Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tehseen Ul Hassan"'
Publikováno v:
The Journal of Engineering (2019)
Conventional subspace decomposition-based direction of arrival (DOA) estimation methods require eigenvalue decomposition of spatial covariance matrix, therefore these methods are computationally intensive, and their implementation is difficult in rea
Externí odkaz:
https://doaj.org/article/8f1ad2b5525a4834b6006da2bdf5c2b7
Autor:
Tehseen Ul Hassan, Fei Gao
Publikováno v:
Sensors, Vol 19, Iss 9, p 2015 (2019)
The femtocell has evolved as a great solution for improving coverage and traffic offloading from the current LTE cellular networks, and it accomplishes the dreams of the high data rate for indoor mobile users. However, the exponentially expanding LTE
Externí odkaz:
https://doaj.org/article/ce21796ec2714d69b2b20014017a58e2
Publikováno v:
Future Internet, Vol 11, Iss 2, p 42 (2019)
Human activity recognition is an active field of research in computer vision with numerous applications. Recently, deep convolutional networks and recurrent neural networks (RNN) have received increasing attention in multimedia studies, and have yiel
Externí odkaz:
https://doaj.org/article/9501f5797223418fa6fe750e5a0f9cc0
Publikováno v:
Information, Vol 9, Iss 11, p 277 (2018)
Recently, direction of arrival (DOA) estimation premised on the sparse arrays interpolation approaches, such as co-prime arrays (CPA) and nested array, have attained extensive attention because of the effectiveness and capability of providing higher
Externí odkaz:
https://doaj.org/article/bc872ad08cc94b45be9a049ce67b1559
Publikováno v:
Future Internet, Vol 10, Iss 3, p 25 (2018)
The overlay integration of low-power femtocells over macrocells in a heterogeneous network (HetNet) plays an important role in dealing with the increasing demand of spectral efficiency, coverage and higher data rates, at a nominal cost to network ope
Externí odkaz:
https://doaj.org/article/8b6c7296a4454a1cbd57570f3a08c376
Publikováno v:
International Journal of Computers and Applications. 42:474-484
This paper introduces an efficient video representation method based on the dense trajectory motion map (DTM). We utilize the salient features of dense trajectories and motion descriptor to integra...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b945638f81572d87805d061c33d33c34
https://doi.org/10.1080/1206212x.2018.1486001
https://doi.org/10.1080/1206212x.2018.1486001
Publikováno v:
Information, Vol 9, Iss 11, p 277 (2018)
Information
Volume 9
Issue 11
Information
Volume 9
Issue 11
Recently, direction of arrival (DOA) estimation premised on the sparse arrays interpolation approaches, such as co-prime arrays (CPA) and nested array, have attained extensive attention because of the effectiveness and capability of providing higher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cd9e9b2f3f955b1646d7bd03982eb77
https://www.mdpi.com/2078-2489/9/11/277
https://www.mdpi.com/2078-2489/9/11/277
Autor:
Fei Gao, Tehseen Ul Hassan
Publikováno v:
Sensors, Vol 19, Iss 9, p 2015 (2019)
Sensors
Volume 19
Issue 9
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 9
Sensors (Basel, Switzerland)
The femtocell has evolved as a great solution for improving coverage and traffic offloading from the current LTE cellular networks, and it accomplishes the dreams of the high data rate for indoor mobile users. However, the exponentially expanding LTE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec66ea1c119a022285de88bca22bf065
https://doi.org/10.3390/s19092015
https://doi.org/10.3390/s19092015
Publikováno v:
Future Internet, Vol 11, Iss 2, p 42 (2019)
Future Internet
Volume 11
Issue 2
Future Internet
Volume 11
Issue 2
Human activity recognition is an active field of research in computer vision with numerous applications. Recently, deep convolutional networks and recurrent neural networks (RNN) have received increasing attention in multimedia studies, and have yiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f27cfd226e83f990e25e24db9de25c49
https://doi.org/10.3390/fi11020042
https://doi.org/10.3390/fi11020042