Underwater target recognition using convolutional recurrent neural networks with 3-D Mel-spectrogram and data augmentation
Sign Up to like & getrecommendations! Published in 2021 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2021.107989
Abstract: Abstract Passive recognition of underwater acoustic targets is a hot research issue in acoustic signal processing. The long-term interference of irregular noise in the marine environment caused the relevance of the passive recognition method of… read more here.
Keywords: mel spectrogram; convolutional recurrent; recurrent neural; data augmentation ... See more keywords
Sense and Avoid using Hybrid Convolutional and Recurrent Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.11.070
Abstract: Abstract This work develops a Sense and Avoid strategy based on a deep learning approach to be used by UAVs using only one electro-optical camera to sense the environment. Hybrid Convolutional and Recurrent Neural Networks… read more here.
Keywords: sense avoid; neural networks; convolutional recurrent; hybrid convolutional ... See more keywords
Multiclass classification of myocardial infarction with convolutional and recurrent neural networks for portable ECG devices
Sign Up to like & getrecommendations! Published in 2018 at "Informatics in Medicine Unlocked"
DOI: 10.1016/j.imu.2018.08.002
Abstract: Abstract Myocardial infarction (MI) is a medical emergency for which the early detection of symptoms is desirable. The prevalence of portable electrocardiogram (ECG) devices makes frequent screening for MI possible. In this study, we develop… read more here.
Keywords: classification; neural networks; myocardial infarction; convolutional recurrent ... See more keywords
Attention based convolutional recurrent neural network for environmental sound classification
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.08.069
Abstract: Abstract Environmental sound classification (ESC) is a challenging problem due to the complexity of sounds. The classification performance is heavily dependent on the effectiveness of representative features extracted from the environmental sounds. However, ESC often… read more here.
Keywords: sound classification; classification; network; convolutional recurrent ... See more keywords
Automated detection of mouse scratching behaviour using convolutional recurrent neural network
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-020-79965-w
Abstract: Scratching is one of the most important behaviours in experimental animals because it can reflect itching and/or psychological stress. Here, we aimed to establish a novel method to detect scratching using deep neural network. Scratching… read more here.
Keywords: scratching behaviour; network; convolutional recurrent; recurrent neural ... See more keywords
Convolutional-Recurrent Neural Networks With Multiple Attention Mechanisms for Speech Emotion Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2021.3123979
Abstract: Speech emotion recognition (SER) aims to endow machines with the intelligence in perceiving latent affective components from speech. However, the existing works on deep-learning-based SER make it difficult to jointly consider time–frequency and sequential information… read more here.
Keywords: recurrent neural; attention; multiple attention; emotion recognition ... See more keywords
Convolutional Recurrent Predictor: Implicit Representation for Multi-Target Filtering and Tracking
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2019.2931170
Abstract: Defining a multi-target motion model, an important step of tracking algorithms, is a challenging task due to various factors, from its theoretical formulation to its computational complexity. Using fixed models (as in several generative Bayesian… read more here.
Keywords: target filtering; filtering tracking; convolutional recurrent; target ... See more keywords
HybridMouse: A Hybrid Convolutional-Recurrent Neural Network-Based Model for Identification of Mouse Ultrasonic Vocalizations
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Behavioral Neuroscience"
DOI: 10.3389/fnbeh.2021.810590
Abstract: Mice use ultrasonic vocalizations (USVs) to convey a variety of socially relevant information. These vocalizations are affected by the sex, age, strain, and emotional state of the emitter and can thus be used to characterize… read more here.
Keywords: hybridmouse hybrid; hybrid convolutional; ultrasonic vocalizations; model ... See more keywords
Regional Prediction of Ozone and Fine Particulate Matter Using Diffusion Convolutional Recurrent Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19073988
Abstract: Accurate air quality forecasts can provide data-driven supports for governmental departments to control air pollution and further protect the health of residents. However, existing air quality forecasting models mainly focus on site-specific time series forecasts… read more here.
Keywords: diffusion convolutional; prediction; ozone; model ... See more keywords