Abstract Computer Aided Diagnosis (CAD) is an ever-growing field as it facilitates the
effective diagnosis of diseases at an early stage. This type of diagnosis system includes …

In order to improve face recognition accuracy, an IFC face recognition algorithm based on
image feature compensation strategy for face recognition is proposed in this paper. The …

Combustible gas is widely used in industry and daily life but presents an unavoidable
explosion hazard. Predicting explosion overpressure and guiding engineering design is an …

Face recognition systems have been widely applied in various scenarios in people's daily
lives. The recognition rate and speed of face recognition systems have always been the two …

Due to the diverse and volatile nature of today's network attacks, it is difficult to achieve
satisfactory results using a single detection method. This project plans to study the network …

A DNN‐based cost prediction method is proposed for the difficult problem of cost calculation
in engineering cost accounting, combined with deep neural networks. Firstly, we introduce …

Network security has evolved into a major issue that necessitates careful consideration in
the present digital world. Intrusion Detection Systems (IDS) are critical in detecting and …

During recent years, the deep Q-Learning is used to solve different complex problems in
different fields. However, Deep Q-Learning does not have a unified method for solving …