£108.00

Springer Information Fusion and Intelligent GIS (IF&IGIS'17)

Name: Springer Information Fusion and Intelligent GIS (IF&IGIS'17)
Brand: Springer
Price: 108.0 GBP
Availability: InStock

AI & Machine Learning

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Description

This academic volume contains the proceedings from the 8th international Symposium on Information Fusion and Intelligent Geographic Information Systems (IF&IGIS'2017). Held at Shanghai Maritime University, the symposium gathered global experts to address the rapid evolution of geospatial information theory and models. The text explores new frontiers in spatial information integration and intelligent GIS (IGIS). It provides a platform where researchers exchange cutting-edge ideas and experiences regarding the development of advanced methods in the field. This collection is essential for professionals and students looking to understand the latest research in information fusion and its applications in intelligent geographic systems. As part of the Notes in Geoinformation and Cartography series, this book offers a deep look into the methods and models shaping the future of geospatial technology. It serves as a comprehensive resource for anyone studying the intersection of AI, machine learning, and geographic information systems.

Key Features

Includes full proceedings from the 8th international IF&IGIS symposium held in Shanghai, China.

Provides access to research from leading global experts in spatial information integration.

Covers current developments in intelligent GIS (IGIS) and geospatial information theory.

Explores new methods and models for the fast-paced field of geographic information systems.

Part of the professional Notes in Geoinformation and Cartography series by Springer.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 331986646X
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 04 August 2018
Listed Since: 08 August 2018

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Springer Information Fusion and Intelligent GIS (IF&IGIS'17)

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