A Peer Reviewed Refereed Research Journal
Electronic ISSN online: 2049-8888
Print ISSN: 2049-887X
Journal IMPACT Factor: 9.56
(This is Electronic Publication Webpage, For Print Version Please see the Old website)
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CALL FOR PAPERS FOR July-Dec 2024 ISSUE PLEASE SUBMIT THE ARTICLES
Editor in Chief
Dr. M.A. Dorgham
ISSN online
2049-8888
ISSN print
2049-887X
4 issues per year
Subscription price
Clarivate Analytics 2022
JCI 0.14
IJAPR presents original research on the theoretical, experimental and applied aspects of pattern analysis, extraction, classification and clustering. The journal focuses on areas such as feature selection, feature extraction, large data problems, online learning, classifiers and perception models. IJAPR acknowledges and encourages submissions reflecting the importance of large data analysis and online learning in industrial applications.
Objectives
The objectives of IJAPR are to establish effective communications between researchers and developers to create awareness and propel the development of pattern recognition applications. It aims to benchmark, evaluate and standardise new research ideas and methods having high impact on industrial and scientific applications.
Readership
IJAPR provides a vehicle to help professionals, engineers, academics and researchers working in the field of machine intelligence hardware to disseminate information on state-of-the-art techniques and their management, evaluation, benchmarking and standardisation mainly when applied to large data pattern recognition problems. The journal serves as a forum to integrate interdisciplinary research work involving academic researchers and industrial scientists and developers in the area of real world data analytics and their implementation.
Contents
IJAPR publishes original regular papers, research reviews, and short papers on the design, development, evaluation, testing and standardisation of pattern recognition applications. Special issues devoted to important and emerging topics in pattern recognition applications as well as to related international events on these topics will also be published.
Face recognition and analysis
Speech recognition and analysis
Natural object recognition and analysis
Image recognition
Speaker recognition
Biometric recognition
Predictive modelling applications
Large data forecasting applications
Insect and plant recognition
Geographic applications
Natural language recognition
Pattern recognition in biosciences applications
Pattern recognition in health informatics applications
Pattern recognition in library applications
Pattern recognition in computational science applications
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