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Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network

Navarro, Juan M.; Martínez-España, Raquel; Bueno-Crespo, Andrés; Cecilia-Canales, José María; Martínez, Ramón (MDPI AG, 2020-02)

[EN] Wireless acoustic sensor networks are nowadays an essential tool for noise pollution monitoring and managing in cities. The increased computing capacity of the nodes that create the network is allowing the addition ...
Speaker-Adapted Confidence Measures for ASR using Deep Bidirectional Recurrent Neural Networks

Del Agua Teba, Miguel Angel; Giménez Pastor, Adrián; Sanchis Navarro, José Alberto; Civera Saiz, Jorge; Juan, Alfons (Institute of Electrical and Electronics Engineers, 2018)

[EN] In the last years, Deep Bidirectional Recurrent Neural Networks (DBRNN) and DBRNN with Long Short-Term Memory cells (DBLSTM) have outperformed the most accurate classifiers for confidence estimation in automatic speech ...
Vehicular Network Intrusion Detection Using a Cascaded Deep Learning Approach with Multi-Variant Metaheuristic

Manderna, Ankit; Kumar, Sushil; Dohare, Upasana; Aljaidi, Mohammad; Kaiwartya, Omprakash; Lloret, Jaime (MDPI AG, 2023-11)

[EN] Vehicle malfunctions have a direct impact on both human and road safety, making vehicle network security an important and critical challenge. Vehicular ad hoc networks (VANETs) have grown to be indispensable in recent ...

Mostrando ítems 1-3 de 3