Calls for Papers (special): International Journal of Grid and High Performance Computing (IJGHPC)


Special Issue On: Machine Learning for Internet of Things and Big Data

Submission Due Date
11/1/2017

Guest Editors
Chintan Bhatt
Dmitry Korzun
Soumya Banerjee

Introduction
By 2025, the overall size of digital knowledge generated by social networks, sensors, medical imaging and simulation devices, can reach up to Zettabytes. We are now in era of “big data”. This kind of “big” knowledge, along with the advances in information and communication technologies like Web of Things (IoT), connected sensible objects, wearable technology, pervasive computing, is remodeling each facet of contemporary life and conveyance nice challenges and spectacular opportunities to meet our dream of a property sensible society.

Objective
This issue aims to supply a platform and forum to debate and report current progressive, new solutions, future directions to handle challenges, problems and success stories on a way to harness potential advances within the digital space to boost people’s life (e.g. big data, IoT, mobile/ present computing), and the way to maximize the employment of huge processing and knowledge analytics to understand the sensible society.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
  • Machine Learning Techniques and algorithms for Big Data and IoT
  • Data mining, statistical modeling and machine learning for data management
  • Analytics and machine learning applications to security and privacy
  • Machine Learning as-a-service
  • Machine learning and prediction of context awareness with Big Data and IoT
  • Big Data applications such as analytics for the Internet-of-Things (IoT), online web analytics, smart grid analytics etc.
  • Deep Learning in Big Data and IoT
  • Edge/Fog Analytics
  • Advanced collaboration techniques and scaling issues
  • Emerging standards for organizations and international projects


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Machine Learning for Internet of Things and Big Data on or before November 1, 2017. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-submission.aspx. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Chintan Bhatt
Dmitry Korzun
Soumya Banerjee
Guest Editor
International Journal of Grid and High Performance Computing (IJGHPC)
E-mail: chintanbhatt.ce@charusat.ac.in; dkorzun@cs.karelia.ru; dr.soumya@ieee.org

PLEASE NOTE: All submissions should be created using the link below ↴

Special Issue On: Big Data Analytics and Internet of Everything-Fusion for Various Administrations

Submission Due Date
12/31/2017

Guest Editors
Dr. Hemraj Saini, Jaypee University of Information Technology, India
Dr. Alexander Horst Norta, Tallinn University of Technology, Estonia
Dr. Mayank Singh, University of Kwazulu-Natal, Durban, South Africa

Introduction
IoE is the intelligent connection of people, process, data and things. The Internet of Everything (IoE) describes a world where billions of objects have sensors to detect measure and assess their status; all connected over public or private networks using standard and proprietary protocols. The Internet of Everything (IoE) with four pillars- people, process, data, and things builds on top of The Internet of Things (IoT) with one pillar- things. In addition, IoE further advances the power of the Internet to improve business and industry outcomes, and ultimately make people’s lives better by adding to the progress of IoT. The Internet of Everything will create tens of millions of new objects and sensors, all generating real-time data. “Data is money,” said Nick Jones, research vice president and distinguished analyst at Gartner. “Businesses will need big data and storage technologies to collect, analyze and store the sheer volume of information. Furthermore, to turn data into money business and IT leaders will need decisions. As they won’t have the time or the capacity to make all the decisions themselves they will need processing power.”

Objective
The aim of this special issue is to collect quality of research contributions and innovative work in the area of Big Data Analytics associated with IoE and their related applications for the benefit of research communities and society.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
  • Fusion of Big Data and IoE for health informatics and medical services
  • Fusion of Big Data and IoE for business intelligence and finance
  • Fusion of Big Data and IoE for modern education
  • Fusion of Big Data and IoE for energy applications and services
  • Fusion of Big Data and IoE for natural science, weather forecasting and earth science
  • Fusion of Big Data and IoE for smart cities
  • Fusion of Big Data and IoE for security, privacy and trust
  • Fusion of Big Data and IoE for 5G networks and communications
  • Fusion of Big Data and IoE for mobile services and computing
  • Fusion of Big Data and IoE for the next generation architecture
  • Fusion of Big Data and IoE for any forms of predictive modeling and analytics
  • Fusion of Big Data and IoE for real world examples and case studies


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Big Data Analytics and Internet of Everything-Fusion for Various Administrations on or before December 31, 2017. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-submission.aspx. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Dr. Hemraj Saini
Guest Editor
International Journal of Grid and High Performance Computing (IJGHPC)
E-mail: hemraj1977@yahoo.co.in

PLEASE NOTE: All submissions should be created using the link below ↴