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Submit a Manuscript to the Journal
IETE Journal of Research

For a Special Issue on
AI Enabled Big Data Analytics for Industrial Applications

Manuscript deadline
31 December 2021

Cover image - IETE Journal of Research

Special Issue Editor(s)

Dr. Linesh Raja, Assistant Professor, Department of Computer Application, Manipal University Jaipur, Rajasthan, India
[email protected]

Prof. Dr. Vijayakumar Varadarajan, Professor, EAI Fellow, The University of New South Wales, Sydney, Australia
[email protected]

Prof. V.D. Ambeth Kumar, Professor, Panimalar Engineering College, Anna University, India
[email protected]

Dr. Abhishek Kumar, Assistant Professor, JAIN (Deemed to be University), Bangalore, India
[email protected]

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AI Enabled Big Data Analytics for Industrial Applications

The quantity of data created and stored in different sectors such as education, energy, environment, healthcare, fraud, detection, and traffic are continually increasing exponentially in the current era of Big Data. Simultaneously, there is a significant paradigm change in business and society throughout the world as a result of rapid advancements in disciplines such as artificial intelligence, machine learning, deep learning, and data analytics. This provides significant problems for decision-making and the possibility for transformation in sectors such as the economy, government, and industry. Artificial Intelligence tools, techniques, and technologies, in conjunction with Big Data, improve the predictive power of the systems created, allowing the government, public, and private sectors to discover new patterns and trends that improve public values such as accountability, safety, security, and transparency for better decision-making, policies, and governance. They also have a wide range of capabilities for doing complicated jobs that humans are unable of performing. They could be used to collect, organize, and analyze large amounts of data in order to discover patterns and trends that address a variety of issues related to economic development, such as identifying new sources of revenue, expanding the customer base for business, product reviews, and promotion, disease prediction and prevention, predicting climatic variations, and providing energy solutions.

The objective of this special issue is to call for high-quality papers covering the latest data analytic concepts and technologies of big data and artificial intelligence. This special issue serves as a forum for researchers across the globe to discuss their works and recent advances in this field. The best papers from Artificial intelligence and Big Data Analytics (BAM) in the domains of Product, Finance, Health, and Environment are invited, peer-reviewed. The best high-quality papers will be selected based on the innovativeness and relevance of the theme.

Potential topics include but are not limited to the following:

  • Big Data Analytics for Health Care
  • Sentimental Analysis
  • Reinforcement Learning
  • Big Data Analytics for IoT
  • Mathematical and Statistical Foundations of Big Data Analytics
  • Innovations in Artificial Intelligence and their Applications for Information Filtering
  • Advances in Artificial Learning and their Applications for Information Security
  • Big Data Analytics for Prediction and Applications in Environmental Applications
  • Big Data Analytics for Prediction and Application in Medicine and for Health-Related Applications
  • Big Data Analytics for Prediction and Applications in E-Commerce and E-Governance
  • Expert Systems
  • Convolution Neural Networks for Detection and Prediction of Disease
  • Deep Learning on Academic Data and Prediction
  • Recurrent Neural Networks

Submission Instructions

  • All manuscripts should follow the author instructions of IETE Journal of Research at www.tandfonline.com/tijr and be submitted online at ScholarOneManuscriptsTM submission site: https://mc.manuscriptcentral.com/tijr.
  • During the submission, please indicate that your manuscript is for the special Open Access issue entitled, AI-Enabled Big Data Analytics for Industrial Applications. You will be asked for this information in step one of the submission form.
  • Selected conference papers must undergo substantial extensions of at least 40% new content with respect to the original versions before submission. Please make sure to disclose and reference your earlier version.
  • As this special issue is to be published Open Access, there will be an Article Publishing Charge (APC) for each accepted special issue article. The APC will be $1,500 US dollars.

Instructions for AuthorsSubmit an Article