Welcome to Volume 2, Issue 1 of the Journal of Artificial Intelligence Research (JAIR). In this volume, we present a seminal research paper titled "A Comprehensive Survey of Deep Learning Architectures" by Mohan Raparthi. This comprehensive survey delves into various deep learning architectures, their applications, and advancements, offering valuable insights for researchers and practitioners alike. As we embark on this journey, we invite readers to explore the evolving landscape of artificial intelligence. While this volume showcases one exceptional contribution, we eagerly anticipate further insights and discoveries in future issues. We extend our gratitude to Mohan Raparthi and all contributors for their dedication to advancing AI research. Thank you for joining us as we push the boundaries of AI knowledge and innovation.
Journal Name: Journal of Artificial Intelligence Research (JAIR)
Impact Factor: 4.6 (By ResearchBib)
h-index: 15 (By Google Scholar)
i10-index: 22 (By Google Scholar)
Journal Initials: JAIR
Publication Mode: Digital
Frequency: Semi-Annual (2 Issues a year)
Launch Year: 2021
Review Mode: Double Blind Peer Review
Plagiarism Allowed: 10% (as per Turnitin)
Coverage: Worldwide
Language: English
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The Journal of Artificial Intelligence Research (JAIR) is a peer-reviewed, open-access journal that publishes original research articles, reviews, and short communications in all areas of science and technology. The journal welcomes submissions from all researchers, regardless of their geographic location or institutional affiliation.
Journal of Artificial Intelligence Research (JAIR)
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