About the Journal

International Numeric Journal of Machine Learning and Robots (INJMR)

Introduction: The International Numeric Journal of Machine Learning and Robots (INJMR) is a prestigious scientific publication dedicated to advancing the fields of machine learning and robotics. INJMR serves as a platform for researchers, scientists, and experts from around the world to disseminate their cutting-edge research, share innovative ideas, and foster collaboration in these rapidly evolving domains in the Form of Case studies, Research papers, White paper, etc..

Key Focus Areas: INJMR covers a wide spectrum of topics within machine learning and robotics, with a strong emphasis on numerical methods and their practical applications. Some of the key focus areas include:

1. Machine Learning Algorithms:

   • Deep Learning
   • Reinforcement Learning
   • Supervised and Unsupervised Learning
   • Ensemble Methods
   • Transfer Learning
   • Neural Networks

2. Robotics and Automation:

   • Robot Design and Control
   • Human-Robot Interaction
   • Autonomous Systems
   • Swarm Robotics
   • Robot Perception and Sensing
   • Ethical and Societal Aspects of Robotics

3. Applications:

   • Healthcare Robotics
   • Autonomous Vehicles
   • Industrial Automation
   • Natural Language Processing
   • Computer Vision
   • Financial Forecasting

Publication Format: INJMR publishes research articles, review papers, and technical notes in a peer-reviewed format. The journal is committed to maintaining high standards of quality and rigor in the articles it publishes. Researchers can expect a comprehensive and constructive review process that ensures the integrity and validity of the research presented.

Audience: The primary audience for INJMR includes academics, researchers, engineers, and professionals interested in the latest developments in machine learning and robotics. It serves as a valuable resource for those seeking to stay updated on emerging trends, methodologies, and practical applications in these fields.

Impact and Importance: INJMR plays a crucial role in advancing the fields of machine learning and robotics by providing a platform for the dissemination of novel research findings. It contributes to the global scientific community by fostering collaboration and knowledge exchange among experts in these domains. The journal's commitment to numerical methods sets it apart and underscores its dedication to rigorous scientific research.

The International Numeric Journal of Machine Learning and Robots (INJMR) is an essential publication for anyone engaged in the fields of machine learning and robotics. Its dedication to numerical methods, rigorous peer-review process, and wide-ranging scope make it a valuable resource for researchers and professionals striving to push the boundaries of knowledge and innovation in these exciting and rapidly evolving domains.

• Emerging Sources Citation Index (in the process)
• Scopus
• Indian Citation Index
• ROAD: the Directory of Open Access scholarly Resources
• Research Gate
• Google Scholar
• Academia Database
• DPI Digital Library

Note: If your article is selected, there is an open access fee of $1500 USD, which may be waived based on the paper's quality.