Intelligent Computing Systems Emerging Application Areas /

This book at hand explores emerging scientific and technological areas in which Intelligent Computing Systems provide efficient solutions and, thus, may play a role in the years to come. It demonstrates how Intelligent Computing Systems make use of computational methodologies that mimic nature-inspi...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Tsihrintzis, George A. (Editor), Virvou, Maria (Editor), Jain, Lakhmi C. (Editor)
Format: e-Book
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Series:Studies in Computational Intelligence, 627
Subjects:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Access:Full-text access
Table of Contents:
  • Editorial
  • Semantic tools; Their <use for Knowledge Management in the Public Sector
  • Semantic Tools; Their Use for Knowledge Management in the Public Sector
  • A Semantic Approach for Representing and Querying Business Processes
  • Using Conversational Knowledge Management as a Lens for Virtual Collaboration in the Course of Small Group Activities
  • Spatial Environments for m-learning: Review and Potentials
  • Science Teachers' Metaphors of Digital Technologies and Social Media in Pedagogy in Finland and in Greece
  • Data Driven Monitoring of Energy Systems: Gaussian Process Kernel Machines for Fault Identification with Application to Boiling Water Reactors
  • A Framework to Assess the Behavior and Performance of a City Towards Energy Optimization
  • An Energy Management Platform for Smart Microgrids
  • Transit Journaling and Traffic Sensitive Routing for a Mixed Mode Public Transportation System
  • Adaptation of Automatic Information Extraction Method for Environmental Heatmaps to U-matrices of Self Organising Maps
  • Evolutionary Computing and Genetic Algorithms: Paradigm Applications in 3D Printing Process Optimization
  • Sotirios Spanogianopoulos and Konstantinos Sirlantzis
  • Computing a Similarity Coefficient for Mining Massive Data Sets
  • A Probe Guided Crossover Operator for More Efficient Exploration of the Search Space.

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