• ISSN: 2287-4844 (Print), 2287-4852 (Online)
    • Abbreviated Title: Prog. Intell. Comput. Appl.
    • Frequency: Annually
    • Editor-in-Chief: Dr. William Guo
    • Executive Editor:  Xian Zhang
    • Published by: Australasian Professional Development and Academic Services (APDAS)(registered from Feb 2013)
    • Indexed by:  Google Scholar, Engineering & Technology Digital Library, Crossref, Proquest and DOAJ
    • E-mail: pica@etpub.com

Aims and Scope

High quality submissions that advance the research and that contribute something new to the literature on Computing & Information Technology are encouraged. The special focus of the PICA forum is to publish path-breaking applications and applied research results. Coverage of PICA includes, but not exclusive:

• neural networks
• fuzzy logic
• evolutionary computation
• ant colony optimization
• particle swarm
• statistical models
• hybrid intelligent systems
• expert systems
• pattern recognition
• machine learning
• data mining
• text, image, video/audio processing
• natural language analysis
• information retrieval
• computer, information and network security
• visualization, simulation, modeling and optimization
• biological computing
• Web based computing
• mobile and cloud computing
• scientific and engineering applications
• social and economical applications
• health and medical applications
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E-mail: pica@etpub.com