AI Medical Compendium Journal:
Mathematical biosciences and engineering : MBE

Showing 101 to 110 of 288 articles

Image classification of Chinese medicinal flowers based on convolutional neural network.

Mathematical biosciences and engineering : MBE
BACKGROUND AND OBJECTIVE: Traditional Chinese medicine has used many herbs on the prevention and treatment of diseases for thousands of years. However, many flowers are poisonous and only few herbs have medicinal properties. Relying on experts for he...

Research on motion recognition based on multi-dimensional sensing data and deep learning algorithms.

Mathematical biosciences and engineering : MBE
Motion recognition provides movement information for people with physical dysfunction, the elderly and motion-sensing games production, and is important for accurate recognition of human motion. We employed three classical machine learning algorithms...

Dose-effect relationship analysis of TCM based on deep Boltzmann machine and partial least squares.

Mathematical biosciences and engineering : MBE
A dose-effect relationship analysis of traditional Chinese Medicine (TCM) is crucial to the modernization of TCM. However, due to the complex and nonlinear nature of TCM data, such as multicollinearity, it can be challenging to conduct a dose-effect ...

A non-linear SVR-based cascade model for improving prediction accuracy of biomedical data analysis.

Mathematical biosciences and engineering : MBE
Biomedical data analysis is essential in current diagnosis, treatment, and patient condition monitoring. The large volumes of data that characterize this area require simple but accurate and fast methods of intellectual analysis to improve the level ...

Bone age assessment from articular surface and epiphysis using deep neural networks.

Mathematical biosciences and engineering : MBE
Bone age assessment is of great significance to genetic diagnosis and endocrine diseases. Traditional bone age diagnosis mainly relies on experienced radiologists to examine the regions of interest in hand radiography, but it is time-consuming and ma...

Survey of semi-tensor product method in robustness analysis on finite systems.

Mathematical biosciences and engineering : MBE
Recently, the theory of semi-tensor product (STP) method of matrices has received much attention from variety communities covering engineering, economics and industries, etc. This paper describes a detailed survey on some recent applications of the S...

Artificial intelligence in acupuncture: A bibliometric study.

Mathematical biosciences and engineering : MBE
This study aimed to provide a panorama of artificial intelligence (AI) in acupuncture by characterizing and visualizing the knowledge structure, hotspots and trends in global scientific publications. Publications were extracted from the Web of Scienc...

Food safety in health: a model of extraction for food contaminants.

Mathematical biosciences and engineering : MBE
Contaminants are the critical targets of food safety supervision and risk assessment. In existing research, food safety knowledge graphs are used to improve the efficiency of supervision since they supply the relationship between contaminants and foo...

Leveraging ResNet and label distribution in advanced intelligent systems for facial expression recognition.

Mathematical biosciences and engineering : MBE
With the development of AI (Artificial Intelligence), facial expression recognition (FER) is a hot topic in computer vision tasks. Many existing works employ a single label for FER. Therefore, the label distribution problem has not been considered fo...

CT medical image segmentation algorithm based on deep learning technology.

Mathematical biosciences and engineering : MBE
For the problems of blurred edges, uneven background distribution, and many noise interferences in medical image segmentation, we proposed a medical image segmentation algorithm based on deep neural network technology, which adopts a similar U-Net ba...