Pattern Recognition Physics (PRP) is a peer-reviewed journal that publishes the latest research on the theoretical, experimental and applied aspects of pattern analysis, extraction, classification and clustering in all branches and disciplines of physics. The journal gathers new research, novelty and case studies of theories, methods and applications of Pattern Recognition (PR) in physics. The journal will also publish special issues dealing with pattern recognition applied to a specific area of research or related to a new technology/method of PR.
Submitted papers will be subjected to rigorous review; at least two referees will review the papers.
PRP will focus on theory, methods and applications of Pattern Recognition in the following areas and other relevant research related to physics:

-Geophysics/Geology;
-Earth Sciences;
-Robotics;
-Artificial Intelligence (AI), Neural Network and Machine Learning;
-Speech Recognition, Music Analysis and Multimedia Systems;
-Biometrics;
-Biomedical Pattern Analysis and Information Systems;
-Special Hardware Architectures;
-Software Packages for Pattern Recognition;
-Social/Economical Applications of Pattern Recognition;
-Image Processing;
-Signal Processing;
-Complex (Dynamical) Systems Methods for Pattern Recognition;
-Text/Document Processing.

PRP publishes the following types of articles:
Regular Research Articles,
Research Review Articles,
Short Papers,
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