AIMC Topic: Neural Networks, Computer

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Spark plug defects detection based on improved Faster-RCNN algorithm.

Journal of X-ray science and technology
The objective of this study is to apply an improved Faster-RCNN model in order to solve the problems of low detection accuracy and slow detection speed in spark plug defect detection. In detail, an attention module based symmetrical convolutional net...

Assessing performance of artificial neural networks and re-sampling techniques for healthcare datasets.

Health informatics journal
Re-sampling methods to solve class imbalance problems have shown to improve classification accuracy by mitigating the bias introduced by differences in class size. However, it is possible that a model which uses a specific re-sampling technique prior...

Inferring Cell-type-specific Genes of Lung Cancer Based on Deep Learning.

Current gene therapy
BACKGROUND: Lung cancer is cancer with the highest incidence in the world, and there is obvious heterogeneity within its tumor. The emergence of single-cell sequencing technology allows researchers to obtain cell-type-specific expression genes at the...

Method for identifying the impact load condition of thin-walled structure damage based on PSO-BP neural network.

Science progress
Thin-walled structures (TWS) were widely used in engineering equipment, and may be subjected to impact loads to produce different degrees of structural damage during application. However, it is a difficult problem to determine the impact load conditi...

Leukemia classification using the deep learning method of CNN.

Journal of X-ray science and technology
BACKGROUND: Processing Low-Intensity Medical Images (LI-MI) is difficult as outcomes are varied when it comes to manual examination, which is also a time-consuming process.

Small obstacle size prediction based on a GA-BP neural network.

Applied optics
Accurate and effective acquisition of obstacle size parameters is the basis for environment perception, path planning, and autonomous navigation of mobile robots, and is the key to improve the walking performance of mobile robots. In this paper, a ge...

How Artificial Intelligence and Machine Learning Is Assisting Us to Extract Meaning from Data on Bone Mechanics?

Advances in experimental medicine and biology
Dramatic advancements in interdisciplinary research with the fourth paradigm of science, especially the implementation of computer science, nourish the potential for artificial intelligence (AI), machine learning (ML), and artificial neural network (...

HER2-ResNet: A HER2 classification method based on deep residual network.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: HER2 gene expression is one of the main reference indicators for breast cancer detection and treatment, and it is also an important target for tumor targeted therapy drug selection. Therefore, the correct detection and evaluation of HER2 ...

Acne detection and severity evaluation with interpretable convolutional neural network models.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Acne vulgaris is one of the most prevalent skin conditions, which harms not only the patients' physiological conditions, but also their mental health. Early diagnosis and accurate continuous self-monitoring could help control and alleviat...

Learn bifurcations of nonlinear parametric systems via equation-driven neural networks.

Chaos (Woodbury, N.Y.)
Nonlinear parametric systems have been widely used in modeling nonlinear dynamics in science and engineering. Bifurcation analysis of these nonlinear systems on the parameter space is usually used to study the solution structure, such as the number o...