Sökning: "stream"
Visar resultat 1 - 5 av 796 avhandlingar innehållade ordet stream.
1. Forest – stream linkages : Brown trout (Salmo trutta) responses to woody debris, terrestrial invertebrates and light
Sammanfattning : Forests surrounding streams affect aquatic communities in numerous ways, contributing to energy fluxes between terrestrial and lotic ecosystems. The five papers in this thesis focus on woody debris, terrestrial invertebrates and light, three factors influenced by riparian zone structure, potentially affecting streams and brown trout (Salmo trutta). LÄS MER
2. Fine stream wood : effects on drift and brown trout (Salmo trutta) growth and behaviour
Sammanfattning : Stream ecosystems and their riparian zones have previously been regarded as two different ecosystems, linked through numerous reciprocal subsidies. Today, ecologists agree that the stream and the riparian zone should be regarded as one system, the stream-riparian ecosystem, which is characterised largely by the subsidies between land and water. LÄS MER
3. Spatio-Temporal Stream Reasoning with Adaptive State Stream Generation
Sammanfattning : A lot of today's data is generated incrementally over time by a large variety of producers. This data ranges from quantitative sensor observations produced by robot systems to complex unstructured human-generated texts on social media. With data being so abundant, making sense of these streams of data through reasoning is challenging. LÄS MER
4. Scalable Scientific Stream Query Processing
Sammanfattning : Scientific applications require processing of high-volume on-line streams of numerical data from instruments and simulations. In order to extract information and detect interesting patterns in these streams scientists need to perform on-line analyses including advanced and often expensive numerical computations. LÄS MER
5. Robust Stream Reasoning Under Uncertainty
Sammanfattning : Vast amounts of data are continually being generated by a wide variety of data producers. This data ranges from quantitative sensor observations produced by robot systems to complex unstructured human-generated texts on social media. LÄS MER