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Artículo
Discrete classification technique applied to TV advertisements liking recognition system based on low‑cost EEG headsets
(BioMed Central, 2016)
Background: In this paper a new approach is applied to the area of marketing research. The aim of this paper is to recognize how brain activity responds during the visualization of short video advertisements using discrete ...
Artículo
Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
(Elsevier, 2018-03-01)
This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural ...
Artículo
Real-time gun detection in CCTV: An open problem
(Elsevier, 2020-12)
Object detectors have improved in recent years, obtaining better results and faster inference time. However, small object detection is still a problem that has not yet a definitive solution. The autonomous weapons detection ...
Artículo
Hybrid agent-based methodology for testing response protocols
(Elsevier, 2021)
In recent years we have seen multiple incidents with a large number of people injured and killed by one or more armed attackers. Since this type of violence is difficult to predict, detecting threats as early as possible ...
Artículo
Low Energy Physical Activity Recognition System on Smartphones
(MDPI, 2015)
An innovative approach to physical activity recognition based on the use of discrete variables obtained from accelerometer sensors is presented. The system first performs a discretization process for each variable, which ...
Artículo
Energy-Efficient Indoor Localization WiFi-Fingerprint System: An Experimental Study
(IEEE Computer Society, 2019)
In order to apply indoor localization systems in real environments it is necessary to provide an accurate location without implying a high impact on the user's normal behaviour. To achieve this goal, in this paper, a ...