AIMC Topic: Neural Networks, Computer

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Dual-Path Residual "Shrinkage" Network for Side-Scan Sonar Image Classification.

Computational intelligence and neuroscience
The underwater environment is complicated and changeable and contains many noises, making it difficult to detect a particular object in the underwater environment. At present, the main seabed detection technology explores the seabed environment with ...

Research on the Evaluation Method of Enterprises' Independent Innovation Ability Based on Improved BP Neural Network and DQN Algorithm.

Computational intelligence and neuroscience
The development of enterprises has a very important influence on promoting national economic growth and improving comprehensive economic strength. This work evaluates the independent innovation ability of enterprises, analyzes the characteristics and...

Detection of Benign and Malignant Tumors in Skin Empowered with Transfer Learning.

Computational intelligence and neuroscience
Skin cancer is a major type of cancer with rapidly increasing victims all over the world. It is very much important to detect skin cancer in the early stages. Computer-developed diagnosis systems helped the physicians to diagnose disease, which allow...

Image Recognition and Extraction of Students' Human Motion Features Based on Graph Neural Network.

Computational intelligence and neuroscience
In order to improve students' overall subhealth behavior, teenagers' physical health problems have attracted more and more attention. The state clearly requires students to increase the number and frequency of exercise in school. In order to study th...

The Application of Automatic Identification System Information and PSO-LSTM Neural Network in CRI Prediction.

Computational intelligence and neuroscience
Considering that collision accidents happen sometimes, it is necessary to predict the collision risk to ensure navigation safety. With the information construction in maritime and the popularity of automatic identification system application, it is m...

Digital Twins Model of Industrial Product Management and Control Based on Lightweight Deep Learning.

Computational intelligence and neuroscience
Digital twins (DTs) can realize the integration of information and entities. It is widely used because of its simulation characteristics and virtual reality (VR) mapping. Its application to industrial product management and control is explored. First...

Research and Forecast Analysis of Financial Stability for Policy Uncertainty.

Computational intelligence and neuroscience
The instability of financial market will have a great impact on money, bonds, and stocks and affect the economic development of society and people's lives. Therefore, it is very necessary for us to study and predict the financial stability. According...

Class-Incremental Learning on Video-Based Action Recognition by Distillation of Various Knowledge.

Computational intelligence and neuroscience
Recognition of activities in the video is an important field in computer vision. Many successful works have been done on activity recognition and they achieved acceptable results in recent years. However, their training is completely static, meaning ...

Analysis of Sports Video Intelligent Classification Technology Based on Neural Network Algorithm and Transfer Learning.

Computational intelligence and neuroscience
With the rapid development of information technology, digital content shows an explosive growth trend. Sports video classification is of great significance for digital content archiving in the server. Therefore, the accurate classification of sports ...

An Intelligent Classification Method of Multisource Enterprise Financial Data Based on SAS Model.

Computational intelligence and neuroscience
An enterprise is often faced with a large amount of financial information and data information. It is inefficient to rely solely on manual work, and the accuracy is difficult to guarantee. For the multisource data of corporate finance, it is more dif...