Zobrazeno 1 - 10
of 180
pro vyhledávání: '"M, Maanan"'
Publikováno v:
In Journal of African Earth Sciences March 2025 223
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 77-82 (2024)
Amidst the rising prevalence of electric vehicles (EV) and the corresponding need for adequate charging infrastructures, this study presents an innovative application of deep learning models to analyze urban traffic. Utilizing the YOLO v3 model, our
Externí odkaz:
https://doaj.org/article/273120d6ec4d419bb5e7ef9e1e6f7dd8
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W9-2024, Pp 337-342 (2024)
A large portion of Morocco’s forest ecosystem is being damaged by human activity and climate change, which makes it crucial for the country to monitor forest dynamics and develop measures to counter these effects. The objective of this study was to
Externí odkaz:
https://doaj.org/article/12cd1e49ceb44940999d3eaf653f002a
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 1-5 (2023)
Accurate and efficient extraction of rural settlements from high-resolution remote sensing imagery is of paramount importance for rural government management. Unplanned rural settlements are quite common. Understanding the spatial characteristic of t
Externí odkaz:
https://doaj.org/article/703b4dbc8ede460e985f9a2350ecee1a
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 75-79 (2023)
Agriculture is a very important economic sector in Morocco, which requires a set of tools to improve agricultural production. Among these tools, the use of geomembrane basins. The latter is of great importance in smart farming planning, management pr
Externí odkaz:
https://doaj.org/article/5675dde777eb4061b4a480ab88fc4ff8
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 333-342 (2023)
Currently there is a public awareness to protect the environment especially forest ecosystems and the forest fire dilemma has become a topic of intense research around the world. In this setting, this study evaluates forest fire susceptibility (FFS)
Externí odkaz:
https://doaj.org/article/c2f7f0a4cb6749aa9cea02cfb33c0b3f
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 351-354 (2023)
Globally, Increasing greenhouse production is causing producing environmental issues. Monitoring the number and determining the locations of greenhouses are essential for the modern agricultural land management. The aim of this study was to detect pl
Externí odkaz:
https://doaj.org/article/dd54ecefac674a459b166a42e6d959b7
Publikováno v:
Zoodiversity, Vol 57, Iss 6 (2023)
The Oualidia lagoon on the Atlantic coast of Morocco provides important ecosystem services such as aquaculture, fisheries, tourism and high ecological and biological productivity. This is the first study to describe the spatio-temporal distribution o
Externí odkaz:
https://doaj.org/article/e870e11469cb4b1785d08df46309f6a4
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W3-2021, Pp 103-107 (2022)
Cheating in exams is a worldwide phenomenon that hinders efforts to assess the skills and growth of students. With scientific and technological progress, it has become possible to develop detection systems in particular a system to monitor the moveme
Externí odkaz:
https://doaj.org/article/e271ddd95e744eb9838e5bac41868f14
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W3-2021, Pp 115-122 (2022)
Storms represent an increased source of risk that affects human life, property, and the environment. Prediction of these events, however, is challenging due to their low frequency of occurrence. This paper proposed an artificial intelligence approach
Externí odkaz:
https://doaj.org/article/f5d6ea18f3b74ef9b845efd3d2c5e1de