Results 31 to 40 of about 1,688 (176)
Voice Analysis to Differentiate the Dopaminergic Response in People With Parkinson's Disease
Frontiers in Human Neuroscience, 2021 Humans' voice offers the widest variety of motor phenomena of any human activity. However, its clinical evaluation in people with movement disorders such as Parkinson's disease (PD) lags behind current knowledge on advanced analytical automatic speech ...
Anubhav Jain +9 more
doaj +1 more source
Multimodal sentiment system and method based on CRNN-SVM
Neural Computing and Applications, 2023 AbstractTraditional sentiment analysis focuses on text-level sentiment mining, transforming sentiment mining into classification or regression problems, resulting in a sentiment analysis low accuracy rate. Sentiment analysis refers to the use of natural language processing, text analysis, and computational linguistics to systematically identify ...
Yuxia Zhao +3 more
openaire +1 more source
Combined CNN and RNN Neural Networks for GPR Detection of Railway Subgrade Diseases
Sensors, 2023 Vehicle-mounted ground-penetrating radar (GPR) has been used to non-destructively inspect and evaluate railway subgrade conditions. However, existing GPR data processing and interpretation methods mostly rely on time-consuming manual interpretation, and ...
Huan Liu +6 more
doaj +1 more source
Convolutional Recurrent Neural Network-Based Event Detection in Tunnels Using Multiple Microphones
Sensors, 2019 This paper proposes a sound event detection (SED) method in tunnels to prevent further uncontrollable accidents. Tunnel accidents are accompanied by crashes and tire skids, which usually produce abnormal sounds.
Nam Kyun Kim +2 more
doaj +1 more source
Frontiers in Bioscience-LandmarkBackground: The prevalence of laryngeal squamous cell carcinoma (LSCC) is increasing, and it poses a significant threat to human health; therefore, identifying specific targets for LSCC remains crucial.
Feilong Hong, Xuemei Wan, Yundan Bai
doaj +1 more source
EURASIP Journal on Audio, Speech, and Music Processing, 2022 In the task of sound event detection and localization (SEDL) in a complex environment, the acoustic signals of different events usually have nonlinear superposition, so the detection and localization effect is not good. Given this, this paper is based on
Chaofeng Lan +6 more
doaj +1 more source
Digital Chemical Engineering, 2022 The problem of gas-liquid (two-phase) flow regime identification in an S-shaped riser using an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is addressed.
Boyu Kuang +4 more
doaj +1 more source
Existence and Learning of Teaching Network for CRNN
International Journal of Computer Applications, 2011 Existence and Learning of Teaching Network for Complex Recurrent Neural Network (CRNN) has been discussed in this piece of research. Issues related to the quaternionic neural network have been taken into consideration. In this paper by considering the special class of CRNN for which existence of attractive periodic solution in teaching network has been
Avanish Kumar, Neeraj Sahu
openaire +1 more source
Sound Event Localization and Detection Using CRNN on Pairs of Microphones [PDF]
Proceedings of the Detection and Classification of Acoustic Scenes and
Events 2019 Workshop (DCASE2019), 2019 This paper proposes sound event localization and detection methods from multichannel recording. The proposed system is based on two Convolutional Recurrent Neural Networks (CRNNs) to perform sound event detection (SED) and time difference of arrival (TDOA) estimation on each pair of microphones in a microphone array.
François Grondin +3 more
openaire +3 more sources
An advanced deep learning model for predicting water quality index
Ecological IndicatorsPredicting a water quality index (WQI) is important because it serves as an important metric for assessing the overall health and safety of water bodies. Our paper develops a new hybrid model for predicting the WQI.
Mohammad Ehteram +3 more
doaj +1 more source