Microgrid operational planning using a hybrid neural network with resource-aware scenario selection

J Darville, J Curia, N Celik - Simulation Modelling Practice and Theory, 2022 - Elsevier
Modern power systems continue to increase in complexity due to the intermittent behavior of
distributed energy resources (DERs) and stochastic climate factors. Considering these …

Deep learning for automated occlusion edge detection in RGB-D frames

S Sarkar, V Venugopalan, K Reddy, J Ryde… - Journal of Signal …, 2017 - Springer
Occlusion edges correspond to range discontinuity in a scene from the point of view of the
observer. Detection of occlusion edges is an important prerequisite for many machine vision …

Multi-int query language for dddas designs

AJ Aved, EP Blasch - Procedia Computer Science, 2015 - Elsevier
Context understanding is established from coordination of content, analysis, and interaction
between users and machines. In this manuscript, a live-video computing (LVC) approach is …

Answers to the top ten input modeling questions

B Biller, BL Nelson - Proceedings of the Winter Simulation …, 2002 - ieeexplore.ieee.org
In this tutorial we provide answers to the top ten input-modeling questions that new
simulation users ask, point out common mistakes that occur and give relevant references …

Enhance public safety surveillance in smart cities by fusing optical and thermal cameras

N Poredi, Y Chen, X Li, E Blasch - 2023 26th International …, 2023 - ieeexplore.ieee.org
The recent advancements in the Internet of Video Things (IoVT) and Edge-Fog-Cloud
Computing paradigm make smart public safety surveillance (SPSS) a realistic solution for an …

Design and development of a DDDAMS-based border surveillance system via UVs and hybrid simulations

S Lee, S Jain, Y Yuan, Y Zhang, H Yang, J Liu… - Expert Systems with …, 2019 - Elsevier
Despite the increasing use of sensor technologies in border surveillance applications, there
is a lack of systematic methodology and its implementation with the effective control system …

Physics-based and human-derived information fusion video activity analysis

EP Blasch, AJ Aved - 2018 21st International Conference on …, 2018 - ieeexplore.ieee.org
With ubiquitous data acquired from sensors, there is an ever increasing ability to abstract
content from the combination of physics-based and human-derived information fusion …

A dynamic data-driven optimization framework for demand side management in microgrids

H Damgacioglu, M Bastani, N Celik - Handbook of Dynamic Data Driven …, 2018 - Springer
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 …

Regularized difference criterion for computing discriminants for dimensionality reduction

AJ Aved, EP Blasch, J Peng - IEEE Transactions on Aerospace …, 2017 - ieeexplore.ieee.org
Hyperspectral data classification has shown potential in many applications. However, a
large number of spectral bands cause overfitting. Methods for reducing spectral bands, eg …

Urref for veracity assessment in query-based information fusion systems

E Blasch, A Aved - 2015 18th International Conference on …, 2015 - ieeexplore.ieee.org
The uncertainty representation and reasoning evaluation framework (URREF) ontology
discusses an organization, categorization, taxonomy and definitions of uncertainty …