Zobrazeno 1 - 10
of 26
pro vyhledávání: '"A. Allaouzi"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W5-2021, Pp 57-63 (2021)
With the continued growth of confirmed cases of COVID-19, a highly infectious disease caused by a newly discovered coronavirus called Severe Acute Respiratory Syndrome Coronavirus 2, or SARS-CoV-2, there is an urgent need to find ways to help clinici
Externí odkaz:
https://doaj.org/article/3417ff57e11f49e4965dd37431bc8cb4
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W5-2021, Pp 57-63 (2021)
With the continued growth of confirmed cases of COVID-19, a highly infectious disease caused by a newly discovered coronavirus called Severe Acute Respiratory Syndrome Coronavirus 2, or SARS-CoV-2, there is an urgent need to find ways to help clinici
Publikováno v:
Journal of Ecological Engineering, Vol 21, Iss 4, Pp 26-38 (2020)
An accurate short-term global solar irradiation (GHI) forecast is essential for integrating the photovoltaic systems into the electricity grid by reducing some of the problems caused by the intermittency of solar energy, including rapid fluctuations
Autor:
Mohamed Ben Ahmed, Imane Allaouzi
Publikováno v:
IEEE Access, Vol 7, Pp 64279-64288 (2019)
Chest X-ray (CXR) is one of the most common types of radiology examination for the diagnosis of thorax diseases. Computer-aided diagnosis (CAD) was developed to help radiologists to achieve diagnostic excellence in a short period of time and to enhan
Publikováno v:
Advances in Science, Technology & Innovation ISBN: 9783030534394
Knowledge of the monthly global solar irradiation is crucial for the planning, design, and dimensioning of solar photovoltaic systems. However, global horizontal solar irradiation is not readily available at all sites. In this regard, the authors pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb7fb07e146f0b5be198e1336cc70a61
https://doi.org/10.1007/978-3-030-53440-0_30
https://doi.org/10.1007/978-3-030-53440-0_30
Publikováno v:
Innovations in Smart Cities Applications Edition 3 ISBN: 9783030376284
In this paper, we propose a new Visual Question Answering (VQA) System which is able to give an answer in natural language about an image and a natural language question. In our System, we have employed a Convolutional Neural Network (CNN) for visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49bd97ee5aca237f5d1f16c7d7d7edbf
https://doi.org/10.1007/978-3-030-37629-1_35
https://doi.org/10.1007/978-3-030-37629-1_35
Publikováno v:
SCA
This article presents our proposed system combining a Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN) for the visual question answering applied in the medical images characterization. In our proposed Encoder-Decoder Model we hav
Publikováno v:
SCA
With the increasing availability of medical images coming from different modalities (X-Ray, CT, PET, MRI, ultrasound, etc.), and the huge advances in the development of incredibly fast, accurate and enhanced computing power with the current graphics
Publikováno v:
SCA
This work aims to develop and validate empirical models for estimating global solar radiation at site of Alhoceima based on the meteorological data measured during the period 2010-2017. The empirical models studied in this paper are broken down into
Autor:
Mohamed Ben Ahmed, Allaouzi Imane
Publikováno v:
Innovations in Smart Cities and Applications ISBN: 9783319744995
SCA
SCA
Medical document written in natural language is available in electronic form, and it constitutes an invaluable source for medical research. This paper describes our system based on hybrid approach for the task of Named Entity Recognition and Normaliz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3597195d23457c405baf96044e36550d
https://doi.org/10.1007/978-3-319-74500-8_70
https://doi.org/10.1007/978-3-319-74500-8_70