International Journal of Machine Learning and Image Processing

Editor in Chief

Ashok Vajravelu

ISSN online

2583-908X

3 issues per year

Aims & Scope

International Journal of Machine Learning and Image Processing (IJMLIP) is a peer-reviewed scientific publication that publishes original research on the theoretical underpinnings and practical applications of AI for decision-making. AI, fuzzy techniques, genetic algorithms, intelligent agents, multi-agent systems, cognitive science, mathematical modeling, neural systems/neural networks, computer-supported cooperative work, geographic information systems, user interface management systems, informatics, knowledge representation, applications of machine learning algorithms in medical imaging, and many other related topics are all published in this journal.

IJMLIP is an interdisciplinary area that connects the dots between the fields of computer science and information systems with the creation of artificial intelligence and decision support systems, and between engineering and the engineering of systems. The goal of IJMLIP is to draw in studies  that investigate the evolution of technology from an applied perspective. Intelligent Systems and Intelligent Technologies for Enhancing or Improving Decision-Making in Industry, Government, and Academia is a forum for the dissemination of research in this area. The articles in IJMLIP include research on all levels, from basic research to practical implementations, of intelligent decision technology. Management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, human interfaces, and other applied fields that could benefit from intelligent decision support are the focus of this journal.

IJMLIP developers and users from the fields of computer science, health science, medical imaging, engineering, and information systems are the intended readers. Original, unpublished, and not currently submitted or accepted for publication material is encouraged.

Frequency of publication: 3 Issues in a year

Language: English

Starting year: 2023

Subject: Engineering

Format of publication – Online and Print ,

 Publisher details : Science Academy Press,
                                  Photon Technologies,
                                  No.58, South Usman Road, 
                                  T.Nagar, Chennai, 
                                   India – 600 017. 

Editorial Board

Editor-in-Chief

Dr Ashok Vajravelu
Senior Lecturer
Faculty of Electrical and Electronic Engineering
Universiti Tun Hussein Onn Malaysia (UTHM)
Malaysia

Contact Us

Science Academy Press,
Photon Technologies,
3rd Floor, No. 58, South Usman Road,
T.Nagar, 
Chennai-600 017.
www.photontech.net