Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Abdessamad Klilou"'
Publikováno v:
Sensors, Vol 23, Iss 23, p 9456 (2023)
Frequency modulated continuous wave (FMCW) radar is increasingly used for various detection and classification applications in different fields, such as autonomous vehicles and mining fields. Our objective is to increase the classification accuracy o
Externí odkaz:
https://doaj.org/article/383f7be7d3a041929abfd34944248f9a
Publikováno v:
Procedia Computer Science. 203:426-431
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f72a3803c7b7d0321d8415229ab2e44
https://doi.org/10.1016/j.procs.2022.07.056
https://doi.org/10.1016/j.procs.2022.07.056
Publikováno v:
Artificial Intelligence and Smart Environment ISBN: 9783031262531
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb04e24cddc00e6fafc3a0f823d5d078
https://doi.org/10.1007/978-3-031-26254-8_122
https://doi.org/10.1007/978-3-031-26254-8_122
Publikováno v:
2022 International Conference on Microelectronics (ICM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae03d12c9f583d0088e9aa97145b36c4
https://doi.org/10.1109/icm56065.2022.10005558
https://doi.org/10.1109/icm56065.2022.10005558
Publikováno v:
Journal of Food Measurement and Characterization. 13:1730-1738
Beef meat freshness was evaluated using artificial vision technique and pattern recognition algorithms. Color and texture features were extracted from the saturation images. The wavelet transform was used to characterize texture and a range of featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d1fc15f01a732d0f1a30f09407c30dc
https://doi.org/10.1007/s11694-019-00090-y
https://doi.org/10.1007/s11694-019-00090-y
Autor:
Mohamed Najoui, Mounir Bahtat, Abdessamad Klilou, Anas Hatim, Said Belkouch, Atman Jbari, Noureddine Chabini
Publikováno v:
Computers and Electrical Engineering. 102:108294
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::012f9e24b0d849b862b7f571f2a90798
https://doi.org/10.1016/j.compeleceng.2022.108294
https://doi.org/10.1016/j.compeleceng.2022.108294
Publikováno v:
2020 International Symposium on Advanced Electrical and Communication Technologies (ISAECT).
Detecting moving objects based on real-time video processing is considered as a challenging task. The background subtraction using the Gaussian Mixture Model (GMM) is one of the widely used technique. However, it requires high-computing power to meet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c780e1b64a3eb3877531a7476135328d
https://doi.org/10.1109/isaect50560.2020.9523671
https://doi.org/10.1109/isaect50560.2020.9523671
Publikováno v:
2020 International Symposium on Advanced Electrical and Communication Technologies (ISAECT).
Digital Pulse-Doppler radar signal processing chain (DPDR-SPC) is a computationally intensive chain. A massively parallel-embedded computing system was presented in this paper in order to meet real-time constraints. This system is based on sixteen di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32ec3926e1df2058e703678fcb89ce71
https://doi.org/10.1109/isaect50560.2020.9523653
https://doi.org/10.1109/isaect50560.2020.9523653
Publikováno v:
2020 IEEE 6th International Conference on Optimization and Applications (ICOA).
Beef meat is a high nutritious product as it is filled with proteins, vitamins, and many other nutrients that have many beneficial health effects. Global demand of meat are still increasing. Thus ensuring high quality and maintaining the freshness of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::666e4b6b9f6cdadb72a560f7a88612f6
https://doi.org/10.1109/icoa49421.2020.9094503
https://doi.org/10.1109/icoa49421.2020.9094503
Autor:
Noureddine El Barbri, Abdellah Halimi, Assia Arsalane, Karim Rhofir, Abdelmoumen Tabyaoui, Abdessamad Klilou
Publikováno v:
Computers and Electronics in Agriculture. 152:385-392
Statistical and artificial intelligence learning algorithms such as Principal Component Analysis (PCA) and Support Vector Machine (SVM) are widely used in many meat quality assessment applications to classify and predict the freshness of beef meat. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57ca91f95e828a03d73e1d688c49c78c
https://doi.org/10.1016/j.compag.2018.07.031
https://doi.org/10.1016/j.compag.2018.07.031