Results 131 to 140 of about 1,688 (176)

Detection of Polyphonic Alarm Sounds From Medical Devices Using Frequency-Enhanced Deep Learning: Simulation Study. [PDF]

JMIR Med Inform
Kishimoto K, Takemura T, Sugiyama O, Kojima R, Yakami M, Yamamoto G, Kuroda T.   +6 more
europepmc   +1 more source

Single-Character-Based Embedding Feature Aggregation Using Cross-Attention for Scene Text Super-Resolution. [PDF]

Sensors (Basel)
Wang M, Li Q, Liu H.
europepmc   +1 more source

A lightweight CNN-transformer hybrid architecture with channel attention for real-time hazardous acoustic event detection. [PDF]

Front Artif Intell
Altayeva A, Omarov N.
europepmc   +1 more source

Automated Cough Analysis with Convolutional Recurrent Neural Network. [PDF]

Bioengineering (Basel)
Wang Y, Wahab M, Hong T, Molinari K, Gauvreau GM, Cusack RP, Gao Z, Satia I, Fang Q.   +8 more
europepmc   +1 more source

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A CRNN module for hand pose estimation

Neurocomputing, 2019
Abstract Hand pose estimation plays an important role in human–computer interaction. The traditional way is to deal with a video stream frame by frame. However, since the gesture in the video is changing continuously, the adjacent frames must be highly related to each other.
Zhongxu Hu, Jie Liu, Thomas Kurfess
exaly   +2 more sources

Crnn-Ctc Based Mandarin Keywords Spotting

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Deep learning based approaches have greatly improved the performance of spoken keyword spotting (KWS). However, KWS of different languages should have their own corresponding modeling units to optimize the performance. In this paper, we propose an end-to-end Mandarin KWS system using Convolutional Recurrent Neural Network with the Connectionist ...
Haikang Yan, Qianhua He, Wei Xie 0013
openaire   +1 more source

MA-CRNN: a multi-scale attention CRNN for Chinese text line recognition in natural scenes

International Journal on Document Analysis and Recognition (IJDAR), 2019
The recognition methods for Chinese text lines, as an important component of optical character recognition, have been widely applied in many specific tasks. However, there are still some potential challenges: (1) lack of open Chinese text recognition dataset; (2) challenges caused by the characteristics of Chinese characters, e.g., diverse types ...
Guofeng Tong, Yong Li 0028, Huashuai Gao, Huairong Chen, Hao Wang, Xiang Yang   +5 more
openaire   +1 more source

CRNN: Integrating classification rules into neural network

The 2013 International Joint Conference on Neural Networks (IJCNN), 2013
Association classification has been an important type of the rule-based classification. A variety of approaches have been proposed to build a classifier based on classification rules. In the prediction stage of the extant approaches, most of the existing association classifiers use the ensemble quality measurement of each rule in a subset of rules to ...
Wei Li 0117, Longbing Cao, Dazhe Zhao, Xia Cui 0002, Jinzhu Yang   +4 more
openaire   +1 more source

Design and construction of 14 Arabic fricatives dataset, classification and characterization using CRNN, transformers, and H-CRNN

Multimedia Tools and Applications
Aicha Zitouni, Leila Falek, Aissa Amrouche   +2 more
exaly   +2 more sources

Medical Handwritten Prescription Recognition Using CRNN

2019 International Conference on Computer, Information and Telecommunication Systems (CITS), 2019
Reading a doctor’s handwritten prescription is a challenge that most patients and some pharmacists face; an issue that, in some cases, lead to negative consequences due to wrong deciphering of the prescription. Part of the reason why doctor’s prescriptions are so difficult to decipher is that doctors make use of Latin abbreviations and medical ...
Roger Achkar, Khodor Ghayad, Rayan Haidar, Sawsan Saleh, Rana Al Hajj   +4 more
openaire   +1 more source