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A tutorial review on entropy-based handcrafted feature extraction for information fusion
(2018-05-01)
Entropy (H) is the main subject of this article, concisely written to serve as a tutorial introducing two feature extraction (FE) methods for usage in digital signal processing (DSP) and pattern recognition (PR). The theory, ...
Human gait recognition using extraction and fusion of global motion features
(SPRINGER, 2011)
This paper proposes a novel computer vision approach that processes video sequences of people walking and then recognises those people by their gait. Human motion carries different information that can be analysed in various ...
SARS-CoV fusion peptides induce membrane surface ordering and curvature
(2016-11-28)
Viral membrane fusion is an orchestrated process triggered by membrane-anchored viral fusion glycoproteins. The S2 subunit of the spike glycoprotein from severe acute respiratory syndrome (SARS) coronavirus (CoV) contains ...
An approach to implement data fusion techniques in wireless sensor networks using genetic machine learning algorithms
(2013-06-10)
Wireless Sensor Networks (WSNs) can be used to monitor hazardous and inaccessible areas. In these situations, the power supply (e.g. battery) of each node cannot be easily replaced. One solution to deal with the limited ...
Human-centric wireless sensor networks to improve information availability during urban search and rescue activities
(Elsevier, 2015)
When a natural disaster hits an urban area, the first 72 h after are the most critical. After that period the
probability of finding survivors falls dramatically, therefore the search and rescue activities in that area
must ...
Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2014)
Evolving granular neural networks from fuzzy data streams
(Pergamon-elsevier Science LtdOxfordInglaterra, 2013)
Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II)
(2018-05-01)
This article introduces the second generation of the Discrete Shapelet Transform (DST-II), a tool created for fusing three types of information: time, frequency and shape-related. Considered a particular Discrete Wavelet ...
Unraveling fission-fusion dynamics: how subgroup properties and dyadic interactions influence individual decisions
(Springer, 2014-05)
Many species show fission-fusion group dynamics because it has clear advantages for flexibly exploiting heterogeneous environments. However, the mechanisms by which these dynamics arise are not well known. We used a ...
Fusion of time series representations for plant recognition in phenology studies
(2016-11-01)
Nowadays, global warming and its resulting environmental changes is a hot topic in different biology research area. Phenology is one effective way of tracking such environmental changes through the study of plant's periodic ...