Microgrid operational planning using a hybrid neural network with resource-aware scenario selection
Modern power systems continue to increase in complexity due to the intermittent behavior of
distributed energy resources (DERs) and stochastic climate factors. Considering these …
distributed energy resources (DERs) and stochastic climate factors. Considering these …
Deep learning for automated occlusion edge detection in RGB-D frames
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 …
observer. Detection of occlusion edges is an important prerequisite for many machine vision …
Multi-int query language for dddas designs
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 …
between users and machines. In this manuscript, a live-video computing (LVC) approach is …
Answers to the top ten input modeling questions
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 …
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
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 …
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
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 …
is a lack of systematic methodology and its implementation with the effective control system …
Physics-based and human-derived information fusion video activity analysis
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 …
content from the combination of physics-based and human-derived information fusion …
A dynamic data-driven optimization framework for demand side management in microgrids
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 …
management (DSM) in large-scale power systems play a crucial role in satisfying and …
Regularized difference criterion for computing discriminants for dimensionality reduction
Hyperspectral data classification has shown potential in many applications. However, a
large number of spectral bands cause overfitting. Methods for reducing spectral bands, eg …
large number of spectral bands cause overfitting. Methods for reducing spectral bands, eg …
Urref for veracity assessment in query-based information fusion systems
The uncertainty representation and reasoning evaluation framework (URREF) ontology
discusses an organization, categorization, taxonomy and definitions of uncertainty …
discusses an organization, categorization, taxonomy and definitions of uncertainty …