Innovations in Intelligent Systems

Use of multi-category proximal SVM for data set reduction.- Bayesian control of dynamic systems.- AppART: a hybrid neural network based on adaptive resonance theory for universal function approximation.- An algorithmic approach to the main concepts of rough set theory.- Automated case selection from databases using similarity-based rough approximation.- An induction algorithm with selection significance based on a fuzzy derivative.- Model and fixpoint semantics for fuzzy disjunctive programs with weak similarity.- An automated report generation tool for the data understanding phase.- Finding trigonometric identities with tree adjunct grammar guided genetic Modeling a distributed knowledge management for autonomous cooperative agents with knowledge migration programming.- Intelligent information systems based on paraconsistent logic programs.- Neuro-fuzzy paradigms for intelligent energy management.- Information space optimization for inductive learning.- Detecting, tracking, and classifying human movement using active contour Fuzzy sets in investigation of human cognition processes models and neural networks.- A full explanation facility for an MLP network that classifies .- Automatic translation to controlled medical vocabularies low-back-pain patients and for predicting MLP reliability.- A genetic programming for the induction of natural language parser.

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).