This paper presents a novel hybrid optimization method to solve the resource allocation
problem for multi-target multi-sensor tracking of drones. This hybrid approach, the Improved …

Selecting an optimal subset of sensors that can accurately reconstruct the full state of the
ocean can reduce the cost of the monitoring system and improve monitoring efficiency …

Multiple sensors are incorporated in modern mobile devices. The ubiquity of these mobile
devices with a wide range of embedded sensors enables developing new types of sensor …

We propose a novel Data Quality with Security (DQS) integrated instrumentation selection
approach that facilitates aggregation of multi-modal data from heterogeneous sources. As …

The increasing vehicle volume every year affects the prediction of the traffic system. The
purpose of predicting traffic flow is to estimate the lost data caused by sensor malfunctions …

We develop Genetic Algorithms based method and the tool to select sensors, which provide
the specified quality of data after fusion. In this paper, we concentrate on introducing multi …

In our study, we investigate Machine Learning (ML) application robustness in ML Integrated
with Network (MLIN) systems. We consider MLIN as an integration of three major …

This paper investigates microelectromechanical systems (MEMS) technology sensors. The
device-and system-level analyses are performed. An investigation is focused on multi …

Data quality (DQ) is an important concept that is used in the design and employment of
information, data management, decision making, and engineering systems with multiple …

The advances in the information and communication technologies over the last decade laid
a strong foundation for data generation and storage on a staggering scale. Also, this …