Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Saatvik Shah"'
This chapter proposes a framework geared toward the conundrum of detection of P300 signals from raw time-series electroencephalogram (EEG) signals using a four-step technique. The raw data is preprocessed and molded into a dataset capable of running
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::461efd618699054ba77fff15a547090a
https://doi.org/10.1016/b978-0-12-815370-3.00002-5
https://doi.org/10.1016/b978-0-12-815370-3.00002-5
Rapid advancements have been made in the field of artificial intelligence in recent years. This has resulted in its adoption in various technologies from medicine to search engines. Existing media management systems have however not yet fully leverag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fa0118b7fb077077068f746d245b2b8
https://doi.org/10.4018/978-1-5225-9031-6.ch011
https://doi.org/10.4018/978-1-5225-9031-6.ch011
Autor:
Ebtsam Adel, SaurabhKumar Agrawal, Shrestha Bansal, Sherif Barakat, Gaurav Chhabra, Nilanjan Dey, Mohammed Elmogy, Shaker El-Sappagh, Mohd Imran, Sunil Jardosh, Durgaprasad K. Kamat, Heminder Kaur, null Kriti, Anirudha Kumar, Rajesh Kumar, Nimisha Manth, Mrudang D. Pandya, Pradeep M. Patil, Mohammad Abdul Qadeer, Khalid Raza, B. Sarat Chandra, Saatvik Shah, Parth D. Shah, Nora Shoaip, BhanuPratap Singh, Shruti Thakur, Jitendra Virmani
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d328e474de3ade0dbe4770ff01bf4a96
https://doi.org/10.1016/b978-0-12-815370-3.09992-8
https://doi.org/10.1016/b978-0-12-815370-3.09992-8
Publikováno v:
Neurocomputing. 166:397-403
Brain Computer Interface (BCI) has been applied to augment impaired human cognitive function by converting mental signals into control signals. This paper presents a neural classifier optimized using Backtracking Search optimization Algorithm (BSANN)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e24141f02f43ae542bef5bc7236f8c8
https://doi.org/10.1016/j.neucom.2015.03.041
https://doi.org/10.1016/j.neucom.2015.03.041
Publikováno v:
Memetic Computing. 7:19-27
Brain computer interface (BCI) system is based on non-invasive electroencephalographic signals. It is an augmented communication channel for disabled persons which translates neural activity from the brain into control signals. In this paper, a novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b7a71b322fea4b04e78bc26f1d987d4
https://doi.org/10.1007/s12293-015-0155-0
https://doi.org/10.1007/s12293-015-0155-0