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Viktoriya Tsyganskaya, Sandro Martinis and Philip Marzahn
Synthetic Aperture Radar (SAR) is particularly suitable for large-scale mapping of inundations, as this tool allows data acquisition regardless of illumination and weather conditions. Precise information about the flood extent is an essential foundation ...
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Julio Garrote, Ignacio Gutiérrez-Pérez and Andrés Díez-Herrero
Calibration and validation of flood risk maps at a national or a supra-national level remains a problematic aspect due to the limited information available to carry out these tasks. However, this validation is essential to define the representativeness o...
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Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac...
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Wiske Rotinsulu,Hengky Walangitan,Afandi Ahmad
Pág. 161 - 169
Monitoring land cover change is important to be done in order to understand changing mechanism and to model impacts of the change to environment and ecosystem in different scale. Research on change detection of the Tondano watershed for the period ...
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Ivan Wallan Tertuliano, Eric Matheus Rocha Lima, Vivian Oliveira, Bruna Alves Santana, Vladan Pavlovic, Afonso Antonio Machado
Research Question: the paper investigates the influence of the size of the squad and the club's expenditures on football in the final classification in seasons 2008 to 2016 of the first division of the Brazilian Football League (Serie A). Motivation: Con...
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Bambang Setio Budianto,Muhammad Yanuar Jarwadi Purwanto,Widiatmaka Widiatmaka,Lilik Budi Prasetyo
Pág. 120 - 126
Various natural disasters, such as floods and landslides, are often associated with extreme weather conditions, especially rainfall, where in fact the possibility of such a disaster will be smaller if the carrying capacity of the land is still good. The ...
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Wael Bakhit, Marwa Ziadeh, Zouhour El Abiad
Pág. 109 - 122
The contemporary economy has changed dramatically and moved from the industrial age to the information age, pushing businesses to embark into a predominantly intangible economy. Thus, and in addition to solid and liquid value, there is a gaseous value wh...
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Ana-Maria ?tefan, Nicu-Razvan Rusu, Elena Ovreiu and Mihai Ciuc
This article introduces a groundbreaking medical information system developed in Salesforce, featuring an automated classification module for ocular and skin pathologies using Google Teachable Machine. Integrating cutting-edge technology with Salesforce?...
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Guy Austern, Tanya Bloch and Yael Abulafia
The application of machine learning (ML) for the automatic classification of building elements is a powerful technique for ensuring information integrity in building information models (BIMs). Previous work has demonstrated the favorable performance of s...
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Yu Sun and Zhiqiang Zhang
Accurately classifying degraded images is a challenging task that relies on domain expertise to devise effective image processing techniques for various levels of degradation. Genetic Programming (GP) has been proven to be an excellent approach for solvi...
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