The motivation of this special issue is to solicit innovate research work in the domain of IoT Analytics for data streams using machine learning, deep learning and artificial intelligence. This issue will focus on the key aspects in the future applications of IoT Analytics which include IoT-Clouds, IoT based decision making technologies, IoT context-aware systems and integration of the IoT concepts into the different vertical application domains. This special issue will provide the opportunity for research communities across the world to share their ideas on these newly developing fields of IoT Analytics.
Topics
Data Driven Decision Making Systems in IoT Applications
Deep Learning Models for Time Series Data and IoT
Multi-Task IoT System Modelling and Analysis
Hybrid Intelligent Models for IoT Context-Aware Systems
Multimodal Data Analysis and Information Fusion in IoT
Prediction of Situational Awareness with IoT Data
Streaming data learning algorithms for IoT
Swarm Intelligence and Big data for IoT
Cloud-Assisted Data Fusion and Sensor Selection for Internet of Things
Secure and Privacy Preserving Steam Analytics
IoT Analytics for Improving the Dependability of IoT Systems
Important dates
Manuscript submission due: 1st October 2018
1st Review Notification to authors due: 1st November 2018
Revised Manuscript due: 1st December 2018
2nd Review Notification to authors due: 1st January 2019
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