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. Through its technical program, the conference aims to provide an outstanding opportunity for both academic and industrial communities alike to address new trends and challenges, emerging technologies and progress in standards on topics relevant to today’s fast moving areas of Internet of Things and Machine Learning. This workshop will discuss new results in the field of Internet of things and machine learning.

IML 2017 will offer oral, poster sessions, tutorials and, professional meetings. The program of the IML 2017 Conference intends to foster interaction so as to open the way to future cooperation between participants. All researchers and teams who develop research or recently became interested in the domains of Internet of things and machine learning are invited. Submitted papers are expected to cover state-of-the-art technologies, theoretical concepts, standards, products implementation, ongoing research projects and innovative applications of the Internet of things and machine learning technologies use.

All accepted papers (regular, short, and poster) will be published by ACM – International Conference Proceedings Series (ICPS) and will be available in ACM Digital Library . ISBN: 978-1-4503-5243-7

Authors are invited to submit papers presenting original research in all areas of Internet of things and machine learning. Original unpublished manuscripts, and not currently under review in another journal or conference, are solicited in relevant areas including, but not limited to:

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
    Connectivity
    Smart Farming
    Smart Grids

Machine Learning:

    Statistical Methods
    Data Engineering (capture, storage, search, sharing, modeling)
    Advanced Data Computing
    Visualization
    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