Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Wadii Boulila"'
Autor:
Anis Koubaa, Maha Driss, Safa Ben Atitallah, Nesrine Atitallah, Wadii Boulila, Henda Ben Ghezala
Publikováno v:
KES
Recently, Convolutional Neural Networks (CNNs) have made a great performance for remote sensing image classification. Plant recognition using CNNs is one of the active deep learning research topics due to its added-value in different related fields,
Publikováno v:
KES
Constraint satisfaction problem (CSP) has been actively used for modeling and solving a wide range of complex real-world problems. However, it has been proven that developing efficient methods for solving CSP, especially for large problems, is very d
Publikováno v:
KES
The amount of remote sensing (RS) data has increased at an unexpected scale, due to the rapid progress of earth-observation and the growth of satellite RS and sensor technologies. Traditional relational databases attend their limit to meet the needs
Publikováno v:
KES
In recent years, the Internet of Things (IoT) technology has led to the emergence of multiple smart applications in different vital sectors including healthcare, education, agriculture, energy management, etc. IoT aims to interconnect several intelli
Publikováno v:
Ecological Informatics. 69:101607
Publikováno v:
Computers in Biology and Medicine. 136:104754
Obesity is considered a principal public health concern and ranked as the fifth foremost reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that leads to further health concerns and contributes to numerous chron
Publikováno v:
International Journal of Computational Science and Engineering
International Journal of Computational Science and Engineering, Inderscience, 2017, 23, pp.58-70. ⟨10.1016/j.jocs.2017.10.006⟩
International Journal of Computational Science and Engineering, Inderscience, 2017, 23, pp.58-70. ⟨10.1016/j.jocs.2017.10.006⟩
International audience; Most of the research on sensitivity analysis focus on models having only uncorrelated input parameters. In addition, the very few research that focus on models having correlated input parameters presume several assumptions abo
Autor:
Mohammed Al-Sarem, Mahmood Safaei, Maha Driss, Mokhtar Sellami, Wadii Boulila, Fuad A. Ghaleb
Publikováno v:
Computers and Electronics in Agriculture. 182:106014
Developments in remote sensing technology have led to a continuous increase in the volume of remote-sensing data, which can be qualified as big remote sensing data. A wide range of potential applications is using these data including land cover class
Publikováno v:
Ecological Informatics
Ecological Informatics, Elsevier, 2017, 37 (1), pp.24-37. ⟨10.1016/j.ecoinf.2016.11.006⟩
Ecological Informatics, Elsevier, 2017, 37 (1), pp.24-37. ⟨10.1016/j.ecoinf.2016.11.006⟩
International audience; An objective of satellite remote sensing is to predict or characterize the land cover change (LCC) over time. Sometimes we are capable of describing the changes of land cover with a probability distribution. However, we need s