Automating The Analysis Of Spatial Grids
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Automating the Analysis of Spatial Grids
Author: Valliappa Lakshmanan
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-06-14
The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery.
Artificial Intelligence Methods in the Environmental Sciences
Author: Sue Ellen Haupt
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-11-28
How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.
2014 International Conference on Mechanical Design, Manufacture and Automation Engineering (MDMAE2014)
Author: D. P. Yasin
language: en
Publisher: DEStech Publications, Inc
Release Date: 2014-02-04
Automation Engineering (MDMAE2014) is to provide a platform for all researchers in the field of Mechanical, Manufacture, Automation and Material Engineering to share the most advanced knowledge from both academic and industrial world, and to communicate with each other about their experiences and the most up-to-date research achievements, discussing forward issues and future prospects, seeking a better way to solve practical problems in this fields. As the first international conference on MDMAE, consisting of five main topics: Mechanical Engineering, Automation Engineering, Manufacturing Systems, Materials Engineering and Measurement and Test, which offer attendees free space to present their inspiring works and academic achievements mixed with the atmosphere of industry and academia, it has attracted many scholars, researchers and practitioners in these fields from various countries to get together in this conference, sharing their latest research achievements with each other , enriching their professional knowledge and broadening their horizons as well.