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Online Approximation of Prediction Intervals Using Artificial Neural Networks
(Springer International Publishing, 2018)
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 ...
Jointly-optimized Searching and Tracking with Random Finite Sets
(2019)
In this paper we investigate the problem of joint searching and tracking of multiple mobile targets by a group of mobile agents. The targets appear and disappear at random times inside a surveillance region and their ...
Optimization Based Partitioning Selection for Improved Contaminant Detection Performance
(2018)
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 ...
Queue-Based Resampling for Online Class Imbalance Learning
(Springer International Publishing, 2018)
Online class imbalance learning constitutes a new problem and an emerging research topic that focusses on the challenges of online learning under class imbalance and concept drift. Class imbalance deals with data streams ...
Effective Multi-region Traffic Control and Demand Management Using an Overlay Route-Reservation Scheme
(2018)
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 ...
A Data-Driven Bandwidth Allocation Framework With QoS Considerations for EONs
(2019)
This paper proposes a data-driven bandwidth allocation (BA) framework for periodically and dynamically reconfiguring an elastic optical network according to predictive BA (PBA) models. The proposed framework is scalable ...
Information Structures for Feedback Capacity of Channels With Memory and Transmission Cost: Stochastic Optimal Control and Variational Equalities
(2018)
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 ...
Joint route guidance and demand management for multi-region traffic networks
(2019)
Traffic congestion occurs as demand surpasses the available capacity of a road network, resulting to lower speeds and longer journey times
Estimating the Critical Density of Road Transportation Networks using Infinitesimal Perturbation Analysis of Hybrid Systems
(2018)
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 ...
Measuring tissue dispersion using the cross-correlation of half-spectrum optical coherence tomography images
(International Society for Optics and Photonics, 2019)
In Optical Coherence tomography (OCT), dispersion mismatches cause degradation of the image resolution and are, thus, compensated accordingly. However, dispersion is specific to the material that is causing the effect and ...