Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Revathi Pogiri"'
Publikováno v:
2022 IEEE International Symposium on Smart Electronic Systems (iSES).
Autor:
Jaya Prakash Allam, Mohammad Reza Aslani, Varun Bajaj, Chinmaya Behara, Charmi Daftari, Fatih Demir, Morteza Farahi, Anil Kumar Gautam, Zahra Ghanbari, Komal Jindal, Sadaf Khademi, Smith K. Khare, Ketan Kishor Kurkute, Govinda Rao Locharla, Luca Longo, Hamid Reza Marateb, Mohammad Hassan Moradi, Mehrnoosh Neghabi, Neelamshobha Nirala, Arefeh Nouri, Prabin Kumar Padhy, Saurabh Pal, Revathi Pogiri, Ateeq Ur Rehman, Muhammad Tariq Sadiq, Saunak Samantray, Abdulkadir Sengur, Jainish Shah, Manan Shah, Tripurari Sharan, Rishi Raj Sharma, Shivam Sharma, Mehdi Shirzadi, Resham Raj Shivwanshi, Nameirakpam Premjit Singh, G.R. Sinha, Vikas Kumar Sinha, Siuly Siuly, Sachin Taran, Rahul Upadhyay, Dhyan Chandra Yadav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed1670f231d84221936678e340c5d779
https://doi.org/10.1016/b978-0-323-91197-9.09993-8
https://doi.org/10.1016/b978-0-323-91197-9.09993-8
Autor:
Varun Bajaj, G. R. Sinha
Artificial Intelligence-Based Brain Computer Interface provides concepts of AI for the modeling of non-invasive modalities of medical signals such as EEG, MRI and FMRI. These modalities and their AI-based analysis are employed in BCI and related appl