International Journal of Computer Vision and Computer Science (IJCVCS)
ISSN: 2584-082X (Online)

The International Journal of Computer Vision and Computer Science (IJCVCS) is a peer-reviewed, open-access journal dedicated to publishing high-quality research and innovative contributions in the fields of computer vision and computer science. IJCVCS serves as a platform for researchers, academicians, and professionals to disseminate their findings and explore the latest advancements in these rapidly evolving domains.

Focus and Scope:

IJCVCS covers a wide range of topics, including but not limited to:

  • Computer Vision: Image processing, object detection and recognition, 3D reconstruction, scene understanding, and visual tracking.
  • Artificial Intelligence and Machine Learning: Deep learning models, neural networks, and AI-driven applications in computer vision.
  • Robotics and Automation: Vision-based robotics, autonomous systems, and human-computer interaction.
  • Computer Science: Algorithms, data structures, software engineering, and theoretical computer science.
  • Interdisciplinary Research: Applications of computer vision and computer science in healthcare, security, autonomous vehicles, and more.

Key Features:

  • Peer-Reviewed: Ensures rigorous evaluation and high academic standards.
  • Open Access: Promotes global accessibility and knowledge sharing.
  • Fast Publication: Timely dissemination of research findings.
  • Global Reach: Contributions from researchers and professionals worldwide.

Audience:

IJCVCS caters to a diverse audience, including researchers, practitioners, educators, and students in the fields of computer vision, computer science, artificial intelligence, and related disciplines.

Submission Guidelines:

Authors are invited to submit original research papers, review articles, and case studies through the journal's online submission system. Submissions must adhere to the journal's formatting and ethical guidelines.

Editorial Board:

The journal is supported by an esteemed editorial board comprising experts from academia and industry who ensure the quality and relevance of published content.

For more information, visit the journal's official website or contact the editorial office.

Vol. 7 No. 7 (2025): IJCVCS

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