Call For Papers

Prospective authors are invited to submit manuscripts reporting original unpublished research and recent developments in the topics related to the conference.

The Springer template in Microsoft Word (US Letter) Click Here to Download

LaTeX format can be found at : Click Here to Download

Details can also be found in the Call for Papers : Click Here

After Getting the Acceptance Mail of the Paper, Author needs to submit the following agreement to the conference E-mail([email protected]), otherwise the accepted paper will not be published in the conference proceedings. The agreements are given below:-

GCAIA 2020 Paper Categories

  • Regular Paper – 10 pages maximum (3 additional pages allowed but at an extra charge)
  • Short Paper (Work-in-Progress) – 8 pages maximum (2 additional pages allowed but at an extra charge)

Regular papers should present novel perspectives within the general scope of the conference. Short papers (Work-in-Progress) are an opportunity to present preliminary or interim results. Posters are intended for ongoing research projects, concrete realizations, or industrial applications/projects presentations.

The Extended version of the few selected paper will be reviewed for potential acceptance and publication in the special issue of the following Journals:-

Sl No Journal Name Publication House ISSN No. Indexing
1 Journal of Intelligent Manufacturing Springer 1572-8145 SCIE-

Impact Factor3.535

2 International Journal of Intelligent Robotics and Applications Springer 2366-598X Scopus, Emerging Source Citation Index (eSCI)
3 International Journal of Engineering

Transactions B: Applications

Materials and Energy Research Center 1728-144X Scopus, Emerging Source Citation Index (eSCI)
4 International Journal of Artificial Intelligence and Soft Computing Inderscience 1755-4969 IET, ACM, UGC and others
5 International Journal of Internet of Things and Cyber-Assurance Inderscience 2059-7975 Google Scholar and others
6 International Journal of Hybrid Intelligence Inderscience 2515-4281 Google Scholar and others
7 IAES International Journal of Robotics and Automation (IJRA) IAES 2089-4856 Google Scholar and others

Guidelines for the preparation of extended version which are needed to be followed strictly by the author of accepted paper in GCAIA 2020.

  1. Change the title of the GCAIA 2020 Conference paper.
  2. Change the abstract of the Conference paper (at least 40% additional work will be reflected)
  3. Extend the proposed work or methodology with comparison to the improvement of GCAIA 2020 conference paper.
  4. Results of enhanced methodology (at least 40% additional results should be added up with the paper submitted in GCAIA 2020).
  5. Comparison with existing reported literature in GCAIA 2020 and at least one or two improvement has to be reported.
  6. Future scope for additional work needs to be proposed
  7. State of the art reference (upto March 2019) needs to be provided and authors may modify the existing reference.
  8. Plagiarism/ similarities should not exceed 20% and should not be more than 5% from a single source.

Topics and technical areas of interest include but are not limited to the following:

Artificial Intelligence Machine Vision Robotics Ambient Intelligence
Learning Techniques Human Computer Interaction Humanoid Robots Smart Cities
Neural Networks Pattern Recognition Space and underwater robots Internet of Things
Soft Computing Image/Video Processing Assistive Robots Ambient Assisted Living


Expert Systems Intrusion Detection Mobile Robots Smart Healthcare
Computational Intelligence Brain-Machine Interface Autonomous Robots


Intelligent Transportation
Natural Language Processing Geographic Information Systems Human-Robot Interaction Data Science
Data Mining Signal Processing Telerobotics Particle Swarm Optimization
Neuromorphic systems Medical Diagnosis Walking and Climbing Robots Neural Network Theory & Architecture
Biometrics Segmentation Techniques Robotic Automation Collective Intelligence
Sentiment Analysis Augmented/Virtual Reality Robot Localization and Map Building Rough Set and Rough Data Analysis
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