Nanostructures have attracted huge interest as a rapidly growing class of materials for many
applications. Several techniques have been used to characterize the size, crystal structure …

Facial emotion recognition (FER) is an important topic in the fields of computer vision and
artificial intelligence owing to its significant academic and commercial potential. Although …

Increased request for metal and metal oxide nanoparticles nanoparticles has led to their
large-scale production using high-energy methods with various toxic solvents. This cause …

Since it was first demonstrated in 1987, magnetic force microscopy (MFM) has become a
truly widespread and commonly used characterization technique that has been applied to a …

Online education has developed rapidly due to its irreplaceable convenience. Under the
severe circumstances caused by COVID‐19 recently, many schools around the world have …

Natural biopolymers, a class of materials extracted from renewable sources, is garnering
interest due to growing concerns over environmental safety; biopolymers have the …

Different subjects may express a specific expression in different ways due to inter-subject
variabilities. In this work, besides training deep-learned facial expression feature (emotional …

Automatic machine-based Facial Expression Analysis (FEA) has made substantial progress
in the past few decades driven by its importance for applications in psychology, security …

In this article, we propose a parallel hierarchy convolutional neural network (PHCNN)
combining a Long Short-Term Memory (LSTM) network structure to quantitatively assess the …

The proposed framework in this paper has the primary objective of classifying the facial
expression shown by a person. These classifiable expressions can be any one of the six …