International Journal of Artificial Intelligence and Knowledge Discovery

The International Journal of Artificial Intelligence & Knowledge Discovery (IJAIKD) is a open access journal that publishes articles which contribute new results. The main aim of IJAIKD is to publish refereed, original research articles, and studies that describe the latest research and developments in the area of Artificial Intelligence.

IJAIJD is a peer-reviewed and Indexed International Journal

Print ISSN: 2231-2021       e-ISSN: 2231-0312

ICV Value: 5.54       2014 RG Impact Factor 0.50


Prospective authors are requested to submit their papers based on the categories listed below

  • Data Mining and Knowledge Discovery
  • Computing Methodologies
  • Artificial Intelligence and Robotics
  • Statistics for Engineering, Physics, Computer Science, Chemistry and Geosciences
  • Information Storage and Retrieval
  • Pattern Recognition
  • Semantic Web Techniques

Vol 7, No 3 (2017)

Table of Contents

Articles

Reliability Analysis of an Augmented Baseline Network Using Markov Model
shalli rani
Review of Modeling the Performance of Heat Pipes using Artificial Neural Network
Neeraj K. Chavda