Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Lamine Bougueroua"'
Autor:
Jean-Charles Huet, Lamine Bougueroua, Yassine Kriouile, Katarzyna Wegrzyn-Wolska, Corinne Ancourt
Publikováno v:
Applied Sciences, Vol 12, Iss 21, p 11179 (2022)
The use of information and communication technologies (ICT) in agriculture is far from their potential. In this article, we consider how to facilitate and systematize the process of transforming traditional agriculture into digital agriculture; Agric
Externí odkaz:
https://doaj.org/article/6bffb022b9204ad7a83877f29c73a92e
Publikováno v:
Applied Intelligence. 53:2488-2505
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39719e9be664c2c0aa193c32b128334d
https://doi.org/10.1007/s10489-022-03357-y
https://doi.org/10.1007/s10489-022-03357-y
Autor:
Salim Ghanemi, Wgrzyn-Wolska Katarzyna, Lamine Bougueroua, Mohamed Saber Rais, Khouloud Zouaidia
Publikováno v:
Neural Computing and Applications. 33:16591-16608
Nowadays wind power is considered as one of the fastest growing alternative energies, that is expected to continue to grow rapidly in the upcoming years.Depending on the countries that invent, generate and export the green energy technologies,the wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bc4149f5131328f8ae84e338fd00b68
https://doi.org/10.1007/s00521-021-06255-5
https://doi.org/10.1007/s00521-021-06255-5
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c690d4b8d38374fdd198f71c5cbbe88
https://doi.org/10.5220/0010815000003124
https://doi.org/10.5220/0010815000003124
Publikováno v:
JETSAN 2021-Colloque en Télésanté et dispositifs biomédicaux-8ème édition
JETSAN 2021-Colloque en Télésanté et dispositifs biomédicaux-8ème édition, Université Toulouse III-Paul Sabatier [UPS], May 2021, Toulouse, Blagnac, France
HAL
JETSAN 2021-Colloque en Télésanté et dispositifs biomédicaux-8ème édition, Université Toulouse III-Paul Sabatier [UPS], May 2021, Toulouse, Blagnac, France
HAL
International audience; Automatic emotions recognition is a great research subjectnowadays. It applies in different fields as robotic, data analysis, E-health. We can use different supports for emotions recognition: text,vision and voice. These three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::57b57e21e0c3ec1add53aab5c896925e
https://hal.archives-ouvertes.fr/hal-03501193/document
https://hal.archives-ouvertes.fr/hal-03501193/document
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030711863
ISDA
The International Conference on Intelligent Systems Design and Applications (ISDA)
The International Conference on Intelligent Systems Design and Applications (ISDA), Dec 2020, WWW, France
ISDA
The International Conference on Intelligent Systems Design and Applications (ISDA)
The International Conference on Intelligent Systems Design and Applications (ISDA), Dec 2020, WWW, France
International audience; Since the application of information and communications technologies (ICT) to agriculture is far from the potential, we investigate how to systematize the process of transformation. In this article, we propose a new approach t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbca79151b36ea83c5444d9e587a4a97
https://doi.org/10.1007/978-3-030-71187-0_103
https://doi.org/10.1007/978-3-030-71187-0_103
Publikováno v:
Hybrid Intelligent Systems ISBN: 9783030143466
HIS
HIS
The aim of this paper is to present an innovative way for assisting beekeepers during the process of taking care of their apiary based on text mining and deep learning. To reach this goal, we propose an innovative social media Chatbot called ApiSoft.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57caea493b0cf9c88366adb3d455bbff
https://doi.org/10.1007/978-3-030-14347-3_29
https://doi.org/10.1007/978-3-030-14347-3_29
Autor:
Katarzyna Wegrzyn-Wolska, Lamine Bougueroua, Krzysztof Tyburek, Corinne Ancourt, Dariusz Mikołajewski, Piotr Prokopowicz, Catherine Marechal
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030162719
High-Performance Modelling and Simulation for Big Data Applications
HAL
High-Performance Modelling and Simulation for Big Data Applications, Springer, pp 307-324, 2019, 978-3-030-16272-6
High-Performance Modelling and Simulation for Big Data Applications
HAL
High-Performance Modelling and Simulation for Big Data Applications, Springer, pp 307-324, 2019, 978-3-030-16272-6
International audience; Automatic emotion recognition constitutes one of the great chal-lenges providing new tools for more objective and quicker diagnosis, commu-nication and research. Quick and accurate emotion recognition may increasepossibilities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66e6ae90c7b161c445bbf4cf6c22161c
https://doi.org/10.1007/978-3-030-16272-6_11
https://doi.org/10.1007/978-3-030-16272-6_11
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319591612
CORES
CORES
In this paper we present and validate the MC (Multiclassifier) system for Tweet classification related to flu and its symptoms. Proposed method consists of a preprocessing phase applying NLTK processor with converter from text corpora into feature sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5ce9ecc72a073c78690ecb140e6d417
https://hal.archives-ouvertes.fr/hal-01858276
https://hal.archives-ouvertes.fr/hal-01858276
Publikováno v:
Computer Science & Information Technology ( CS & IT ).
In recent years, Twitter Sentiment Analysis (TSA) has become a hot research topic. The target of this task is to analyse the sentiment polarity of the tweets. There are a lot of machine learning methods specifically developed to solve TSA problems, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5396584170c30dffc906532384482981
https://doi.org/10.5121/csit.2016.61006
https://doi.org/10.5121/csit.2016.61006