Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sreenatha Anavatti"'
Publikováno v:
Sensors, Vol 23, Iss 23, p 9579 (2023)
Deep learning networks have demonstrated outstanding performance in 2D and 3D vision tasks. However, recent research demonstrated that these networks result in failures when imperceptible perturbations are added to the input known as adversarial atta
Externí odkaz:
https://doaj.org/article/028113a5be4b407e9c7efe1ccbe84ef8
Autor:
Raul Fernandez Rojas, Essam Debie, Justin Fidock, Michael Barlow, Kathryn Kasmarik, Sreenatha Anavatti, Matthew Garratt, Hussein Abbass
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Background: Although many electroencephalographic (EEG) indicators have been proposed in the literature, it is unclear which of the power bands and various indices are best as indicators of mental workload. Spectral powers (Theta, Alpha, and Beta) an
Externí odkaz:
https://doaj.org/article/ddfa352fced145f59e3fe3a6e7e2569d
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264085
Adversarial continual learning is effective for continual learning problems because of the presence of feature alignment process generating task-invariant features having low susceptibility to the catastrophic forgetting problem. Nevertheless, the AC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28140a6905e8a23471db9dfb92499b6b
https://hdl.handle.net/11541.2/30448
https://hdl.handle.net/11541.2/30448
Autor:
Rilanto Trilaksono, Bambang, Triadhitama, Ryan, Adiprawita, Widyawardana, Wibowo, Artiko, Sreenatha, Anavatti
Publikováno v:
Aircraft Engineering and Aerospace Technology, 2011, Vol. 83, Issue 6, pp. 407-419.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/00022661111173289
Autor:
Rouzbeh Abbassi, Shadi Abpeikar, Hossein Adel, Sreenatha Anavatti, Ivan Bakhshayeshi, Nima Bayat-Makou, Amin Beheshti, Rhiannon Blake, Bahareh Dabirmanesh, Eila Erfani, Milad Rabbabni Esfahani, Karu P. Esselle, Zahra Falahati, Helia Farhood, Vikram Garaniya, Matthew Garratt, Omid Ghaffarpasand, Ebrahim Ghasemy, A. Yagmur Goren, Supriya Gupta, Asghar Habibnejad Korayem, Bavly Hanna, Ahmad Hosseinzadeh, Majid Ilchi Ghazaan, Ahmad Miri Jahromi, Alexandros Karatopouzis, Elika Karbassiyazdi, Kathryn Kasmarik, Khosro Khajeh, Md Mohiuddin Khan, Alireza Khataee, Mohammad Khedri, Ahmed A. Kishk, Ali Lalbakhsh, Reza Maleki, Yamini Mittal, Sweta Modak, Masoud Mohseni-Dargah, Hadi Mokarizadeh, Parisa Nasrollahi, Arman Nedjati, Matineh Pooshideh, Yaşar K. Recepoğlu, Nabi Rezvani, Roy B.V.B. Simorangkir, Pratiksha Srivastava, Firouzeh Taghikhah, Sara Tayari, Phi Vu Tran, Mohammad Yazdi, Esmaeil Zarei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3182f900c9fa2a9b37ac4c5f9bb6c7b8
https://doi.org/10.1016/b978-0-323-90508-4.01002-9
https://doi.org/10.1016/b978-0-323-90508-4.01002-9
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Publikováno v:
Expert Systems with Applications. 196:116605
Publikováno v:
International Journal on Engineering Applications (IREA). 9:353
Publikováno v:
2006 IEEE International Conference on Control Applications.