120-126
Recent advancements in the area of drug discovery using artificial intelligence made it possible to speed up the hunt for new pharmaceuticals. Drugs like arbidol, atazanavir, remdesivir & favipiravir are under testing phase to cure COVID-19. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4a9f586b2187b165a2db967e9d117b2
https://doi.org/10.34306/att.v2i2.88
https://doi.org/10.34306/att.v2i2.88
Publikováno v:
Aptisi Transactions on Technopreneurship (ATT); Vol. 2 No. 2 (2020): September; 112-119
Aptisi Transactions On Technopreneurship (ATT); Vol 2 No 2 (2020): September; 112-119
Aptisi Transactions On Technopreneurship (ATT); Vol 2 No 2 (2020): September; 112-119
Recent advancements in the area of Optical Character Recognition (OCR) using deep learning techniques made it possible to use for real world applications with good accuracy. In this paper we present a system named as OCRXNet. OCRXNetv1, OCRXNetv2 and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21d52be179a8ab24782ee13bf3146f58
https://doi.org/10.34306/att.v2i2.87
https://doi.org/10.34306/att.v2i2.87
Publikováno v:
Aptisi Transactions on Technopreneurship (ATT); Vol. 2 No. 2 (2020): September; 104-111
Aptisi Transactions On Technopreneurship (ATT); Vol 2 No 2 (2020): September; 104-111
Aptisi Transactions On Technopreneurship (ATT); Vol 2 No 2 (2020): September; 104-111
Recent advancements in the area of facial recognition and verification introduced thepossibility of facial attendance for various use cases. In this paper we present a system namedas AttendXNet. Our method uses the ResNet and Multi-layer feed forward
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37fedead21803234555d951e9718de64
https://doi.org/10.34306/att.v2i2.86
https://doi.org/10.34306/att.v2i2.86