A visualized bibliometric analysis of mapping research trends of machine learning in engineering (MLE)
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 …
machine learning in engineering (MLE) based on articles indexed in the Web of Science …
Fine-grained leukocyte classification with deep residual learning for microscopic images
Background and objective: Leukocyte classification and cytometry have wide applications in
medical domain, previous researches usually exploit machine learning techniques to …
medical domain, previous researches usually exploit machine learning techniques to …
New automated BIM object classification method to support BIM interoperability
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 …
information modeling (BIM) to take on the challenge of BIM interoperability and enable its …
Using support vector machines to classify building elements for checking the semantic integrity of building information models
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 …
key role in enabling interoperability, allowing entity and relationship data to be exchanged …
An efficient and effective convolutional auto-encoder extreme learning machine network for 3d feature learning
Y Wang, Z Xie, K Xu, Y Dou, Y Lei - Neurocomputing, 2016 - Elsevier
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 …
matching, recognition, and retrieval. Various 3D shape descriptors have been developed …
Facial expression recognition based on VGGNet convolutional neural network
H Jun, L Shuai, S Jinming, L Yue… - 2018 Chinese …, 2018 - ieeexplore.ieee.org
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 …
expression database, I propose a facial expression recognition method based on VGGNet …
Content-based CAD assembly model retrieval: Survey and future challenges
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 …
and, focusing on mechanical engineering, many approaches exist to compare and retrieve …
'CADSketchNet'-An annotated sketch dataset for 3D CAD model retrieval with deep neural networks
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 …
outburst in the amount of data stored digitally. Consequently, several retrieval systems have …
[HTML][HTML] Choosing the appropriate deep learning method: A systematic review
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 …
increase in its usage. Deep learning encompasses numerous diverse methods, each with its …
Pointwise geometric and semantic learning network on 3D point clouds
The geometric and semantic information of 3D point clouds significantly influence the
analysis of 3D point cloud structures. However, semantic learning of 3D point clouds based …
analysis of 3D point cloud structures. However, semantic learning of 3D point clouds based …