About the Journal

The Los Angeles Journal of Intelligent Systems and Pattern Recognition (LAJISPR) is a peer-reviewed, open-access journal dedicated to advancing research and innovation in the fields of intelligent systems, machine learning, artificial intelligence, and pattern recognition. Published quarterly, LAJISPR serves as a platform for researchers, academics, and industry professionals to share cutting-edge discoveries, methodologies, and applications that drive the evolution of intelligent technologies.

The journal covers a broad spectrum of topics, including but not limited to:

  • Machine learning algorithms and models

  • Deep learning and neural networks

  • Computer vision and image processing

  • Natural language processing and understanding

  • Robotics and autonomous systems

  • Data mining and knowledge discovery

  • Biometric systems and security applications

  • Cognitive computing and human-machine interaction

LAJISPR emphasizes interdisciplinary research, fostering collaboration between computer science, engineering, mathematics, and other related disciplines. By promoting high-quality, original research, the journal aims to contribute to the development of intelligent systems that address real-world challenges and improve societal well-being.

We invite submissions from researchers worldwide, encouraging both theoretical advancements and practical applications. Join us in shaping the future of intelligent systems and pattern recognition through innovative research and thought leadership.

Journal Snapshot

Journal Name: Los Angeles Journal of Intelligent Systems and Pattern Recognition (LAJISPR)
ISSN:  3791-6122
Journal Initials: LAJISPR
Research Scope: Machine learning algorithms and models, Deep learning and neural networks, Computer vision and image processing, Natural language processing and understanding, Robotics and autonomous systems, Data mining and knowledge discovery, Biometric systems and security applications, Cognitive computing and human-machine interaction
Publication Mode: Digital (On this Website)
Frequency: Annual (1 Volume a year)
Launch Year: 2021
Review Mode: Double Blind Peer Review
Plagiarism Allowed: 10% (as per Turnitin)
Coverage: Worldwide
Language: English