Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Nariman Farsad"'
Autor:
Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine De Ribaupierre, Nariman Farsad
Publikováno v:
IEEE Access, Vol 11, Pp 23085-23096 (2023)
We develop a hybrid model-based data-driven seizure detection algorithm called Mutual Information-based CNN-Aided Learned factor graphs (MICAL) for detection of eclectic seizures from EEG signals. Our proposed method contains three main components: a
Externí odkaz:
https://doaj.org/article/3b57dfa6bb3f4daeb5487d15c788e948
Publikováno v:
IEEE Access, Vol 7, Pp 81849-81858 (2019)
In this paper, we present an experimentally validated end-to-end channel model for molecular communication systems with metal-oxide sensors. In particular, we focus on the recently developed tabletop molecular communication platform. Unlike previous
Externí odkaz:
https://doaj.org/article/09e8772e10af49e2bf28dc7765b54204
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e82935 (2013)
In this work, we describe the first modular, and programmable platform capable of transmitting a text message using chemical signalling - a method also known as molecular communication. This form of communication is attractive for applications where
Externí odkaz:
https://doaj.org/article/eabd21d789744262a75d9d6d1c048cd7
Publikováno v:
IEEE Transactions on Communications. 71:2654-2669
The non-uniform photoelectric response of infrared imaging systems results in fixed-pattern stripe noise being superimposed on infrared images, which severely reduces image quality. As the applications of degraded infrared images are limited, it is c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42df50ac6a4120637ce86c7a55ab9be2
http://arxiv.org/abs/2209.14973
http://arxiv.org/abs/2209.14973
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Autor:
Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine De Ribaupierre, Nariman Farsad
We develop a hybrid model-based data-driven seizure detection algorithm called Mutual Information-based CNNAided Learned factor graphs (MICAL) for detection of eclectic seizures from EEG signals. Our proposed method contains three main components: a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8d2cc92aeb26b341b717f95b2740007
http://arxiv.org/abs/2206.02298
http://arxiv.org/abs/2206.02298
Publikováno v:
ISIT
Reed-Muller (RM) codes are one of the oldest families of codes. Recently, a recursive projection aggregation (RPA) decoder has been proposed, which achieves a performance that is close to the maximum likelihood decoder for short-length RM codes. One
Publikováno v:
IEEE Access, Vol 7, Pp 81849-81858 (2019)
In this paper, we present an experimentally validated end-to-end channel model for molecular communication systems with metal-oxide sensors. In particular, we focus on the recently developed tabletop molecular communication platform. Unlike previous
Publikováno v:
Digital Signal Processing. 124:103544