Results 31 to 40 of about 1,913 (199)

Accelerating High b-Value Diffusion-Weighted MRI Using a Convolutional Recurrent Neural Network (CRNN-DWI)

Bioengineering, 2023
Purpose: To develop a novel convolutional recurrent neural network (CRNN-DWI) and apply it to reconstruct a highly undersampled (up to six-fold) multi-b-value, multi-direction diffusion-weighted imaging (DWI) dataset.
Zheng Zhong, Kanghyun Ryu, Jonathan Mao, Kaibao Sun, Guangyu Dan, Shreyas S. Vasanawala, Xiaohong Joe Zhou   +6 more
doaj   +1 more source

Automated detection of mouse scratching behaviour using convolutional recurrent neural network

Scientific Reports, 2021
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.
Koji Kobayashi, Seiji Matsushita, Naoyuki Shimizu, Sakura Masuko, Masahito Yamamoto, Takahisa Murata   +5 more
doaj   +1 more source

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, Kian Abedinpour, Ozgur Polat, Mine Melodi Çalışkan, Mine Melodi Çalışkan, Afsaneh Asaei, Franz M. J. Pfister, Urban M. Fietzek, Urban M. Fietzek, Milos Cernak   +9 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, Kwang Myung Jeon, Hong Kook Kim   +2 more
doaj   +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, Shilei Wang, Guoqing Jing, Ziye Yu, Jin Yang, Yong Zhang, Yunlong Guo   +6 more
doaj   +1 more source

CRNN: A Joint Neural Network for Redundancy Detection [PDF]

SSRN Electronic Journal, 2016
Conference paper accepted at IEEE SMARTCOMP 2017, Hong ...
Fu, Xinyu, Ch'ng, Eugene, Aickelin, Uwe, See, Simon   +3 more
openaire   +2 more sources

Attention mechanism combined with residual recurrent neural network for sound event detection and localization

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, Lei Zhang, Yuanyuan Zhang, Lirong Fu, Chao Sun, Yulan Han, Meng Zhang   +6 more
doaj   +1 more source

Improved Multi-Model Classification Technique for Sound Event Detection in Urban Environments

Applied Sciences, 2022
Sound event detection (SED) plays an important role in understanding the sounds in different environments. Recent studies on standardized datasets have shown the growing interest of the scientific community in the SED problem, however, these did not pay ...
Muhammad Salman Khan, Mohsin Shah, Asfandyar Khan, Amjad Aldweesh, Mushtaq Ali, Elsayed Tag Eldin, Waqar Ishaq, Lal Hussain   +7 more
doaj   +1 more source

Identification of Down-Expressed CRNN Associated with Cancer Progression and Poor Prognosis in Laryngeal Squamous Cell Carcinoma

Frontiers in Bioscience-Landmark
Background: 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

Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an s-shaped riser

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, Somtochukwu Godfrey Nnabuife, Shuang Sun, James F. Whidborne, Zeeshan A. Rana   +4 more
doaj   +1 more source