In this work, we conducted a visualized bibliometric analysis to map the research trends of
machine learning in engineering (MLE) based on articles indexed in the Web of Science …

Background and objective: Leukocyte classification and cytometry have wide applications in
medical domain, previous researches usually exploit machine learning techniques to …

Numerous factors in current workflows reduce the completeness, accuracy, and reliability of
the information exchanged between Building Information Modelling (BIM) authoring tools …

Abstract Industry Foundation Classes (IFC) is widely accepted as the future of building
information modeling (BIM) to take on the challenge of BIM interoperability and enable its …

Abstract The Industry Foundation Classes (IFC), an open and neutral ISO standard, plays a
key role in enabling interoperability, allowing entity and relationship data to be exchanged …

Abstract 3D shape features play a crucial role in graphics applications, such as 3D shape
matching, recognition, and retrieval. Various 3D shape descriptors have been developed …

Aiming at the low recognition rate of traditional convolutional neural network in facial
expression database, I propose a facial expression recognition method based on VGGNet …

Currently, the content-based retrieval is a problem of major interest in several different fields
and, focusing on mechanical engineering, many approaches exist to compare and retrieve …

Ongoing advancements in the fields of 3D modelling and digital archiving have led to an
outburst in the amount of data stored digitally. Consequently, several retrieval systems have …

The effectiveness of deep learning in completing tasks comprehensively has led to a rapid
increase in its usage. Deep learning encompasses numerous diverse methods, each with its …