Results 121 to 130 of about 5,483,449 (298)

Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety

Foods
This review explores the application of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in food safety detection and risk prediction. This paper highlights the advantages of CNNs in image processing and feature recognition, as well as the powerful capabilities of RNNs (especially their variant LSTM) in time series data ...
Haohan Ding, Haoke Hou, Long Wang, Xiaohui Cui, Wei Yu, David I. Wilson   +5 more
openaire   +4 more sources

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Research on a Bearing Fault Diagnosis Method Based on a CNN-LSTM-GRU Model

Machines
In view of the problem of the insufficient performance of deep learning models in time series prediction and poor comprehensive space–time feature extraction, this paper proposes a diagnostic method (CNN-LSTM-GRU) that integrates convolutional neural ...
Kaixu Han, Wenhao Wang, Jun Guo
doaj   +1 more source

GCRNN: graph convolutional recurrent neural network for compound-protein interaction prediction. [PDF]

BMC Bioinformatics, 2022
Elbasani E, Njimbouom SN, Oh TJ, Kim EH, Lee H, Kim JD.   +5 more
europepmc   +1 more source

Low Frequency Ultrasonic Voice Activity Detection using Convolutional Neural Networks [PDF]

Low frequency ultrasonic mouth state detection uses reflected audio chirps from the face in the region of the mouth to determine lip state, whether open, closed or partially open.
Song, Yan, McLoughlin, Ian Vince
core  

Parallel thinning by a recurrent neural network [PDF]

, 2009
[[abstract]]A 3-layer recurrent neural network is proposed for parallel thinning. This network iteratively removes the contour points of an object shape by template matching. After the neural network converges, a perfectly 8-connected skeleton is derived.
R. Y. Wu;W. H. Tsai
core  

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Multiprocessing neural network simulator

, 2013
Over the last few years tremendous progress has been made in neuroscience by employing simulation tools for investigating neural network behaviour.
Kulakov, Anton
core   +1 more source

Neural network device for recognizing speech commands based on hardware accelerators of the NEUROMATRIX family

Безопасность информационных технологий
Various approaches to solving the problem of speech command recognition in real time using artificial neural networks (ANN) of several types are considered.
Vladislav V. Zholondkovskiy, Yuri I. Bocharov, Vladimir A. Butuzov   +2 more
doaj   +1 more source

Convolutional Recurrent Neural Network for Dynamic Functional MRI Analysis and Brain Disease Identification. [PDF]

Front Neurosci, 2022
Lin K, Jie B, Dong P, Ding X, Bian W, Liu M.   +5 more
europepmc   +1 more source