Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Barbara Cardone"'
Autor:
Barbara Cardone, Ferdinando Di Martino
Publikováno v:
Information, Vol 15, Iss 10, p 615 (2024)
Analyzing the uncertainty of outcomes based on estimates of the data’s membership degrees to fuzzy sets is essential for making decisions. These fuzzy sets are often designated by experts as strong fuzzy partitions of the data domain with trapezoid
Externí odkaz:
https://doaj.org/article/c01cd4d31d82464e8719691665255bf6
Publikováno v:
Land, Vol 13, Iss 8, p 1253 (2024)
This research presents a GIS-based framework used to detect urban heat islands and determine which urban settlement elements are most critical when heatwave risks exist. The proposed method uses the Iterative Self-Organizing Data Analysis (ISODATA) c
Externí odkaz:
https://doaj.org/article/f7530e95db8d483dbfaf7e98870425d3
Publikováno v:
Computers, Vol 13, Iss 6, p 143 (2024)
This research presents a new method for detecting urban areas critical for the presence of air pollutants during periods of heatwaves. The proposed method uses a geospatial model based on the construction of Thiessen polygons and a fuzzy model based
Externí odkaz:
https://doaj.org/article/d7bd0fe1e6054067ab5dc3c277d36c1a
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 3066 (2024)
One of the issues of greatest interest in urban planning today concerns the evaluation of the most vulnerable urban areas in the presence of different types of climate hazards. In this research, a hierarchical fuzzy MCDA model is implemented on a GIS
Externí odkaz:
https://doaj.org/article/6eb8834ac1f04745b8167ac593e8f134
Publikováno v:
Urban Science, Vol 8, Iss 1, p 7 (2024)
The application of sentiment analysis approaches to information flows extracted from the social networks connected to particular critical periods generated by pandemic, climatic and extreme environmental phenomena allow the decision maker to detect t
Externí odkaz:
https://doaj.org/article/3831e60c3085429ba335e4d04d9685f1
Publikováno v:
Sensors, Vol 23, Iss 24, p 9641 (2023)
Image segmentation is a well-known image processing task that consists of partitioning an image into homogeneous areas. It is applied to remotely sensed imagery for many problems such as land use classification and landscape changes. Recently, severa
Externí odkaz:
https://doaj.org/article/13fe6fba530748e58bf870aab61ad8bf
Publikováno v:
Computation, Vol 11, Iss 10, p 191 (2023)
This research proposes a new image compression method based on the F1-transform which improves the quality of the reconstructed image without increasing the coding/decoding CPU time. The advantage of compressing color images in the YUV space is due t
Externí odkaz:
https://doaj.org/article/097e61d402074596b8d5fee82e66a63b
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 5893 (2023)
Many sentiment analysis methods have been proposed recently to evaluate, through the Web, the perceptions of users and their satisfaction with the use of products and services; these approaches have been applied in various fields in which it is neces
Externí odkaz:
https://doaj.org/article/0a9050e6d6164b08b3411172b22ba7ec
Autor:
Barbara Cardone, Valeria D’Ambrosio, Ferdinando Di Martino, Vittorio Miraglia, Marina Rigillo
Publikováno v:
Land, Vol 12, Iss 3, p 523 (2023)
The aim of this research is to provide a GIS model by which to evaluate the ecological benefits of increasing green spaces in dense cities. The research method consists of three stages. First, we apply a GIS-based model to assess the ecological effic
Externí odkaz:
https://doaj.org/article/17ee557b806146babdc06d5d5e98a68c
Autor:
Barbara Cardone, Ferdinando Di Martino
Publikováno v:
Algorithms, Vol 16, Iss 3, p 128 (2023)
The bi-dimensional F1-Transform was applied in image analysis to improve the performances of the F-transform method; however, due to its high computational complexity, the multidimensional F1-transform cannot be used in data analysis problems, especi
Externí odkaz:
https://doaj.org/article/9cf025656825473aa702484b42cf7288