Call for Paper Submission 

Journal of Intelligent Systems and Applied Data Science (JISADS)

As intelligent systems and data science continue to advance rapidly, JISADS provides a platform for researchers, academicians, and industry professionals to share their innovative findings, novel methodologies, and practical applications. We invite original contributions from diverse disciplines including, but not limited to:

  • Artificial Intelligence
  • Machine Learning
  • Data Mining
  • Natural Language Processing
  • Computer Vision
  • Big Data Analytics
  • Predictive Modeling
  • Pattern Recognition
  • Intelligent Decision Support Systems
  • Robotics and Automation
  • Internet of Things (IoT)
  • Blockchain technology
  • Network and communication
  • Network security 
  • Ad Hoc Networks
  • Microcontrollers and Embedded Systems
  • Computer vision and image processing

Authors are encouraged to submit their manuscripts for consideration in the first issue of JISADS. Submitted papers should present substantial theoretical or experimental contributions and demonstrate relevance and significance to the field. All submissions will undergo a rigorous peer-review process conducted by experts in the respective areas.

Authors should adhere to the submission guidelines provided on our website, which include formatting instructions and manuscript preparation details. Submissions should be made electronically through the JISADS online submission system, accessible on our website.

JISADS welcomes insightful review articles and short communications addressing emerging trends and challenges in intelligent systems and applied data science. Additionally, we encourage proposals for special issues focusing on specific topics of interest within the journal's scope.

We invite researchers and practitioners to contribute to this exciting new platform and help shape the future of intelligent systems and applied data science. We look forward to receiving your valuable contributions and sharing them with the scientific community.