Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Negar Ghourchian"'
Autor:
Lily Puterman-Salzman, Jory Katz, Howard Bergman, Roland Grad, Vladimir Khanassov, Genevieve Gore, Isabelle Vedel, Machelle Wilchesky, Narges Armanfard, Negar Ghourchian, Samira Abbasgholizadeh Rahimi
Publikováno v:
Dementia and Geriatric Cognitive Disorders Extra (2023)
Background: Dementia is a neurodegenerative disease resulting in the loss of cognitive and psychological functions. Artificial Intelligence (AI) may help in detection and screening of dementia; however, little is known in this area. Summary: The obje
Externí odkaz:
https://doaj.org/article/ceb4ffa9376f4cb4985e5adce892db92
Autor:
Soroush Samareh Abolhassani, Azar Zandifar, Negar Ghourchian, Manar Amayri, Nizar Bouguila, Ursula Eicker
Publikováno v:
Energy and Buildings. 272:112354
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31:4670-4677
Long-term automated monitoring of residential or small in- dustrial properties is an important task within the broader scope of human activity recognition. We present a device- free wifi-based localization system for smart indoor spaces, developed in
Publikováno v:
WiSNet
Indoor localization has been an important area of research for many years. A more recent development in this space is towards device-free localization techniques. We present a thorough survey and results from our attempt to increase the accuracy and
Autor:
Doina Precup, Negar Ghourchian
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783319064826
Canadian Conference on AI
Canadian Conference on AI
Mobile devices have become pervasive among users in both work environments as well as everyday life, and they sense a wealth of information that can be exploited for a variety of tasks, such as activity recognition, security or health monitoring. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a6157e31e74e3aaa876b028a0e093f9
https://doi.org/10.1007/978-3-319-06483-3_10
https://doi.org/10.1007/978-3-319-06483-3_10
Robust distributed speech recognition using two-stage Filtered Minima Controlled Recursive Averaging
Publikováno v:
ASRU
This paper examines the use of a new Filtered Minima-Controlled Recursive Averaging (FMCRA) noise estimation technique as a robust front-end processing to improve the performance of a Distributed Speech Recognition (DSR) system in noisy environments.
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642105456
FGIT-SIP
FGIT-SIP
In this paper we propose an algorithm for estimating noise in highly non-stationary noisy environments, which is a challenging problem in speech enhancement. This method is based on minima-controlled recursive averaging (MCRA) whereby an accurate, ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6915c3adf065d2517b776e1bb047b6ba
https://doi.org/10.1007/978-3-642-10546-3_10
https://doi.org/10.1007/978-3-642-10546-3_10