AI Medical Compendium Journal:
Mathematical biosciences and engineering : MBE

Showing 131 to 140 of 288 articles

Construction and application of Chinese breast cancer knowledge graph based on multi-source heterogeneous data.

Mathematical biosciences and engineering : MBE
The knowledge graph is a critical resource for medical intelligence. The general medical knowledge graph tries to include all diseases and contains much medical knowledge. However, it is challenging to review all the triples manually. Therefore the q...

Dual-process system based on mixed semantic fusion for Chinese medical knowledge-based question answering.

Mathematical biosciences and engineering : MBE
Chinese medical knowledge-based question answering (cMed-KBQA) is a vital component of the intelligence question-answering assignment. Its purpose is to enable the model to comprehend questions and then deduce the proper answer from the knowledge bas...

IDEFE algorithm: IDE algorithm optimizes the fuzzy entropy for the gland segmentation.

Mathematical biosciences and engineering : MBE
Breast cancer occurs in the epithelial tissue of the gland, so the accuracy of gland segmentation is crucial to the physician's diagnosis. An innovative technique for breast mammography image gland segmentation is put forth in this paper. In the firs...

Bearing fault diagnosis based on Gramian angular field and DenseNet.

Mathematical biosciences and engineering : MBE
Rolling bearings are the core components of mechanical and electrical systems. A practical fault diagnosis scheme is the key to ensure operational safety. There are excessive characteristic parameters with remarkable randomness and severe signal coup...

Abdomen tissues segmentation from computed tomography images using deep learning and level set methods.

Mathematical biosciences and engineering : MBE
Accurate abdomen tissues segmentation is one of the crucial tasks in radiation therapy planning of related diseases. However, abdomen tissues segmentation (liver, kidney) is difficult because the low contrast between abdomen tissues and their surroun...

Distributed nonsynchronous event-triggered state estimation of genetic regulatory networks with hidden Markovian jumping parameters.

Mathematical biosciences and engineering : MBE
In this paper, the distributed state estimation problem of genetic regulatory networks (GRNs) with hidden Markovian jumping parameters (HMJPs) is explored. Furthermore, in order to improve the communication efficiency among state estimation sensors, ...

Research on lip recognition algorithm based on MobileNet + attention-GRU.

Mathematical biosciences and engineering : MBE
With the development of deep learning and artificial intelligence, the application of lip recognition is in high demand in computer vision and human-machine interaction. Especially, utilizing automatic lip recognition technology to improve performanc...

Multi-model fusion short-term power load forecasting based on improved WOA optimization.

Mathematical biosciences and engineering : MBE
The high accuracy of short-term power load forecasting has a pivotal role in helping power companies to construct reasonable production scheduling plans and avoid resource waste. In this paper, a multi-model short-term power load prediction method ba...

Physics-informed neural networks based on adaptive weighted loss functions for Hamilton-Jacobi equations.

Mathematical biosciences and engineering : MBE
Physics-informed neural networks (PINN) have lately become a research hotspot in the interdisciplinary field of machine learning and computational mathematics thanks to the flexibility in tackling forward and inverse problems. In this work, we explor...