International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI)
The International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) publishes both theory-oriented and innovative applications articles on new developments in the fields of pattern recognition and artificial intelligence. It is of interest to researchers in both academia and industry, providing a platform for the dissemination of advancements in these areas.
The journal covers a wide range of topics including, but not limited to:
Pattern Recognition: Methods, algorithms, and applications in image, speech, video, and signal processing.
Artificial Intelligence: Machine learning, neural networks, evolutionary computation, knowledge representation, and reasoning.
Applications: Innovations and advancements in real-world applications of pattern recognition and artificial intelligence.
Theory: Theoretical foundations, new methodologies, and mathematical models related to pattern recognition and AI.
The International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) serves as a vital resource for researchers and practitioners seeking to stay updated with the latest developments and applications in these rapidly evolving fields.
Journal Home:  Journal Homepage
Editor-in-Chief:  Xiaoyi Jiang
scope:
International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) publishes both applications and theory-oriented articles on new developments in the fields of pattern recognition and artificial intelligence. It serves as a platform for researchers in both industry and academia to share high-quality research and advancements in these domains.
International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) welcomes both theory-oriented and innovative applications articles on new developments in the following areas:
Pattern Recognition: Advancements in pattern recognition techniques, including statistical, structural, syntactic, and neural network-based approaches.
Artificial Intelligence: Research on artificial intelligence methodologies, algorithms, and applications, including machine learning, knowledge representation, reasoning, and natural language processing.
Computer Vision: Techniques and applications of computer vision, image processing, and multimedia analysis, including object detection, recognition, tracking, and scene understanding.
Pattern Analysis: Methods for analyzing and interpreting patterns in data, signals, and images, including feature extraction, classification, clustering, and anomaly detection.
Biometrics: Applications of pattern recognition techniques in biometric systems for authentication and identification, including fingerprint, face, iris, and gait recognition.
Robotics and Autonomous Systems: Integration of pattern recognition and artificial intelligence in robotics and autonomous systems, including sensor data interpretation, robot perception, and decision-making.
Applications in Industry and Academia: Practical applications of pattern recognition and artificial intelligence technologies in various domains, including healthcare, finance, security, manufacturing, and multimedia.
Evaluation and Benchmarking: Methods and metrics for evaluating the performance and benchmarking of pattern recognition and artificial intelligence systems.
Print ISSN:  0218-0014
Electronic ISSN:  1793-6381
Abstracting and Indexing:  Science Citation Index Expanded, Scopus.
Imapct Factor 2023:  0.9
Subject Area and Category:  Computer Sciences
Publication Frequency:  Bimonthly
H Index:  62
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Q2:  
Q3:  Computer Vision and Pattern Recognition
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Cite Score:  2.9
SNIP:  0.454
Journal Rank(SJR):  0.302
Latest Articles:   Latest Articles in International Journal of Pattern Recognition and Artificial Intelligence
Guidelines for Authors: International Journal of Pattern Recognition and Artificial Intelligence Author Guidelines
Publisher:  World Scientific Publishing Co Pte Ltd
Country:  Singapore