COIOTE 2016 - 3rd EAI International Conference on Software Defined Wireless Networks and Cognitive Technologies for IoT

The Third EAI International Conference on Cognitive Internet of Things Technologies October 26th and 27th, 2016, Covilhã, Portugal
Recent studies and reports have evinced that the Internet of Things will have a huge impact on our society. Conservative estimates predict there will be 50 billion of connected devices by 2020. Besides connecting real-time such numbers of objects, managing them and the data they generate will also pose challenges whether each of these produce no more than few bytes per minute in a very remote location or heavy data-streams within the heart of "resource rich" smart cities. Simply looking at the sheer size of these numbers, it is clear that competing for end-user attention will be the main hurdle to overcome.
Highlights
The event is endorsed by the European Alliance for Innovation, a leading community-based organisation devoted to the advancement of innovation in the field of ICT.
All accepted papers will be submitted for publication in Springer and made available through SpringerLink Digital Library, one of the world's largest scientific libraries.
Proceedings are submitted for inclusion to the leading indexing services: Elsevier (EI), Thomson Scientific (ISI), Scopus, Crossref, Google Scholar, DBLP.
The conference will include a number of supporting workshops (a call for workshops will be made).
The authors of the best papers will be invited to submit an extended version of their work through one of the following EAI endorsed publications:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
Topics
The list of covered topics is, without being limited to, as follows:
Model-Driven Software Engineering (MDSE) for cognitive IoT applications
Nanotechnology and biotechnology for the IoT (e.g., Bio/nano sensors)
Multi-Agent Systems (MAS)
Knowledge representation in IoT
Decision making strategies in IoT, data fusion
Learning under IoT constraints
Pattern recognition in IoT
Biometrics for the IoT
Individual and social behavior analysis through IoT sensing mechanisms
Context aware data management
Environmental monitoring, network surveillance
Transfer learning, information-theoretic learning
Bio-inspired intelligence, neural networks for IoT
Deep learning for IoT