ICWAPR covers a broad spectrum of cutting-edge research in wavelet theory, pattern recognition, and their interdisciplinary applications. The conference focuses on theoretical advancements in wavelet analysis, filter banks, approximation theory, and time-frequency analysis, alongside practical applications in areas such as image processing, biomedical imaging, signal estimation, noise reduction, and machine vision. Key topics include machine learning, feature extraction, emotion computation, fault diagnosis, intelligent robotics, and human-machine interfaces. ICWAPR also explores emerging applications in fields like biometrics, document analysis, seismological signal processing, texture classification, and artificial life. This conference provides a platform for researchers to present their latest findings in wavelet-based methods and pattern recognition techniques, fostering innovation and collaboration across various scientific domains.

International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) is technically sponsored by IEEE. The proceedings  of this event are likely to be listed in  prestigious databases such as Scopus, Web of Science (WoS), Ei Compendex, DBLP, Google Scholar, and many others.