Sensor Systems and Software [electronic resource] : Third International ICST Conference, S-Cube 2012, Lisbon, Portugal, June 4-5, 2012, Revised Selected Papers / edited by Francisco Martins, Luís Lopes, Hervé Paulino.
By: Martins, Francisco [editor.].
Contributor(s): Lopes, Luís [editor.] | Paulino, Hervé [editor.] | SpringerLink (Online service).
Material type:
BookSeries: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering: 102Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Description: X, 163 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642327780.Subject(s): Computer science | Computer Communication Networks | Software engineering | Computer system performance | Data mining | Information Systems | Computer Science | Computer Communication Networks | Special Purpose and Application-Based Systems | Computer Applications | Data Mining and Knowledge Discovery | System Performance and Evaluation | Management of Computing and Information SystemsDDC classification: 004.6 Online resources: Click here to access online
In:
Springer eBooksSummary: This book constitutes the thoroughly refereed post-conference proceedings of the Third International ICST Conference on Sensor Systems and Software, S-Cube 2012, held in Lisbon, Portugal in June 2012. The 12 revised full papers presented were carefully reviewed and selected from over 18 submissions and four invited talks and cover a wide range of topics including middleware, frameworks, learning from sensor data streams, stock management, e-health, and Web Of Things.
No physical items for this record
This book constitutes the thoroughly refereed post-conference proceedings of the Third International ICST Conference on Sensor Systems and Software, S-Cube 2012, held in Lisbon, Portugal in June 2012. The 12 revised full papers presented were carefully reviewed and selected from over 18 submissions and four invited talks and cover a wide range of topics including middleware, frameworks, learning from sensor data streams, stock management, e-health, and Web Of Things.
There are no comments for this item.