This paper provides an overview and analysis of the basic theory of deep learning (DL), and
specifically, a number of important algorithms were compared and analyzed. The article …

Efficient management and accurate monitoring are crucial for the sustainable development
of the aquaculture industry. Traditionally, monitoring methods have relied on single-modality …

In the lumber and wood processing industry, most visual quality inspections are still done by
trained human operators. Visual inspection is a tedious and repetitive task that involves a …

The artificial extraction of features from wood images via a conventional method is complex.
Therefore, we proposed a learning method to detect wood features and automatically …

Defect detection on solid wood surface has two main problems:(1) the real-time performance
of the available methods are poor despite good detection accuracy, and (2) the defect …

Visual surface defect inspection for metal part has become a rapidly developing research
field within the last decade. But due to the variances of defect shapes and scales, the …

Prediction of Surface Sea Temperature (SST) is of great importance in seasonal forecasts in
the region and beyond, mainly due to its significant role in global atmospheric circulation. On …

Emotion recognition based on electroencephalogram (EEG) signals is crucial in
understanding human affective states. Current research has limitations in extracting local …

A classification algorithm based on LBP and local binary differential excitation pattern is
presented for the classification of the crack and the linear mineral line on the surface of the …

Wood processing is one of the most widely used in agriculture and industry. Low precision
and high time delay of machine learning in wood defect detection are currently the main …