AIMC Topic: Neural Networks, Computer

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Quantitative Diagnosis of TCM Syndrome Types Based on Adaptive Resonant Neural Network.

Computational intelligence and neuroscience
Artificial intelligence has become one of the most rapidly developing disciplines in the application field of pattern recognition. In target recognition, sometimes, there are multiple identical or similar copies of the target to be recognized in the ...

Application of Recurrent Neural Network Algorithm in Intelligent Detection of Clinical Ultrasound Images of Human Lungs.

Computational intelligence and neuroscience
Lung ultrasound has great application value in the differential diagnosis of pulmonary exudative lesions. It has good sensitivity and specificity for the diagnosis of various pulmonary diseases in neonates and children. It is believed that it can rep...

A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection.

Computational intelligence and neuroscience
Cancer has been found as a heterogeneous disease with various subtypes and aims to destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis the distinct type of cancer since they may help cancer survivors with tr...

A Prediction Model of Human Resources Recruitment Demand Based on Convolutional Collaborative BP Neural Network.

Computational intelligence and neuroscience
This paper presents an in-depth study and analysis of the prediction model of force resource recruitment demand using a convolutional neural network combined with a BP neural network algorithm. BP neural network technology is introduced to be applied...

A Computational Intelligence Model for Legal Prediction and Decision Support.

Computational intelligence and neuroscience
Legal judgment prediction (LJP) and decision support aim to enable machines to predict the verdict of legal cases after reading the description of facts, which is an application of artificial intelligence in the legal field. This paper proposes a leg...

An Intelligent Fault Diagnosis Based on Adversarial Generating Module and Semi-supervised Convolutional Neural Network.

Computational intelligence and neuroscience
Aiming at the existing problems in machinery monitoring data such as high cost of labeling and lack of typical failure samples, this paper launches a research on the semi-supervised-style intelligent fault diagnosis. Taking a great mount of unlabeled...

5G Traffic Prediction Based on Deep Learning.

Computational intelligence and neuroscience
The demand of wireless access users is increasing explosively. The 5G network traffic is increasing exponentially and showing a trend of diversity and heterogeneity, which makes network traffic forecasting face many challenges. By studying the actual...

Artificial Neural Network Model for Indoor Decoration Intelligence Calculation and Automation Design.

Computational intelligence and neuroscience
With the continuous development of science and technology, the indoor decoration industry has gradually changed toward mechanization, specialization, and intelligent direction. Based on the predecessor research, this study proposes an artificial neur...

Genomics enters the deep learning era.

PeerJ
The tremendous amount of biological sequence data available, combined with the recent methodological breakthrough in deep learning in domains such as computer vision or natural language processing, is leading today to the transformation of bioinforma...

A study on a vehicle semi-active suspension control system based on road elevation identification.

PloS one
A semi-active suspension system can effectively improve vehicle ride comfort and handling stability, and the active detection of road information is key to achieving semi-active suspension. To improve the road elevation perception ability of vehicles...