Facial emotion recognition (FER) is an emerging and significant research area in the pattern
recognition domain. In daily life, the role of non-verbal communication is significant, and in …

Corrosion presents significant challenges in the marine, offshore, and oil and gas industries,
resulting in annual economic losses amounting to billions of dollars. To address these …

The objective of this paper is to develop an approach to forecast the outdoor atmospheric
corrosion rate of low alloy steels and do corrosion-knowledge mining by using a Random …

The paper proposes a new deep structure model, called Densely Connected Cascade
Forest-Weighted K Nearest Neighbors (DCCF-WKNNs), to implement the corrosion data …

Improving the accuracy of coating lifetime prediction on small sample data has been an
urgent issue to be addressed. In this paper, based on in-situ electrochemical impedance …

Facial expression is a powerful way for human emotional communications. According to
various applications, automatic facial expression recognition becomes an interesting …

Limited data is a challenging problem to train Convolutional Neural Networks. On the other
hand, acquiring a database in a demanded scale is not a straightforward task. In this paper …

Facial expression recognition plays an important role in communicating the emotions and
intentions of human beings. Facial expression recognition in uncontrolled environment is …

Emotions have a great significance in human-to-human and in human-to-computer
communication and interaction. In this paper, an effective and novel approach to recognize …

To address the problem that the features extracted by CNN‐based facial expression
recognition (FER) do not consider structural information, a region adaptive correlation deep …