1. Multidisciplinary Scope: The journal covers a wide spectrum of topics within artificial intelligence and data science, including machine learning, deep learning, natural language processing, computer vision, data analytics, and more. This multidisciplinary approach encourages cross-pollination of ideas and insights.
2. Original Research and Reviews: The journal publishes original research articles presenting novel algorithms, methodologies, and experimental results. It also features review articles that synthesize and critically analyze state-of-the-art techniques, providing readers with comprehensive insights into emerging trends.
3. Structured Sections: The journal is organized into distinct sections, such as Research Articles, Review Papers, Case Studies, and Technical Notes. Each section caters to different types of content, promoting diverse contributions and fostering engagement from researchers at all levels.
4. Double-Blind Peer Review: The journal employs a rigorous double-blind peer-review process to ensure the quality and validity of published content. This impartial evaluation by experts in the field helps maintain the journal's academic integrity and credibility.
5. Open Access and Digital Presence: The journal embraces an open-access model, making all published articles accessible to the global research community. It maintains a strong digital presence with an intuitive website, enabling easy submission, peer review, and dissemination of articles. Additionally, the journal might promote actively through social media and academic networks.
Submission to Final Decision- 50 Days
Acceptance to Publication- 10 Days