Special issue


International Journal of Reasoning-based Intelligent Systems

(Indexed in EI)


Special Issue Title:IoT,Big Data& Machine Learning


Guest Editor(s) details

Title:
Name:  
Institution:
Prof.

Srikanta Patnaik 

SOA University
Prof.
Xilong Qu
Hunan University of Finance and Economics
Engineer/Manager 
Bin Hu
China Mobile Communications Corporation

Description

The continuous attempt to survive in today¨s competitive era has led to the rise of innovative solutions in the form of technologies and services. In other words we can say innovative solutions in the form of smart products and services are driving the global competitive markets which lead to the new paradigm as fourth industrial revolution or Smart Industries, with the help of three driving forces such as IOT, Big Data and Machine Leaning.

The Internet of Things (IoT) is the network of physical devices, vehicles, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to collect and exchange data. IoT along with Big Data and Machine learning technology helps in harnessing the sensor data, Machine-to-Machine (M2M) communication and automation. The driving philosophy behind the IoT is that smart machines are better than humans at accurately, consistently capturing and communicating data. This data can enable companies to pick up on inefficiencies and problems sooner, saving time and money and supporting business intelligence efforts. IoT holds great potential for quality control, sustainable and green practices, supply chain traceability and overall supply chain efficiency.

IoT & Big Data fuels the realization of smart industries with the help of Machine Learning techniques. But Big Data poses several crucial challenges due to its inherent complexities, which opens up potential research opportunities. This special issue invites contributions from potential researchers who are engaged with research in the area of IOT, Big data and Machine Learning techniques.  

 

Subject Coverage

Topics include, but are not limited to, the following:

, Data Science

 Big Data Analytics

, Big Data Visualization

 Internet Architecture

 Internet of Things (IoT)

 Cognitive Computing

 Perceptual Computing

 Semantic Computing

 Cyber Security

, Business Algorithms

 Deep Learning

 Digital Supply Network

 Digital Assert Management

 Sensor Data

 Physical, Cyber and Social Data

 Machine Learning

 Human Machine Interaction

 Machine-to-Machine Interaction

 

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper). 

All papers are refereed through a peer review process.

 

Important dates

Manuscripts due by:    31st January2018

Notification to authors:  31st March 2018

Final versions due by:   15th April 2018


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