European Journal of Emerging Computer Vision and Natural Language Processing (EJECVNLP) is an international, peer-reviewed, open access journal dedicated to publishing high-quality research in emerging areas of computer vision, natural language processing, and intelligent perception systems. The journal provides a platform for researchers, academicians, and industry professionals to share cutting-edge advancements in deep learning, multimodal AI, image and video analysis, speech and text processing, and real-world AI applications. EJECVNLP follows a rigorous double-blind peer review process and is supported by an international editorial board comprising experts from diverse academic, industrial, and research backgrounds. The journal strictly adheres to the Committee on Publication Ethics (COPE) guidelines, ensuring transparency, integrity, and ethical publishing practices. All published articles are released under a Creative Commons license, allowing unrestricted access, distribution, and reuse with proper citation, thereby enhancing the visibility and global impact of authors’ research.
Call for Papers: European Journal of Emerging Computer Vision and Natural Language Processing invites original research articles, review papers, technical reports, and interdisciplinary AI studies for its
Current Publication: Volume 03, Issue 01 (2026)
Frequency: Half-Yearly | Journal Type: Peer Reviewed | Open Access | International Journal
Open Access
Articles
Dr. Nareen X. Veltrix, Dr. Tamos I. Drevik (Author) 1
Pages: 1-8 || Published: 2026-01-06
Imagine a robot that doesn't just see the world, but can tell you about it. A machine that can follow your spoken instructions not just by rote, but with a genuine understanding of the objects and actions involved. This is the future being built at the intersection of two of artificial intelligence's most powerful fields: Computer Vision (CV)... More >
Open Access
Articles
Dr. Brooke A. Morgan, Dr. Xavier D. Long (Author) 1
Pages: 09-22 || Published: 2026-01-13
Vehicle safety is profoundly impacted by the condition of its braking system, with worn brake pads being a significant contributor to road accidents. Traditional brake monitoring methods often fall short, providing alerts only at advanced stages of wear, thereby increasing accident risk and maintenance inefficiencies. This article proposes an... More >
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