Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Nurgun Erdol"'
Autor:
Ali K. Ibrahim, Hanqi Zhuang, Michelle Schärer-Umpierre, Caroline Woodward, Nurgun Erdol, Laurent M. Chérubin
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
In this paper, we present the first machine learning package developed specifically for fish calls identification within a specific range (0–500Hz) that encompasses four Caribbean grouper species: red hind (E. guttatus), Nassau (E. striatus), yello
Externí odkaz:
https://doaj.org/article/3e34b08e65674250b81e1e537b36e940
Publikováno v:
Frontiers in Signal Processing, Vol 3 (2023)
Epilepsy withholds patients’ control of their body or consciousness and puts them at risk in the course of their daily life. This article pursues the development of a smart neurocomputational technology to alert epileptic patients wearing EEG senso
Externí odkaz:
https://doaj.org/article/b22a1a27c53a434ca90cf2dc21279f4a
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 1, Pp 217-225 (2020)
Noncoherent demodulation is an attractive choice for many wireless communication systems. It requires minimal protocol overhead for carrier synchronization, and it is robust to radio impairments commonly found in low-cost transceivers. Machine learni
Externí odkaz:
https://doaj.org/article/e4845ca17d32407bab9b1aab946d6c76
Epilepsy withholds patients' control of their body or consciousness and puts them at risk in the course of their daily life. This paper pursues the development of a smart neurocomputational technology to alert epileptic patients wearing EEG sensors o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55df66e850252bd0463ca37dad505bc5
https://doi.org/10.21203/rs.3.rs-2121492/v1
https://doi.org/10.21203/rs.3.rs-2121492/v1
Autor:
Laurent M. Chérubin, Michelle T. Schärer Umpierre, Hanqi Zhuang, Ali K. Ibrahim, Richard S. Nemeth, Nurgun Erdol, Ali Muhamed Ali
Publikováno v:
The Journal of the Acoustical Society of America. 146:2155-2162
In this paper, a method is introduced for the classification of call types of red hind grouper, an important fishery resource in the Caribbean that produces sounds associated with reproductive behaviors during yearly spawning aggregations. For the un
Publikováno v:
CCNC
This paper proposes a new complex autoencoder suitable for learning spectrally efficient, constant envelope waveform coding. In contrast to prior work, we model the encoder output layer as a phase modulation layer with a complex exponential activatio
Publikováno v:
UEMCON
Incremental learning after deployment is one of several attractive capabilities that motivate the use of neural network demodulators. This paper presents a complex noncoherent neural network suitable for on-off key (OOK) demodulation. When trained in
Autor:
Nurgun Erdol, Richard S. Nemeth, Michelle T. Schärer-Umpierre, Laurent M. Chérubin, Hanqi Zhuang, Ali K. Ibrahim, Ali Muhamed Ali
Publikováno v:
The Journal of the Acoustical Society of America. 148(3)
A transfer learning approach is proposed to classify grouper species by their courtship-associated sounds produced during spawning aggregations. Vessel sounds are also included in order to potentially identify human interaction with spawning fish. Gr
Publikováno v:
2013 ASEE Annual Conference & Exposition Proceedings.
Publikováno v:
CCWC
Artificial neural networks (ANNs) are increasingly being considered for physical layer communications, an area where traditional statistical signal processing and decision theory have been successful. In addition to being able to learn these traditio