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Towards Semantic Fusion using Information Quality Awareness to Support Emergency Situation Assessment
(Springer, 2016-01-01)
Information Fusion is the integration of synergic information to support high-level decision-making. Emergency management systems are applications that may take advantage of such integration by supporting system's operators ...
Using Semantics to Improve Information Fusion and Increase Situational Awareness
(Springer, 2016-01-01)
Situational Awareness (SAW) is the ability of a human to perceive, understand and project the states of assets in a real-world environment. In the emergency management domain, SAW is developed by means of a range of ...
Assessing Situation Awareness on Fusion-Driven Emergency Management Systems
(2019-07-01)
Situational Awareness (SAW) is a widespread concept in areas that require critical decision-making and refers to the level of consciousness that an individual or team has about a situation. A poor SAW can induce humans to ...
Assessing Situation Awareness on Fusion-Driven Emergency Management Systems
(Ieee, 2019-01-01)
Situational Awareness (SAW) is a widespread concept in areas that require critical decision-making and refers to the level of consciousness that an individual or team has about a situation. A poor SAW can induce humans to ...
Environment-aware sensor fusion using deep learning
(2019-01-01)
A reliable perception pipeline is crucial to the operation of a safe and efficient autonomous vehicle. Fusing information from multiple sensors has become a common practice to increase robustness, given that different types ...
Registration and fusion of multiple images acquired with medium format cameras
(2010-01-01)
Recent developments in the technology of optical digital sensors made available digital cameras with medium format at favourable cost/benefit ratio. Many companies are using professional medium format cameras for mapping ...
Using relative orientation constraints to produce virtual images from oblique frames
(2012-01-01)
Image acquisition systems based on multi-head arrangement of digital cameras are attractive alternatives enabling larger imaging area when compared to a single frame camera. The calibration of this kind of systems can be ...
A rank aggregation framework for video interestingness prediction
(2017-01-01)
Often, different segments of a video may be more or less attractive for people depending on their experience in watching it. Due to this subjectiveness, the challenging task of automatically predicting whether a video ...
Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification
(2021-01-01)
Deep learning techniques have been widely researched and applied to several problems, ranging from recommendation systems and service-based analysis to medical diagnosis. Nevertheless, even with outstanding results in some ...
Big Data Analytics In The Public Sector: Improving The Strategic Planning In World Class Universities
(IEEE Computer Society, 2013)