We present a frequency-domain modeling technique for second-order nonlinear metasurfaces. The technique is derived from the generalized sheet transition conditions (GSTCs), which have been so far mostly used for modeling linear metasurfaces. In this work, ...
Human activities are resulting in many land-use changes, particularly due to urbanisation and intensification of agricultural practices. Because of these changes, in addition to climate change, many species are facing habitat degradation. In order to avoid ...
Habitat fragmentation and land use changes are causing major biodiversity losses. Connectivity of the landscape or environmental conditions alone can shape biodiversity patterns. In nature, however, local habitat characteristics are often intrinsically lin ...
Disentangling the mechanisms mediating the coexistence of habitat specialists and generalists has been a long-standing subject of investigation. However, the roles of species traits and environmental and spatial factors have not been assessed in a unifying ...
UrbanSim is an integrated transportation land-use model that has been under development since the late 1990s. It has received a significant amount of attention in the integrated modeling community. It is well known for its disaggregated approach. A number ...
UrbanSim is an integrated transportation land-use model that has been under development since the late 1990s. It has received a significant amount of attention in the integrated modeling community. It is well known for its disaggregated approach. A number ...
UrbanSim is an integrated transportation land-use model that has been under development since the late 1990s. It has received a significant amount of attention in the integrated modeling community. It is well known for its disaggregated approach. A number ...
Global biodiversity is experiencing a worrying decline. Habitats destruction, associated to their degradation and fragmentation are among the greatest causes. Amphibians are particularly interesting because they are more threatened and decline more rapidly ...
An important branch of computer vision is image segmentation. Image segmentation aims at extracting meaningful objects lying in images either by dividing images into contiguous semantic regions, or by extracting one or more specific objects in images such ...
