Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mimoun Lamrini"'
Publikováno v:
Sensors, Vol 24, Iss 13, p 4084 (2024)
In recent years, smart water sensing technology has played a crucial role in water management, addressing the pressing need for efficient monitoring and control of water resources analysis. The challenge in smart water sensing technology resides in e
Externí odkaz:
https://doaj.org/article/3f07df020fc34ae5beca7a1fe6d32b14
Autor:
Quentin Quevy, Mimoun Lamrini, Mohamed Chkouri, Gianluca Cornetta, Abdellah Touhafi, Alexandre Campo
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 4, Pp 27-41 (2023)
Water is a major preoccupation for our generation since it is crucial in keeping a healthy ecosystem and supporting biodiversity. The state of aquatic systems and water bodies needs to be continuously monitored to make informed decisions and trigger
Externí odkaz:
https://doaj.org/article/175abf3f0a1842379c861cdb7db07b44
Publikováno v:
Sensors, Vol 23, Iss 13, p 6227 (2023)
Environmental Sound Recognition (ESR) plays a crucial role in smart cities by accurately categorizing audio using well-trained Machine Learning (ML) classifiers. This application is particularly valuable for cities that analyzed environmental sounds
Externí odkaz:
https://doaj.org/article/e666813e618a45a1bd825bdba3ac0530
Autor:
Lancelot Lhoest, Mimoun Lamrini, Jurgen Vandendriessche, Nick Wouters, Bruno da Silva, Mohamed Yassin Chkouri, Abdellah Touhafi
Publikováno v:
Applied Sciences, Vol 11, Iss 18, p 8394 (2021)
Environmental Sound Recognition has become a relevant application for smart cities. Such an application, however, demands the use of trained machine learning classifiers in order to categorize a limited set of audio categories. Although classical mac
Externí odkaz:
https://doaj.org/article/bdbd5bbaef464353b1606b50ca8fdf03
Autor:
Mohamed Yassin Chkouri, Quentin Quévy, Abdellah Touhafi, Mimoun Lamrini, Alexandre Campo, Gianluca Cornetta
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society. 4:27-41
Water is a major preoccupation for our generation since it is crucial in keeping a healthy ecosystem and supporting biodiversity. The state of aquatic systems and water bodies needs to be continuously monitored to make informed decisions and trigger
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::099186dd7446eae88925939ed84c21d6
https://doi.org/10.1109/ojies.2022.3233919
https://doi.org/10.1109/ojies.2022.3233919
Publikováno v:
Sensors; Volume 23; Issue 13; Pages: 6227
Environmental Sound Recognition (ESR) plays a crucial role in smart cities by accurately categorizing audio using well-trained Machine Learning (ML) classifiers. This application is particularly valuable for cities that analyzed environmental sounds
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::1c8401121f549443a9baf2cdc1fd782e
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.
During the last years, natural water resources like ponds, lakes, and rivers have faced a significant threat due to mismanagement of activities like the discharge of untreated industrial effluents, sewage water, wastes, etc. Water plays an essential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e4bc1499f62eb62fb3e68706fa4f1ec
https://doi.org/10.1109/iecon49645.2022.9968643
https://doi.org/10.1109/iecon49645.2022.9968643
Publikováno v:
Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) ISBN: 9783030906382
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2030c2c974810de3bdb770eb2a8c90a2
https://doi.org/10.1007/978-3-030-90639-9_25
https://doi.org/10.1007/978-3-030-90639-9_25
Autor:
Mimoun Lamrini, Nick Wouters, Jurgen Vandendriessche, Abdellah Touhafi, Mohamed Yassin Chkouri, Bruno da Silva
Publikováno v:
Electronics
Volume 10
Issue 21
Electronics, Vol 10, Iss 2622, p 2622 (2021)
Volume 10
Issue 21
Electronics, Vol 10, Iss 2622, p 2622 (2021)
In recent years, Environmental Sound Recognition (ESR) has become a relevant capability for urban monitoring applications. The techniques for automated sound recognition often rely on machine learning approaches, which have increased in complexity in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51a4c7c2fb3a7a9c6ab9f402bba2fa6c
Autor:
Mimoun Lamrini, Nick Wouters, Jurgen Vandendriessche, Bruno da Silva, Mohamed Yassin Chkouri, Lancelot Charles Lhoest, Abdellah Touhafi
Publikováno v:
Applied Sciences
Volume 11
Issue 18
Applied Sciences, Vol 11, Iss 8394, p 8394 (2021)
Volume 11
Issue 18
Applied Sciences, Vol 11, Iss 8394, p 8394 (2021)
Environmental Sound Recognition has become a relevant application for smart cities. Such an application, however, demands the use of trained machine learning classifiers in order to categorize a limited set of audio categories. Although classical mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d89255e8fa03bcba6cd664e7d173be1c
https://doi.org/10.3390/app11188394
https://doi.org/10.3390/app11188394