Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mahmut Cetin"'
Publikováno v:
Water Supply, Vol 23, Iss 3, Pp 1390-1404 (2023)
Estimation of crop water stress index (CWSI) and leaf area index (LAI) over large-irrigation schemes requires the use of cutting-edge technologies. Combinations of remote sensing techniques with ground-truth data have become available for use at the
Externí odkaz:
https://doaj.org/article/1fcb3504f0034e7db17805afb0a337ec
Publikováno v:
Journal of Agricultural Sciences, Vol 27, Iss 1, Pp 88-97 (2021)
Groundwater is a major drinking water resource in arid coastal regions. The groundwater quality of Bosaso city experienced degradation due to rapid urbanization and industrialization. This study was carried out to delineate the spatial distribution o
Externí odkaz:
https://doaj.org/article/ede991ef0cea431fbffb02f5855e07d9
Publikováno v:
Hydrological Sciences Journal. :1-22
Publikováno v:
Mediterranean Geoscience Reviews. 5:35-49
Publikováno v:
Natural Hazards. 111:2379-2405
Publikováno v:
Arabian Journal of Geosciences. 14
Publikováno v:
Journal of Agricultural Sciences, Vol 29, Iss 2, Pp 677-689 (2023)
Determining cropping patterns is crucial for quantifying irrigation water requirements at a catchment scale. For this reason, new and innovative technologies such as remote sensing (RS) and artificial neural networks (ANNs) are robust tools for gener
Externí odkaz:
https://doaj.org/article/959becd68ced44c693571e321a16072f
Autor:
M. Fatih Amasyali, Mahmut Cetin
Publikováno v:
2013 IEEE INISTA.
Sentiment analysis/classification is a widely studied problem of natural language processing and data mining. With the availability of social media, there are a lot of data but it's hard to find a labeled training set because of its high cost. The go