Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Nikesh Bajaj"'
Autor:
Huiyi Wu, Kiran Haresh Kumar Patel, Xinyang Li, Bowen Zhang, Christoforos Galazis, Nikesh Bajaj, Arunashis Sau, Xili Shi, Lin Sun, Yanda Tao, Harith Al-Qaysi, Lawrence Tarusan, Najira Yasmin, Natasha Grewal, Gaurika Kapoor, Jonathan W. Waks, Daniel B. Kramer, Nicholas S. Peters, Fu Siong Ng
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract There is increasing focus on applying deep learning methods to electrocardiograms (ECGs), with recent studies showing that neural networks (NNs) can predict future heart failure or atrial fibrillation from the ECG alone. However, large numbe
Externí odkaz:
https://doaj.org/article/ccbcc64d51d940a7ac5355493bb20c5d
Autor:
Nikesh Bajaj, Jesús Requena Carrión
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9825 (2023)
Modern deep neural networks (DNNs) have shown promising results in brain studies involving multi-channel electroencephalogram (EEG) signals. The representations produced by the layers of a DNN trained on EEG signals remain, however, poorly understood
Externí odkaz:
https://doaj.org/article/571709d1354f4d76b651335627b6e05b
Autor:
Pratheep Kumar Paranthaman, Srikant Vallabhajosula, Alys Giordano, Stacey Walton, Oliver Tuisa, Nikesh Bajaj
Publikováno v:
Intelligent Sustainable Systems ISBN: 9789811976629
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dc86212186fe51ce913f73f58de88a6
https://doi.org/10.1007/978-981-19-7663-6_64
https://doi.org/10.1007/978-981-19-7663-6_64
Publikováno v:
Intelligent Sustainable Systems ISBN: 9789811976599
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5e0d299155f447d2c47fde94afc3c85
https://doi.org/10.1007/978-981-19-7660-5_9
https://doi.org/10.1007/978-981-19-7660-5_9
Autor:
Arunashis Sau, Antônio H. Ribeiro, Kathryn McGurk, Libor Pastika, Nikesh Bajaj, Jun Yu Chen, Huiyi Wu, Xili Shi, Katerina Hnatkova, Sean Zheng, Annie Briton, Martin Shipley, Irena Andršová, Tomáš Novotný, Ester Sabino, Jonathan W. Waks, Daniel B. Kramer, Danilo Mandic, Nicholas S. Peters, Marek Malik, James S. Ware, Antonio L. Ribeiro, Fu Siong Ng
Publikováno v:
Heart Rhythm. 20:S87-S88
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecd29bfdcf872bf6aaf7eddaec50dd64
https://doi.org/10.1016/j.hrthm.2023.03.384
https://doi.org/10.1016/j.hrthm.2023.03.384
Autor:
Jesus Requena Carrion, Riccardo Berta, Alessandro De Gloria, Nikesh Bajaj, Francesco Bellotti
Publikováno v:
Electronic Journal of e-Learning. 19:pp159-169
One of the most striking characteristics of e-Learning audiences is their diversity. Native and non-native learners can be expected among such audiences and therefore, when developing e-Learning courses it is important to consider the impact of the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c176ed29a6e2eeef34653995f16dd971
https://doi.org/10.34190/ejel.19.3.2296
https://doi.org/10.34190/ejel.19.3.2296
Publikováno v:
Cardiovascular digital health journal. 3(3)
Atrial fibrillation (AF) is the most common arrhythmia and causes significant morbidity and mortality. Early identification of AF may lead to early treatment of AF and may thus prevent AF-related strokes and complications. However, there is no curren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::178ff7b96db6e5162606a5cce6fa5715
https://pubmed.ncbi.nlm.nih.gov/35720677
https://pubmed.ncbi.nlm.nih.gov/35720677
Autor:
Kiran Patel, Nikesh Bajaj, Ben Statton, Nihara Herath, Xinyang Li, Ross Davidson, Stelutsa Savvidou, Joseph Coghlin, Job Stoks, Sanjay Purkayastha, Jonathan Cousins, James Ware, Declan O’Regan, Pier Lambiase, Matthijs Cluitmans, Nicholas Peters, Fu Siong Ng
Publikováno v:
Cardiac rhythm management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de6caf978446c333003cdb6d4607f382
https://doi.org/10.1136/heartjnl-2022-bcs.82
https://doi.org/10.1136/heartjnl-2022-bcs.82
Autor:
Nikesh Bajaj, Marvin Rajwadi, Tracy Goodluck Constance, Julie Wall, Mansour Moniri, Thea Laird, Chris Woodruff, James Laird, Cornelius Glackin, Nigel Cannings
Publikováno v:
Knowledge-Based Systems. 267:110422
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::658f20a6f9c763c1952426ec11f4577e
https://doi.org/10.1016/j.knosys.2023.110422
https://doi.org/10.1016/j.knosys.2023.110422
Publikováno v:
2021 IEEE Conference on Games (CoG).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4382ea35f856e3ce2b03c2f9d44c1356
https://doi.org/10.1109/cog52621.2021.9619043
https://doi.org/10.1109/cog52621.2021.9619043