Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sandeep Vemuri"'
Publikováno v:
2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::399f163e6d7abc476093d80e0f1689aa
https://doi.org/10.1109/icaccs57279.2023.10112807
https://doi.org/10.1109/icaccs57279.2023.10112807
Publikováno v:
2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d47b386fba6f200e31b5947227b17565
https://doi.org/10.1109/idciot56793.2023.10053439
https://doi.org/10.1109/idciot56793.2023.10053439
Autor:
A. Chandrashekhar, Bingi Manorama Devi, Sandeep Vemuri, C Sushama, Pankaj Kundu, Praful Nandankar
Publikováno v:
World Journal of Engineering. 19:652-657
Purpose The COVID-19 pandemic has led to a huge loss of human life worldwide and presents an unprecedented challenge to public health, food systems and the world of work. Tens of millions of people are at risk of falling into extreme poverty due to l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a7b49394e46fde3d2906efd3b1f85e8
https://doi.org/10.1108/wje-03-2021-0157
https://doi.org/10.1108/wje-03-2021-0157
Publikováno v:
2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa46d077286dda9185eba9f38d6cb1a7
https://doi.org/10.1109/bharat53139.2022.00022
https://doi.org/10.1109/bharat53139.2022.00022
Publikováno v:
CCECE
With the current state of the art Natural language processing (NLP) technology, many researchers have proved that automatizing the requirement analysis process is possible which saves significant amount of time spent by the analysts. Numerous semi-au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c311674f62032d105228f3a3cc287a27
https://doi.org/10.1109/ccece.2017.7946792
https://doi.org/10.1109/ccece.2017.7946792