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.IML 2017 : .International Conference on Internet of Things and Machine Learning


When Oct 17, 2017 - Oct 18, 2017
Where Liverpool, United Kingdom
Submission Deadline Jun 15, 2017
Notification Due Jun 25, 2017
Categories    internet of things   machine learning   netwrok   security

Call For Papers

Call for: Abstract, Full Paper, Poster Paper or Short paper.

International Conference on Internet of Things and Machine Learning (IML 2017)
Venue: Liverpool John Moores University, United Kingdom
Proceedings: ACM Digital Library/ ISBN: 978-1-4503-5243-7

Dear Author,

The International Conference on Internet of Things and Machine Learning (IML 2017) will be held from October 17 - 18, 2017 in Liverpool John Moores University, Liverpool city, United Kingdom.

We invite you to submit your paper (Abstract, Full Paper, Poster Paper or Short paper) to IML conference.

Aim and Scope of the conference:

Important Dates: June, 15 2017.

Submission web-page:

All accepted and registered papers ((Abstract, Full Paper, Poster Paper or Short paper)) for IML 2017 conference will be published by ACM Digital Library. Under the ISBN: 978-1-4503-5243-7. ACM send all published materials to DBLP, Scopus and Thomson Reuters for indexing in their products.

Extended version of best papers:
Journal: European Journal of Operational Research Editorial Board (Indexed by Thomson Reuters)
Journal: Decision Sciences (Indexed by Thomson Reuters)

Keynote Speaker: Yacine Atif, University of Skövde, Sweden


Internet of Things:

Wireless communications
Understanding Networks and Networking protocols
Sensors and hardware programming
Smart Cities (Smart parking, Smartphone detection, Traffic congestion, Smart lighting, etc.).
Smart Water (Potable water monitoring, Chemical leakage detection in rivers, River floods, etc.).
Security & Emergencies
Retail (Supply chain control, Intelligent shopping applications, Smart product management, etc.).
Logistics (Quality of shipment conditions, Item location, etc.).
Industrial Control (M2M Applications, Indoor air quality, Temperature monitoring, etc.).
Smart Agriculture (Green houses)
Digital Health-care / Telehealth / Telemedicine
Information security
Cloud computing
IP multimedia subsystems
Smart Farming
Smart Grids

Machine Learning:

Statistical Methods
Data Engineering (capture, storage, search, sharing, modeling)
Advanced Data Computing
Pattern Recognition
Data Interpretation and Analysis
Data Mining
Data Analytics
Big Data Challenges
Multimedia Learning
Multi-Graph Learning
Deep Learning
Neural Networks
Support Vector Machines
Evolutionary computations
Fuzzy approaches
Genetic Algorithms
Features Selection
Artificial Intelligence
Signal and Image Processing
Applications of Machine Learning

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