All Outputs (4)

Recursive autoencoder network for prediction of CAD model parameters from STEP files (2024)
Presentation / Conference Contribution
Miles, V., Giani, S., Vogt, O., & Kafieh, R. (2024). Recursive autoencoder network for prediction of CAD model parameters from STEP files. Procedia Computer Science, 232, 3239-3246. https://doi.org/10.1016/j.procs.2024.02.139

Databases of 3D CAD (computer aided design) models are often large and lacking in meaningful organisation. Effective tools for automatically searching for, categorising and comparing CAD models, therefore, have many potential appli... Read More about Recursive autoencoder network for prediction of CAD model parameters from STEP files.

Approaching STEP file analysis as a language processing task: A robust and scale-invariant solution for machining feature recognition (2023)
Journal Article
Miles, V., Giani, S., & Vogt, O. (2023). Approaching STEP file analysis as a language processing task: A robust and scale-invariant solution for machining feature recognition. Journal of Computational and Applied Mathematics, 427, Article 115166. https://doi.org/10.1016/j.cam.2023.115166

Machining feature recognition is a key task in the intelligent analysis of 3D CAD models as it represents a bridge between a part design and the manufacturing processes required for manufacture and can, therefore, increase automation in the manufactu... Read More about Approaching STEP file analysis as a language processing task: A robust and scale-invariant solution for machining feature recognition.

Camera-Based System for the Automatic Detection of Vehicle Axle Count and Speed Using Convolutional Neural Networks (2022)
Journal Article
Miles, V., Gurr, F., & Giani, S. (2022). Camera-Based System for the Automatic Detection of Vehicle Axle Count and Speed Using Convolutional Neural Networks. International Journal of Intelligent Transportation Systems Research, 20(3), 778-792. https://doi.org/10.1007/s13177-022-00325-1

This paper outlines the development of a nonintrusive alternative to current intelligent transportation systems using road-side video cameras. The use of video to determine the axle count and speed of vehicles traveling on major roads was investigate... Read More about Camera-Based System for the Automatic Detection of Vehicle Axle Count and Speed Using Convolutional Neural Networks.

Recursive Encoder Network for the Automatic Analysis of STEP Files (2022)
Journal Article
Miles, V., Giani, S., & Vogt, O. (2023). Recursive Encoder Network for the Automatic Analysis of STEP Files. Journal of Intelligent Manufacturing, 34(1), 181-196. https://doi.org/10.1007/s10845-022-01998-x

Automated tools which can understand and interface with CAD (computer-aided design) models are of significant research interest due to the potential for improving efficiency in manufacturing processes. At present, most research into the use of artifi... Read More about Recursive Encoder Network for the Automatic Analysis of STEP Files.