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Journal Article
Editorial
2024
Overview
Trainable Gaussian-based activation functions for sensor-based human activity recognition—by Javier Machacuay and Mario Quinde—proposes two Trainable Gaussian-based Activation Functions (AFs) for Multilayer Perceptron neural networks on sensor-based human activity recognition (HAR), namely, the Four-Parameter Activation Gaussian Radial Basis Function (T4GRBF) and the Weighted Gaussian Radial Basis Function (WGRBF). On the one hand, it is to make an early reliability analysis in the development cycle before the implementation to reduce the cost associated with discovering and rectifying failures later in IoT architectures. Performance evaluation of a video surveillance system using stochastic petri nets for license plate detection on highways—by Carlos Brito, Vandirleya Barbosa, Luiz Nelson Lima, José Wanderlei Rocha, José Miquéias Araújo, Lucas Lopes, Paulo A. L. Rego, Michel Sales, Gustavo Callou, Iure Fé and Francisco Airton Silva—proposes a performance model based on stochastic Petri networks for the evaluation of video surveillance systems dedicated to the detection of license plates on highways.
