AIMC Topic: Algorithms

Clear Filters Showing 26881 to 26890 of 28713 articles

Intelligent body behavior feature extraction based on convolution neural network in patients with craniocerebral injury.

Mathematical biosciences and engineering : MBE
Patients with craniocerebral injury are in serious condition and inconvenient to take care of. This paper proposes a method of extracting the patient's body behavior feature based on convolution neural network, in order to reduce nursing workload and...

Defect detection in code characters with complex backgrounds based on BBE.

Mathematical biosciences and engineering : MBE
Computer vision technologies have been widely implemented in the defect detection. However, most of the existing detection methods generally require images with high quality, and they can only process code characters on simple backgrounds with high c...

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...

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 ...

Evaluating recommender systems for AI-driven biomedical informatics.

Bioinformatics (Oxford, England)
MOTIVATION: Many researchers with domain expertise are unable to easily apply machine learning (ML) to their bioinformatics data due to a lack of ML and/or coding expertise. Methods that have been proposed thus far to automate ML mostly require progr...

Stock price forecasting based on Hausdorff fractional grey model with convolution and neural network.

Mathematical biosciences and engineering : MBE
Forecast of stock prices can guide investors' investment decisions. Due to the high-dimensional and long-memory characteristics of stock data, it is difficult to predict. The fractional grey model with convolution (FGMC (1, m)) can be used to predict...