Structural health monitoring (SHM) includes both static and highly dynamic engineering
systems. With the advent of real-time sensing, edge-computing, and high-bandwidth …

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death
worldwide. Current COPD diagnosis (ie, spirometry) could be unreliable because the test …

To better monitor and control distribution grids, the exact knowledge of system topology and
parameters is a fundamental requirement. However, topology information is usually …

To ensure a successful and profitable energy future, the Dynamic Data Driven Applications
Systems (DDDAS) paradigm can help gain advantages in all aspects of the petroleum …

Data fusion from a variety of sources requires alignment, association, and analysis. One
method to determine the relationship between two variables measuring the same …

The main goal of Grid programming is the study of programming models, tools, and methods
that support the effective development of portable and high-performance algorithms and …

Machine learning (ML) algorithms have been widely used in many critical automated
systems, including as a technique in Dynamic Data Driven Applications Systems (DDDAS) …

Autonomy proliferates air and space traffic management with the National Aeronautics and
Space Administration (NASA) initiative on Unmanned Aircraft System Traffic Management …

For intelligence and surveillance methods, information fusion techniques typically increase
the accuracy and reliability of results through uncertainty reduction. Recently, artificial …

The efficient utilization of distributed generation resources (DGs) and demand side
management (DSM) in large-scale power systems play a crucial role in satisfying and …