Feature selection and feature extraction have always been of utmost importance owing to
their capability to remove redundant and irrelevant features, reduce the vector space size …

The service stability of industrial robots (IRs) is considered the basis for ensuring intelligent
manufacturing operations. Knowledge-based work plays a central role in the practical …

Image recognition and classification in the domain of cultural heritage is a complex task that
usually requires good image quality and a large dataset. Small dataset is an apparent …

Green roofs, as a passive building energy-saving technology, offer a range of benefits
including reduced energy consumption and mitigation of the urban heat island effect. To …

To study the evolution of specific cultures and times different kinds of pictures could be
adopted. Family album photos may reveal socio-historical insights regarding those specific …

In this paper, we propose Multilayer network-based Visual Interpreter (MuVI), a framework
for visual interpretability of Convolutional Neural Networks (CNNs) based on their mapping …

Due to the effective guidance of prior information, feature map-based pruning methods have
emerged as promising techniques for model compression. In the previous works, the …

In March 2020, the whole world suffered from the coronavirus pandemic. This virus is a sort
of virus that comes in many forms, some of which may kill. It mainly affects the human …

In response to the current problem of significant differences between old and new
equipment in testing electrical parameter data, as well as the lack of a unified parameter …

In historical recto–verso manuscripts, very often the text written on the opposite page of the
folio penetrates through the fiber of the paper, so that the texts on the two sides appear …