Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Reda Adjoudj"'
Applying Machine Learning and Model-Driven Approach for the Identification and Diagnosis Of Covid-19
Publikováno v:
International Journal of Distributed Systems and Technologies. 14:1-27
Ubiquitous environments are not fixed in time. Entities are constantly evolving; they are dynamic. Ubiquitous applications therefore have a strong need to adapt during their execution and react to the context changes, and developing ubiquitous applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b7c3ebb5cdb793ea03dbaa2bd7aa28e
https://doi.org/10.4018/ijdst.321648
https://doi.org/10.4018/ijdst.321648
Publikováno v:
International Journal of Computing and Digital Systems. 12:675-685
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1e5c2094ab00ac0db87da09a7ba5c5c
https://doi.org/10.12785/ijcds/120155
https://doi.org/10.12785/ijcds/120155
Publikováno v:
International Journal of Organizational and Collective Intelligence. 12:1-30
The field of biometrics represents an important domain and is currently undergoing extensive research to improve data security. Among the most used biometric modalities, we find the iris which, is specific and adequate. It is unique for each human be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9a27f867920d88ec869ad30afd45173
https://doi.org/10.4018/ijoci.305210
https://doi.org/10.4018/ijoci.305210
Publikováno v:
2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI).
The present study propose a smart tooled process based on an MDA approach for the design of ubiquitous applications taking into account context information in order to deliver high-added value services. We will present our platform-independent model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d62a288bd9649ae6477b7bd1659bdd6
https://doi.org/10.1109/icrami52622.2021.9585950
https://doi.org/10.1109/icrami52622.2021.9585950
Publikováno v:
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS).
This study investigates the possibilities of improving the classification of high spatial resolution images by using object-based approach, superpixel segmentation and compact texture unit descriptors. The proposed approach was implemented on Google
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed10552c4be2bf3cc2e6b7fc9a2a0942
https://doi.org/10.1109/m2garss47143.2020.9105181
https://doi.org/10.1109/m2garss47143.2020.9105181
Publikováno v:
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS).
This paper investigates the using of multiband compact texture unit descriptors for intra-band and inter-band texture analysis. The extracted features are used in a patch-based classification of optical Sentinel-2 and Radar and Sentinel-1 images over
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c36f63e56dfb5569af06f907b7eed69
https://doi.org/10.1109/m2garss47143.2020.9105236
https://doi.org/10.1109/m2garss47143.2020.9105236
Publikováno v:
Information Discovery and Delivery. 46:147-160
Purpose This paper aims to solve the problems of big data analytics for prediction including volume, veracity and velocity by improving the prediction result to an acceptable level and in the shortest possible time. Design/methodology/approach This p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de8de812ff11e9269596e5e816c469ae
https://doi.org/10.1108/idd-02-2018-0002
https://doi.org/10.1108/idd-02-2018-0002
Autor:
Reda Adjoudj, Leila Zoubida
Publikováno v:
International Journal of Image, Graphics and Signal Processing. 9:10-21
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e563174fdc7d9699bd5c86d654b3aab6
https://doi.org/10.5815/ijigsp.2017.04.02
https://doi.org/10.5815/ijigsp.2017.04.02
Autor:
Leila Zoubida, Reda Adjoudj
Publikováno v:
International Journal of Intelligent Systems and Applications. 9:8-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38942664e420fc90698aaaa053c3b1cc
https://doi.org/10.5815/ijisa.2017.03.02
https://doi.org/10.5815/ijisa.2017.03.02
Publikováno v:
IGARSS
In remote sensing, supervised multiclass classifiers show a very promising performance in terms of classification accuracy. However, they require that all classes, in the study area, are labeled. In many applications, users may only be interested in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f04d486f73627e2449dc161354a46ebb
https://doi.org/10.1109/igarss.2019.8898974
https://doi.org/10.1109/igarss.2019.8898974