[Tccc] Call for Papers: ML4SENSORS 2012 Workshop_Submissions due 23 March 12

Justina justina.senkus
Fri Mar 16 08:07:44 EDT 2012


CALL FOR PAPERS

International Workshop Machine Learning for Sensors and Sensor Networks 
Applications ML4SENSORS 2012
in conjunction with S-CUBE 2012 - International Conference on Sensor 
Systems and Software
Lisbon, Portugal
Workshop date: 4 June, 2012
Workshop website: http://users.med.up.pt/pprodrigues/ml4sensors/
Conference Website: http://s-cubeconference.org/2012/show/home

HIGHLIGHTS
- All accepted papers will be published by Springer and made available 
through SpringerLink Digital Library, one of the world's largest 
scientific libraries
- Proceedings will be submitted for indexing by Google Scholar, ISI, EI 
Compendex, Scopus and many more.
- The event is endorsed by the European Alliance for Innovation 
(http://eai.eu/), a leading community-based organisation devoted to the 
advancement of innovation in the
field of ICT

[Scope]

It has been established empirically that onboard processing of data 
generated from sensor devices is the most economic mode of processing, 
due to limited power of battery operated sensor nodes. Sensors tend to 
drain their energy rapidly on sending and/or receiving data. Therefore, 
there is a necessity in processing sensed data using the limited 
computational power onboard the sensor node.
The main goal of the workshop is to provide a forum for sensor network 
researchers and practitioners to share their recent results on the 
deployment of machine learning techniques in sensor networks, and gather 
researchers working on machine learning algorithms for applied sensor 
network problems.
Numerous important applications require machine learning techniques to 
process data generated from sensor networks. However, the realisation of 
such applications is faced by a number of research challenges. Limited 
computational power of the sensing devices requires machine learning 
techniques to be resource efficient and resources aware. Additionally, 
distributed processing of the data is required, having each node 
performing a local learning from the sensed data. Moreover, data 
duplication is an issue that needs to be addressed in sensor networks, 
especially dense sensor networks. Finally, data quality is of concern 
given that sensor networks may be deployed in an environment of wild 
weather conditions that can affect the performance of the sensing 
devices. These issues and more are required to be addressed.

[Topics]

The topics include but are not restricted to:
- Supervised machine learning from sensor data
- Unsupervised machine learning from sensor data
- Machine learning for sensor network comprehension
- Integration of learning algorithms in sensors
- Deployment of machine learning algorithms in sensor networks
- Reliability issues in sensor network learning applications
- Resource-aware knowledge discovery in sensor networks
- Theoretical models for distributed machine learning in sensor networks
- Real-world problem design and sensor network knowledge discovery 
requirements
- Case-studies of machine learning applications in sensor networks
- Sensor data stream models and stream learning in sensor networks
- Scalable machine learning algorithms


IMPORTANT DATES
Submission deadline: 23 Mar 2012 ** NEAR **
Notification: 20 Apr 2012
Camera-ready deadline: 4 May 2012
Workshop date: 4 Jun 2012

PAPER TYPES

The workshop is open for four types of submissions:
- Regular papers should present established research with enough 
scientific contribution to the field.
- Work in Progress papers are meant for ongoing research that is 
expected to provide further advances in the future.
- Short papers should present current/future perspectives on the field 
of machine learning applications for sensors and sensor networks.
- Demo papers are meant for researchers wanting to present their 
applications on a session specially devoted to demonstrations.

PAPER SUBMISSION

Papers must be formatted using the Springer LNICST Authors' Kit. 
Instructions and templates are available from Springer's LNICST 
homepage. Please make sure that your paper adheres to the format as 
specified in the instructions and templates.
Regular and Work in Progress papers are allowed up to 12 pages including 
all figures, tables and references. Short and Demo papers are restricted 
to 6 pages.
Papers should be submitted through EAI Confy system.
Please visit the workshop web site for more information: 
http://users.med.up.pt/pprodrigues/ml4sensors/

WORKSHOP PROGRAM CHAIRS

Pedro Pereira Rodrigues - University of Porto, Portugal
email: pprodrigues at med.up.pt

Joao Gama - University of Porto, Portugal
email: jgama at fep.up.pt

Mohamed Medhat Gaber - University of Portsmouth, UK
email: mohamed.gaber at port.ac.uk



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