Information content of prior hydrological knowledge in EGU visitors for streamflow prediction
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Information is the resolution of uncertainty and manifests itself as patterns. Although complex, most observable phenomena are not random and instead are associated with deterministic, chaotic systems. The underlying patterns and symmetries expressed from ...
This article introduces the task of visual question answering for remote sensing data (RSVQA). Remote sensing images contain a wealth of information, which can be useful for a wide range of tasks, including land cover classification, object counting, or de ...
In developed countries, structural assessment of existing bridges should not be performed using the same conservative models that are used at the design stage. Field measurements of real behavior provide additional information for the inference of previous ...
In developed countries, the management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Due to conservative approaches in construction design and practice, infrastructure often has hidden re ...
It is very common to reuse published (or unpublished) content in a thesis (e.g. in the case of the theses made of a compilation of published articles). It is therefore important to ensure that the use (or reuse) is possible and to ask for authorizations fr ...
The management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Civil infrastructure often has hidden reserve capacity because of conservative approaches used in design and during constructi ...
One of the greatest challenges for the socio-spatial integration of informal settlements to the “formal” urban fabric, equipped with basic infrastructures and services, is the critical lack of data on the populations and the built environments of those set ...
Information concentration of probability measures have important implications in learning theory. Recently, it is discovered that the information content of a log-concave distribution concentrates around their differential entropy, albeit with an unpleasan ...
We present an end-to-end deep Convolutional Neural Network called Convolutional Relational Machine (CRM) for recognizing group activities that utilizes the information in spatial relationsbetween individualpersons in image or video. It learns to produce an ...
Information has long been considered a commodity, something that organizations and individuals can trade for financial gain (Chandler, 1993). And, the networks via which information flowed have long had a conflictual relationship with power and control, bu ...
