Data-intelligent algorithms designed for forecasting significant height of coastal waves over
the relatively short time period in coastal zones can generate crucial information about …

Multichannel information processing from a diverse range of channel information is highly
time-and space-complex owing to the variety and enormity of underlying data. Most of the …

The multilevel thresholding problem is often treated as a problem of optimization of an
objective function. This paper presents both adaptation and comparison of six meta-heuristic …

In this paper, a multilevel thresholding method which allows the determination of the
appropriate number of thresholds as well as the adequate threshold values is proposed …

Duplication of image regions is a common method for manipulating original images, using
typical software like Adobe Photoshop, 3DS MAX, etc. In this study, we propose a …

For the image segmentation by the histogram bilevel thresholding, several methods have
been proposed. However, they are computationally time consuming and their effectiveness …

In this paper, we propose an interactive color natural image segmentation method. The
method integrates color feature with multiscale nonlinear structure tensor texture (MSNST) …

In the textile industry, different types of foreign fibers may be mixed in cotton that need to be
sorted out to ensure the quality of the final cotton textile products. Automated visual …

Fecal trait examinations are critical in the clinical diagnosis of digestive diseases, and they
can effectively reveal various aspects regarding the health of the digestive system. An …

The short-term wave height forecast is of great significance to the development and
utilization of energy. To improve the accuracy of short-term wave height prediction, we …