AIMC Topic: Neural Networks, Computer

Clear Filters Showing 29521 to 29530 of 31376 articles

A graph-convolutional neural network for addressing small-scale reaction prediction.

Chemical communications (Cambridge, England)
We describe a graph-convolutional neural network (GCN) model, the reaction prediction capabilities of which are as potent as those of the transformer model based on sufficient data, and we adopt the Baeyer-Villiger oxidation reaction to explore their...

Predicting the conformations of the silk protein through deep learning.

The Analyst
As with other proteins, the conformation of the silk protein is critical for determining the mechanical, optical and biological performance of materials. However, an efficient, accurate and time-efficient method for evaluating the protein conformatio...

[Intelligent fault diagnosis of medical equipment based on long short term memory network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
In order to solve the current problems in medical equipment maintenance, this study proposed an intelligent fault diagnosis method for medical equipment based on long short term memory network(LSTM). Firstly, in the case of no circuit drawings and un...

Multi-feature gait recognition with DNN based on sEMG signals.

Mathematical biosciences and engineering : MBE
This study proposed a gait recognition method based on the deep neural network of surface electromyography (sEMG) signals to improve the stability and accuracy of gait recognition using sEMG signals of the lower limbs. First, we determined the parame...

Infusion port level detection for intravenous infusion based on Yolo v3 neural network.

Mathematical biosciences and engineering : MBE
PURPOSE: In order to improve the accuracy of liquid level detection in intravenous left auxiliary vein infusion and reduce the pain of patients with blood returning from intravenous infusion, we propose a deep learning based liquid level detection mo...

A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules.

Soft matter
Microcapsules, consisting of a liquid droplet enclosed by a viscoelastic membrane, have a wide range of biomedical and pharmaceutical applications and also serve as a popular mechanical model for biological cells. In this study, we develop a novel hi...

GraphQA: protein model quality assessment using graph convolutional networks.

Bioinformatics (Oxford, England)
MOTIVATION: Proteins are ubiquitous molecules whose function in biological processes is determined by their 3D structure. Experimental identification of a protein's structure can be time-consuming, prohibitively expensive and not always possible. Alt...

VIDHOP, viral host prediction with deep learning.

Bioinformatics (Oxford, England)
MOTIVATION: Zoonosis, the natural transmission of infections from animals to humans, is a far-reaching global problem. The recent outbreaks of Zikavirus, Ebolavirus and Coronavirus are examples of viral zoonosis, which occur more frequently due to gl...

Pinning control of complex networks with time-varying inner and outer coupling.

Mathematical biosciences and engineering : MBE
This paper addresses the pinning synchronization of nonlinear multiple time-varying coupling complex networks. Time-varying inner coupling in the single node state space and time-varying outer coupling among nodes in an entire complex network are tak...

Research on the influence of attention and emotion of tea drinkers based on artificial neural network.

Mathematical biosciences and engineering : MBE
Tea can help to regulate the mood of human. Based on the influence of tea on people's mood and attention, this study explored the tea concentration when the mood and attention of drinkers are in the best state, and established the best concentration ...