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Titlebook: Environmental Software Systems. Computer Science for Environmental Protection; 12th IFIP WG 5.11 In Ji?í H?ebí?ek,Ralf Denzer,Tomá? Pitner

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樓主: 落后的煤渣
41#
發(fā)表于 2025-3-28 15:39:57 | 只看該作者
A New Feature Selection Methodology for Environmental Modelling Support: The Case of Thessaloniki Aifeature selection a necessity towards better modelling results. Many methods have been used in order to reduce the number of features, while safeguarding environmental model performance and resulting to low computational time. In this study, a new feature selection methodology is presented, making u
42#
發(fā)表于 2025-3-28 21:15:57 | 只看該作者
Approaches to Fuse Fixed and Mobile Air Quality Sensorsures include expensive equipment in the fixed monitoring stations which is not suitable for urban areas because of the low spatio-temporal density of measurements. On the other hand, the technological development of small wearable sensor devices has created new opportunities for air pollution monito
43#
發(fā)表于 2025-3-29 00:59:19 | 只看該作者
EO Big Data Connectors and Analytics for Understanding the Effects of Climate Change on Migratory Trogether with the implementation of data connectors, advanced data analytics and Knowledge Base services to a Big Data platform in the EO4Wildlife project (.). These components support on the discovery of marine wildlife migratory behaviours, some of which may be a direct consequence of the changing
44#
發(fā)表于 2025-3-29 04:09:09 | 只看該作者
45#
發(fā)表于 2025-3-29 08:24:52 | 只看該作者
Information System as a Tool for Marine Spatial Planning: The SmartSea Vision and Prototype, and generic decision making. The SmartSea project studies the Gulf of Bothnia, the northernmost arm of the Baltic Sea, as resource for sustainable growth. One objective of the project is to provide an open source and open access toolbox for marine spatial planning. Here we present a vision for the
46#
發(fā)表于 2025-3-29 15:18:22 | 只看該作者
Mobile Crowd Sensing of Water Level to Improve Flood Forecasting in Small Drainage Areasrological input variables for model-based flood predictions. Incorporating additional information collected by volunteers with the help of their smartphones can improve flood forecasting systems. Data collected in this way is often referred to VGI data (. data). This paper discusses how this informa
47#
發(fā)表于 2025-3-29 17:33:39 | 只看該作者
48#
發(fā)表于 2025-3-29 21:12:41 | 只看該作者
Use of the Hydro-Salinity, Crop Production Optimization Model APSIDE to Validate Results from an Updd in the past to predict future agricultural production under future climate change in the San Joaquin River Basin of California (Quinn et al. .). In this study the model was used to query the results from a highly-regarded, published regional surface-groundwater flow model of the Central Valley of
49#
發(fā)表于 2025-3-30 00:21:43 | 只看該作者
Business Intelligence and Geographic Information System for Hydrogeology analyze data and to implement simple models. HgIS is mostly built upon the Pentaho business intelligence (BI) platform. HgIS uses only some components of BI in comparison to enterprise BI solutions. Adequacy and limitation of data warehousing and BI application for groundwater data is discussed. Da
50#
發(fā)表于 2025-3-30 07:42:38 | 只看該作者
A Pilot Interactive Data Viewer for Cancer Screeningvalidated methodology. We aim to provide online access to unique data on cancer care and cancer epidemiology, including an interactive visualisation of various analytical reports in order to provide relevant information to the general public as well as to experts, such as health care managers, envir
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