Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Michiel Boes"'
Autor:
Karlo Filipan, Michiel Boes, Bert De Coensel, Catherine Lavandier, Pauline Delaitre, Hrvoje Domitrović, Dick Botteldooren
Publikováno v:
Applied Sciences, Vol 7, Iss 1, p 91 (2017)
Previous research has shown that tranquil areas in the city, such as urban parks, are usually perceived as positive and have a restorative effect on visitors. However, visitors could experience these spaces differently depending on the meaning they a
Externí odkaz:
https://doaj.org/article/a3cf11c53bb94439859ade8d8318fef2
Autor:
Mostafa Naseri, Adnan Shahid, Gert-Jan Gordebeke, Sam Lemey, Michiel Boes, Samuel Van De Velde, Eli De Poorter
Publikováno v:
IEEE COMMUNICATIONS LETTERS
This letter analyzes the feasibility of deep convolutional neural networks (DCNN) for accurate ultra-wideband (UWB) angle of arrival estimation that is robust against hardware imperfections. To this end, a uniform linear array with four antenna eleme
Autor:
Dick Botteldooren, Bert De Coensel, Michiel Boes, Annelies Bockstael, Bernard De Baets, Damiano Oldoni
Publikováno v:
LANDSCAPE AND URBAN PLANNING
Detecting and selecting sound events is emerging as an interesting technique for characterizing and representing the sound environment of a specific location. In this article we propose a computational model for automatically constructing a so-called
Publikováno v:
ACTA ACUSTICA UNITED WITH ACUSTICA
The increasing importance attributed to soundscape quality in urban design generates a need for a system for automatic quality assessment that could be used for example in monitoring. In this work, the possibility for using machine listening techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcf72310331ef32da30aa53032f0a102
https://biblio.ugent.be/publication/8578814/file/8578815
https://biblio.ugent.be/publication/8578814/file/8578815
Publikováno v:
Drones and the Creative Industry ISBN: 9783319952604
The authors explain their innovative positioning system and its application for the indoor aerial and the creative industries. First, they analyse the current technologies available. Then, they explore the possibility of making an IPS for a creative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::109487c21f2389f87bfe43a08dd6292b
https://doi.org/10.1007/978-3-319-95261-1_8
https://doi.org/10.1007/978-3-319-95261-1_8
Autor:
Catherine Lavandier, Pauline Delaitre, Hrvoje Domitrović, Michiel Boes, Bert De Coensel, Karlo Filipan, Dick Botteldooren
Publikováno v:
Applied Sciences
Applied Sciences, MDPI, 2017, 7 (1), pp.91. ⟨10.3390/app7010091⟩
Applied Sciences; Volume 7; Issue 1; Pages: 91
APPLIED SCIENCES-BASEL
Applied Sciences, Vol 7, Iss 1, p 91 (2017)
Applied Sciences, MDPI, 2017, 7 (1), pp.91. ⟨10.3390/app7010091⟩
Applied Sciences; Volume 7; Issue 1; Pages: 91
APPLIED SCIENCES-BASEL
Applied Sciences, Vol 7, Iss 1, p 91 (2017)
International audience; Previous research has shown that tranquil areas in the city, such as urban parks, are usuallyperceived as positive and have a restorative effect on visitors. However, visitors could experience thesespaces differently depending
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00d1c478f44a5b1f53652bdb64bc49f5
https://hal.archives-ouvertes.fr/hal-01465093
https://hal.archives-ouvertes.fr/hal-01465093
Autor:
Michael Rademaker, Bernard De Baets, Michiel Boes, Damiano Oldoni, Dick Botteldooren, Timothy Van Renterghem, Bert De Coensel
Publikováno v:
The Journal of the Acoustical Society of America. 134:852-861
Urban soundscape design involves creating outdoor spaces that are pleasing to the ear. One way to achieve this goal is to add or accentuate sounds that are considered to be desired by most users of the space, such that the desired sounds mask undesir
Publikováno v:
IJCNN
IEEE International Joint Conference on Neural Networks (IJCNN)
IEEE International Joint Conference on Neural Networks (IJCNN)
In this paper, the long-term learning properties of an artificial neural network model, designed for sound recognition and computational auditory scene analysis in general, are investigated. The model is designed to run for long periods of time (week
Publikováno v:
IJCNN
Proceedings of the International Joint Conference on Neural Networks
Proceedings of the International Joint Conference on Neural Networks
In this paper, a human-mimicking model for sound source recognition is presented. It consists of an artificial neural network with three neuron layers (input, middle and output) that are connected by feedback connections between the output and middle
Autor:
Dick Botteldooren, Timothy Van renterghem, Damiano Oldoni, Dauwe Samuel, Luc Dekoninck, Pieter Thomas, Weigang Wei, Michiel Boes, Bert De Coensel, Bernard De Baets, Bart Dhoedt
Publikováno v:
Proceedings of Meetings on Acoustics.