Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Sandeep Rathor"'
Autor:
Chandrakanta Mahanty, S Gopal Krishna Patro, Sandeep Rathor, Venubabu Rachapudi, Khursheed Muzammil, Saiful Islam, Abdul Razak, Wahaj Ahmad Khan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Coronavirus has long been considered a global epidemic. It caused the deaths of nearly 7.01 million individuals and caused an economic downturn. The number of verified coronavirus cases is increasing daily, putting the whole human race at da
Externí odkaz:
https://doaj.org/article/e0b1890d589a4605a6180c71dc3fffde
Autor:
Chandrakanta Mahanty, S. Gopal Krishna Patro, Sandeep Rathor, Venubabu Rachapudi, Jnanaranjan Mohanty, Khursheed Muzammil, Saiful Islam, Wahaj Ahmad Khan
Publikováno v:
IEEE Access, Vol 12, Pp 75412-75425 (2024)
The worldwide spread of the coronavirus illness has led to the requirement of creating machine-based technologies to identify the diseases. The worldwide pandemic caused by new coronaviruses has resulted in a significant loss of life and necessitates
Externí odkaz:
https://doaj.org/article/1704d74ff36d4397a4264f994a521d67
Publikováno v:
Indian Journal of Orthopaedics. 57:146-158
Autor:
Sandeep Rathor, DC Bhatt
Publikováno v:
Indian Journal of Pharmaceutical Education and Research. 56:697-705
Publikováno v:
Journal of Mechanics in Medicine and Biology.
Publikováno v:
Wireless Personal Communications.
Autor:
Shalya Saxena, Sandeep Rathor
Publikováno v:
2023 6th International Conference on Information Systems and Computer Networks (ISCON).
Autor:
Sandeep Rathor
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789819906000
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf6a1207edc9103a4f58d21327aaed30
https://doi.org/10.1007/978-981-99-0601-7_7
https://doi.org/10.1007/978-981-99-0601-7_7
Autor:
Sandeep Rathor, Sanket Agrawal
Publikováno v:
Neural Computing and Applications. 33:11223-11232
This paper proposes a robust model for domain recognition of acoustic communication by using Bidirectional LSTM and deep neural network. The proposed model consists of five layers namely: speech recognition, word embedding, a layer of Bidirectional L
Publikováno v:
Nanopharmaceutical Advanced Delivery Systems