Results 1 to 10 of about 622,796 (261)
Remote Sensing, 2022 Traditional automatic pavement distress detection methods using convolutional neural networks (CNNs) require a great deal of time and resources for computing and are poor in terms of interpretability.
Yihan Chen +3 more
doaj +3 more sources
Land, 2018 Forests, particularly in the tropics, are suffering from deforestation and forest degradations. The estimation of forest area and canopy cover is an essential part of the establishment of a measurement, reporting, and verification (MRV) system that is ...
Zerihun Asrat +5 more
doaj +3 more sources
ISPRS International Journal of Geo-Information, 2019 Soil erosion processes are a type of geological hazard. They cause soil loss and sediment production, landscape dissection, and economic damage, which can, in the long term, result in land abandonment.
Petra Đomlija +3 more
doaj +3 more sources
Remote Sensing, 2014 Describing and quantifying the spatial heterogeneity of land cover in urban systems is crucial for developing an ecological understanding of cities. This paper presents a new approach to quantifying the fine-scale heterogeneity in urban landscapes that ...
Weiqi Zhou +3 more
doaj +3 more sources
Frontiers in Earth ScienceIntroductionLandslides occur frequently in Zhenxiong County, posing significant threats to residents’ lives and property. A comprehensive understanding of the development patterns of landslide disasters in this region is crucial for disaster prevention ...
Zhiwen Xue +13 more
doaj +3 more sources
Remote Sensing, 2021 This study assessed the accuracy of land cover change (2000–2018) maps compiled from Landsat images with either automated digital processing or with visual interpretation for a tropical forest area in Indonesia.
Inggit Lolita Sari +3 more
doaj +3 more sources
InterpreT: An Interactive Visualization Tool for Interpreting Transformers [PDF]
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021 With the increasingly widespread use of Transformer-based models for NLU/NLP tasks, there is growing interest in understanding the inner workings of these models, why they are so effective at a wide range of tasks, and how they can be further tuned and improved.
Vasudev Lal +8 more
openaire +1 more source
Network cartographs for interpretable visualizations [PDF]
Nature Computational Science, 2022 AbstractNetworks offer an intuitive visual representation of complex systems. Important network characteristics can often be recognized by eye and, in turn, patterns that stand out visually often have a meaningful interpretation. In conventional network layout algorithms, however, the precise determinants of a node’s position within a layout are ...
Christiane V. R. Hütter +3 more
openaire +2 more sources
A Real-Time Application for the Analysis of Multi-Purpose Vending Machines with Machine Learning
Sensors, 2023 With the development of mobile payment, the Internet of Things (IoT) and artificial intelligence (AI), smart vending machines, as a kind of unmanned retail, are moving towards a new future.
Yu Cao +4 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2021 Inventories of historical landslides play an important role in the assessment of natural hazards. In this study, we used high-resolution satellite imagery from Google Earth to interpret large landslides in Baoji city, Shaanxi Province on the southwestern
Lei Li +4 more
doaj +1 more source