Progress in Intelligent Computing and Applications (ISSN: 2287-4844)

Description

The aim of Progress in Intelligent Computing and Applications is to
? rapidly publish new and interesting results in the field of computational intelligence in the form of concise papers;
? disseminate innovative applications of intelligent computing techniques in all disciplines;
? promote both summative and progressive reviews on specific themes related to Intelligent Computing and Applications;
? facilitate focused tutorials on intelligent computing techniques to assist researchers, engineers and scientists in adopting intelligent computing in problem solving.
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