Prediction intervals offer a means of assessing the uncertainty of artificial neural networks’ point predictions. In this work, we propose a hybrid approach for constructing prediction intervals, combining the Bootstrap ...

Indoor Air Quality monitoring is an essential ingredient of intelligent buildings. The release of various airborne contaminants into the buildings, compromises the health and safety of occupants. Therefore, early contaminant ...

In this work, we assume that a heterogeneous urban area is partitioned into multiple homogeneous regions. The proposed approach creates an overlay graph which is used by the reservation architecture to control the traffic ...

Stochastic optimal control theory and a variational equality of directed information are applied, to develop a methodology to identify the information structures of optimal channel input conditional distributions, which ...

In this paper, we adobe the Stochastic Fluid Modeling framework to model the critical density of a road network and we employ the route-reservation scheme (as proposed in [1], [2]) to control traffic for a congestion-free ...

This work investigates the joint optimization problem of demand management and route guidance to minimize the time spent of vehicles in traffic networks characterized by well-defined regional fundamental diagrams. To account ...

This paper presents an optimization-based approach for active fault isolation in linear time invariant systems subject to additive disturbances which are bounded in intervals. We model the evolution of the system states ...

Current and future multicore architectures can significantly accelerate the performance of test automation procedures depending on the underlying architecture and the scalability of their algorithms. This paper proposes a ...

In this paper a unified framework is presented for coordinated multi-drone tasking in emergency response missions. As elaborated in this work, response missions can be broken into a number of distinct tasks that can be ...

Accurate photovoltaic (PV) production forecasting is necessary for the optimal integration of this technology into existing power systems and is important for both grid and plant operators. The purpose of this work is to ...