Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shahriar, Khandaker Tayef"'
COVID-19 has created a major public health problem worldwide and other problems such as economic crisis, unemployment, mental distress, etc. The pandemic is deadly in the world and involves many people not only with infection but also with problems,
Externí odkaz:
http://arxiv.org/abs/2312.01178
This paper formulates the problem of dynamically identifying key topics with proper labels from COVID-19 Tweets to provide an overview of wider public opinion. Nowadays, social media is one of the best ways to connect people through Internet technolo
Externí odkaz:
http://arxiv.org/abs/2109.02462
Publikováno v:
In Informatics in Medicine Unlocked 2022 31
Autor:
Das Guptta, Sumitra, Shahriar, Khandaker Tayef, Alqahtani, Hamed, Alsalman, Dheyaaldin, Sarker, Iqbal H.
Publikováno v:
Annals of Data Science; Feb2024, Vol. 11 Issue 1, p217-242, 26p
The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during S
This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book cove