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An Efficient Fake News Detection System Using Contextualized Embeddings and Recurrent Neural Network
Autor:
Junaid Ali Reshi, Rashid Ali
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 6, Pp 38-50 (2024)
Fake news is detrimental for society and individuals. Since the information dissipation through online media is too quick, an efficient system is needed to detect and counter the propagation of fake news on social media. Many studies have been perfor
Externí odkaz:
https://doaj.org/article/ac436a883fed432a9ed178b1cb84b90d
Autor:
Junaid Ali Reshi, Satwinder Singh
Publikováno v:
Journal of Information Technology Management, Vol 10, Iss 4, Pp 41-63 (2019)
The quest for improving the software quality has given rise to various studies which focus on the enhancement of the quality of software through various processes. Code smells, which are indicators of the software quality have not been put to an exte
Externí odkaz:
https://doaj.org/article/a2671c86d7bf42189c4df5c3d51eae2b
Autor:
JUNAID ALI RESHI, Rashid Ali
Publikováno v:
Machine Learning and Artificial Intelligence in Healthcare Systems ISBN: 9781003265436
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88320249951af9b0e18b158e23e3587c
https://doi.org/10.1201/9781003265436-13
https://doi.org/10.1201/9781003265436-13
Autor:
Junaid Ali Reshi, Rashid Ali
Publikováno v:
2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT).
Autor:
Junaid Ali Reshi, Rashid Ali
Publikováno v:
2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS).
With the intrusion of social media into personal, social and political space of today’s world, the iniquities associated with it have also found a place to thrive. One such malevolent act is the spread of rumors through social networks. This survey