Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sabra El Ferchichi"'
Publikováno v:
Repositorio Digital de la Universidad Politécnica de Cartagena
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Weld defect detection is an important application in the field of Non-Destructive Testing (NDT). These defects are mainly due to manufacturing errors or welding processes. In this context, image processing especially segmentation is proposed to detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cbe1040b8540e23649faefe16116ba9
https://hdl.handle.net/10317/10376
https://hdl.handle.net/10317/10376
Publikováno v:
2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET).
Non-Destructive Testing (NDT) plays an important role in ensuring the reliable performance of welded components. Although, radiography is one of the most used techniques in weld defect inspection. It could become a challenging task since radiographic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25e94ad0614699f2dc1d0c7c3b70f9e5
https://doi.org/10.1109/aset.2018.8379826
https://doi.org/10.1109/aset.2018.8379826
Publikováno v:
2016 4th International Conference on Control Engineering & Information Technology (CEIT).
This paper presents an approach to ensure first order closed loop systems stability and robustness. Actually, those systems are characterized by uncertain bounded parameters and a complex changeable structure. Delay time is also an important drawback
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26eac18bfde3ff26bd2de80f0e2c3675
https://doi.org/10.1109/ceit.2016.7929088
https://doi.org/10.1109/ceit.2016.7929088
Publikováno v:
SMC
This paper describes a new technique for clustering data based on their trend characteristics. The technique that we propose proceed by incorporating a new distance based on qualitative trend analysis into Mean shift clustering algorithm. Mean shift
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2662c9022a225329198664fbf9512b17
https://doi.org/10.1109/smc.2013.323
https://doi.org/10.1109/smc.2013.323
Publikováno v:
IFIP Advances in Information and Communication Technology
12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI)
12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. pp.247-253, ⟨10.1007/978-3-642-23957-1_28⟩
Engineering Applications of Neural Networks ISBN: 9783642239564
EANN/AIAI (1)
12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI)
12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. pp.247-253, ⟨10.1007/978-3-642-23957-1_28⟩
Engineering Applications of Neural Networks ISBN: 9783642239564
EANN/AIAI (1)
Part 13: Feature Extraction - Minimization; International audience; When solving a pattern classification problem, it is common to apply a feature extraction method as a pre-processing step, not only to reduce the computation complexity but also to o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67c8b0a30e03f7f03c6fea1c23b7fc5b
https://hal.archives-ouvertes.fr/hal-00839017/file/978-3-642-23957-1_28_Chapter.pdf
https://hal.archives-ouvertes.fr/hal-00839017/file/978-3-642-23957-1_28_Chapter.pdf
Publikováno v:
International Conference on Communications, Computing and Control applications
International Conference on Communications, Computing and Control applications, Mar 2011, Hammamet, Tunisia. pp.1-6
International Conference on Communications, Computing and Control applications, Mar 2011, Hammamet, Tunisia. pp.1-6
International audience; Atmospheric data sets are represented by an amount of heterogeneous and redundant data. As number of measurements grows, a strategy is needed to select and efficiently analyze the useful information from the whole data set. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::731e8111a04b813b14c562c6014421e1
https://doi.org/10.1109/ccca.2011.6031491
https://doi.org/10.1109/ccca.2011.6031491
Publikováno v:
2009 3rd International Conference on Signals, Circuits and Systems (SCS).
In this paper we suggest an approach to select features for the Support Vector Machines (SVM). Feature selection is efficient in searching the most descriptive features which would contribute in increasing the effectiveness of the classifier algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1665763d8523c3d7fc9db3326e85f1f6
https://doi.org/10.1109/icscs.2009.5412341
https://doi.org/10.1109/icscs.2009.5412341
Publikováno v:
International Journal of Computers Communications & Control. 8:699
In this paper, a new unsupervised Feature Extraction appoach is presented, which is based on feature clustering algorithm. Applying a divisive clustering algorithm, the method search for a compression of the information contained in the original set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45608e4b279ae5cc3cd6d902b844fbd7
https://doi.org/10.15837/ijccc.2013.5.644
https://doi.org/10.15837/ijccc.2013.5.644