Transformative computing is a quite new branch of computer sciences, and define advanced computational paradigm, which allow to join wireless communication technologies, sensing devices and artificial intelligence technologies. It enhances computational possibilities, and increase efficiency of data fusion, exploration and analysis using edge sensors and augmented cognition. It can be applicable for advanced information processing and management areas, especially thanks to the development of new AI approaches and techniques, oriented on using of novel models for data processing, and cognitive computing. Artificial Intelligence and cognitive reasoning are based on human visual perception models and perceptual abilities. Such human-oriented information processing methods, allow to intelligently analyze a great amount of data (Cloud, Big, multimedia, etc.), and manage them in secure manner, and transmit over global communication networks.
In this SI we’ll try to focus on new possible applications of cognitive approaches and transformative computing for information processing, data fusion and analysis, knowledge extraction, and secure distributed information management. These subjects, as well as a number of others, connected with transformative computing, and advanced information processing will form the subject of this Special Issue on “Transformative computing approaches for advanced management solutions and cognitive processing” in the Information Processing & Management Journal.
Topics of interest include, but are not limited to, the following:
Transformative computing applications
Behavioral and perceptual models for data analysis and management
Cognitive approaches for information processing and understanding
New models for secure and hierarchical information management
Application of cognitive information systems
Innovative approaches for information acquisition and management
Human oriented protocols for services management
Information retrieval and decision support systems
Computational intelligence and ambient technologies for data evaluation