Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/29237
Title: | GOOSE : search on internet of connected sensors |
Authors: | Azzopardi, George |
Keywords: | Pattern recognition systems Machine learning Internet searching Detectors |
Issue Date: | 2013-07 |
Publisher: | University of Malta |
Citation: | Azzopardi, G. (2013). GOOSE : search on internet of connected sensors. International Workshop on Brain-Inspired Computing (2013), Cetraro, Italy. |
Abstract: | TNO is a non-profit research organization founded 80 years ago. The areas of expertise within TNO include technical sciences, behavioural and societal sciences, as well as earth, environmental and life sciences with applications in seven themes: a) healthy living, b) industrial innovation, c) defence, safety and security, d) energy, e) transport and mobility, f) built environment, and g) information society. Pattern recognition and machine learning are active fields of research within TNO. One major project is called GOOSE which has the ambition to provide the capability to search semantically for any relevant information within “all” (including imaging) sensor streams, in near real time, in the entire internet of sensors. The concept is similar to the capability provided by currently available search engines which enable the retrieval of information on “all” pages on the internet. |
Description: | A PowerPoint presentation delivered by the author at the International workshop on brain-inspired computing, Cetraro, Italy, 2013 |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/29237 |
Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
File | Description | Size | Format | |
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GOOSE_search_on_internet_of_connected_sensors_2013.pdf | 2.46 MB | Adobe PDF | View/Open |
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