There has been an ever-increasing interest in multi-disciplinary research on multisensor
data fusion technology, driven by its versatility and diverse areas of application. Therefore …

Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …

Increasingly we rely on machine intelligence for reasoning and decision making under
uncertainty. This tutorial reviews the prevalent methods for model-based autonomous …

Since the concept of the Macroscopic Fundamental Diagram (MFD) has been introduced,
many studies have investigated the existence and characteristics of the MFD using empirical …

This paper considers Bayesian data fusion of conventional robot sensor information with
ambiguous human-generated categorical information about continuous world states of …

Human activity recognition (HAR) based on sensor information has become a hot topic of
research due to its wide range of applications in health care, fitness, and smart homes …

eXfiltration Advanced Persistent Threats (XAPTs) increasingly account for incidents
concerned with critical information exfiltration from High Valued Targets (HVTs). Existing …

With the advent of digital imaging, it has become fairly easy to modify the content of an
image in many different ways while leaving no obvious visual clue. This has further …

Implementation of a data fusion system is a complex task. Several of the most critical issues
related to the implementation are requirements analysis, sensor selection, architecture …

Performance evaluation or parameter estimation for a hierarchical structure prototype
product is an imperative yet difficult task. The challenge comes from both inaccurate prior …