An image quality matrix provides a significant principle for objectively observing an image
based on an alteration between the original and distorted images. During the past two …

The sustainable functioning of the transport system requires solving the problems of
identifying and classifying road users in order to predict the likelihood of accidents and …

This paper presents a novel framework for classifying ongoing conditions in centrifugal
pumps based on signal processing and deep learning techniques. First, vibration signals …

The growing demand for high-quality print output in the digital printing era underscores the
importance of refining detection algorithms essential for print quality assessment systems …

This paper proposes a new fault diagnosis method for centrifugal pumps by combining
signal processing with deep learning techniques. Centrifugal pumps facilitate fluid transport …

The article discusses the problem of detecting sick or mechanically damaged potatoes using
machine learning methods. We proposed an algorithm and developed a system for the rapid …

The impact of aluminium nitride (AlN) Spacer, Gallium Nitride (GaN) Cap Layer, Front Pi
Gate (FG) and Back Pi Gate (BG), Dual Floating material High K dielectric material such as …

Semantic segmentation of remote sensing images (RSI) is an important research direction in
remote sensing technology. This paper proposes a multi-feature fusion and channel …

The traditional speeded-up robust features (SURF) algorithm has certain stability in scale,
rotation, illumination and other changes. However, this algorithm has problems such as …

Aiming at the problem that the liquor picking in traditional brewing technology of Chinese
liquor is closely dependent on manual operation, and the existing alcohol content …