Nowadays, huge quantities of data can be easily accessible, but all these data are not useful if we do not know how to process them efficiently and how to extract easily relevant information from a...
This monograph is concerned with the analysis and numerical solution of a stochastic inverse anomaly detection problem in electrical impedance tomography (EIT). Martin Simon studies the problem of...
This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource constrained sensor networks; a number of algorithms on...
Over the past decade, use of hyperspectral imagery has been intensively investigated for agricultural product inspection, since it introduces a new noninvasive machine-vision method that gives a very...
Written for IT professionals and security analysts, this book provides an in-depth analysis of various monitoring algorithms that are used to detect anomalous access to computer systems. The authors...