SSIP

In the process of detection and diagnosis of sleep apnea, we find multiple complex systems that perform the evaluation of the characteristic parameters of this pathology, such as heart rate monitoring, measurement of breathing rate, the presence of ...

This is an exploration of the recognition technology of pneumonia pictures based on convolutional neural network technology. Among them, the recognition model used is based on the study of hundreds of real X-rays of lung pictures database, which ...

Attention mechanism can focus on important features and suppress unnecessary features, to increase the representational power of the network, which plays an important role in visual tasks such as semantic segmentation. To this end, the UNET of ...

Deep learning-based image restoration techniques have made great progress in recent years, and EdgeConnect network has achieved good results in image restoration. We find that EdgeConnect suffers from a complex training process and poor migratability, ...

This paper explored the application of deep learning target detection methods in the field of X-ray security screening. Faster R-CNN is a fully supervised deep learning method that uses only abnormal images containing dangerous goods as the training set,...

The determination of the type of Sanitary Wares Body (SWB) is the premise for glazing robot to intelligently choose the glazing operation mode. Traditional judgement is to sample SWB by the camera with Charge Coupled Device (CCD), however, it is ...

With the improvement of people's living standards, the demand for poultry has further increased. The screening of cock reproductive performance according to semen quality has become one of the attention directions. It is time-consuming to screen the ...

ICTS are revolutionizing not only the way of communication and interrelation between people, but also between information systems, in such a way that they allow the exchange of information between computer systems, a method will be developed to take ...

The calibration accuracy of the accelerometer, a key device in an inertial navigation system, directly affects the navigation accuracy. In our study, a novel calibration method for a triaxial accelerometer was presented with automatic online ...

The research of infinite dimensional dynamic system arose in the 1980s. With Mandelbrot's fractal theory, the theory of fractional calculus, as the basic tool of fractal theory, has been widely concerned and applied, which makes the theory of fractional ...

The effects of the COVID-19 pandemic have led to certain patterns in the different actions people take. One of the areas in which this pandemic has impacted most strongly is related to educational activities and children were the most affected. They ...

The effect of the oxygen in the environment to the performance of PdNi nano-film hydrogen sensor was studied in this work. Caused by oxygen absorption, the resistance of the sensor drops rapidly before it increases when hydrogen is introduced, and ...

Vibration signal analysis is one of the most effective and convenient method for fault diagnosis in rolling bearing. A challenging problem is how to extract the fault features from the noisy signal accurately. In this paper, a novel sparse ...

One of the effects of the COVID-19 pandemic is the adaptation of most of the activities remotely or virtually, in the case of medical appointments, in the different specialties other than emergencies produced by COVID-19. Most of them continued in the ...