Bücher von Amit Konar

This book presents a thorough analysis of gestural data extracted from raw images and/or range data with an aim to recognize the gestures conveyed by the data.

This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications.

This book provides a solution to the call admission control (CAC) problem, considering dynamic channel assignments (DCA) as an integral part of decision-making for call admission. It employs evolutionary techniques to solve the optimization problems.

Clear and insightful, this introduction to a new discipline of knowledge deals with modeling, recognition and control of human emotions. It uses mathematical models to analyze the artificial control of emotion and the interaction between emotion and logic.

What we profoundly witness these days is a growing number of human-centric systems and a genuine interest in a comprehensive understanding of their underlying paradigms and the development of solid and efficient design practices.

This book introduces the parallel and distributed approach to logic programming, examining existing models of distributed logic programming, and proposing an alternative framework for distributed logic programming using extended Petri nets.