Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aniket A. Vartak"'
Publikováno v:
Methods in enzymology. 668
Enzymes catalyze a wide variety of reactions with exquisite precision under crowded conditions within cellular environments. When encountered with a choice of small molecules in their vicinity, even though most enzymes continue to be specific about t
Publikováno v:
Methods in Enzymology ISBN: 9780323915915
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b51e7c96a7252bccf2430d1fb80f096
https://doi.org/10.1016/bs.mie.2022.01.001
https://doi.org/10.1016/bs.mie.2022.01.001
Publikováno v:
Psychophysiology. 52:8-19
Skin conductance (SC) reflects stimulus significance and can be measured by integrating electrodes directly onto a smartphone housing such that they are naturally contacted when gripped. However, grip artifacts naturally arise during operation since
Publikováno v:
Nonlinear Analysis: Theory, Methods & Applications. 63:e867-e876
In this paper we propose a novel, Gauss–Newton-based variant of the Real Time Recurrent Learning (RTRL) algorithm by Williams and Zipser (Neural Comput. 1 (1989) 270–280) for on-line training of Fully Recurrent Neural Networks. The new approach s
Publikováno v:
Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience ISBN: 9783642028113
HCI (16)
HCI (16)
Effective teams are an integral component to the success and the advancement of any organization. This issue emphasizes the need to develop valid measures for team performance especially in operational environments. The use of psychophysiological dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39fe1bb278b964c7366154a4c5f5805c
https://doi.org/10.1007/978-3-642-02812-0_35
https://doi.org/10.1007/978-3-642-02812-0_35
Autor:
Aniket A. Vartak, Phillip Berkowitz, Yun Zhai, Mubarak Shah, Brandyn White, Andrew Miller, Khurram Shafique
Publikováno v:
Multimodal Technologies for Perception of Humans ISBN: 9783540695677
CLEAR
CLEAR
In this paper, we present KNIGHT, a Windows-based stand-alone object detection, tracking and classification software, which is built upon Microsoft Windows technologies. The object detection component assumes stationary background settings and models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57c2736495b5769b13ff2549cfd217d9
https://doi.org/10.1007/978-3-540-69568-4_16
https://doi.org/10.1007/978-3-540-69568-4_16
Publikováno v:
Psychophysiology [Psychophysiology] 2015 Jan; Vol. 52 (1), pp. 8-19. Date of Electronic Publication: 2014 Sep 23.
Publikováno v:
Biomedical sciences instrumentation [Biomed Sci Instrum] 2009; Vol. 45, pp. 77-82.