[HTML][HTML] Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
The recent development in the areas of deep learning and deep convolutional neural
networks has significantly progressed and advanced the field of computer vision (CV) and …
networks has significantly progressed and advanced the field of computer vision (CV) and …
Deep learning for symbols detection and classification in engineering drawings
Engineering drawings are commonly used in different industries such as Oil and Gas,
construction, and other types of engineering. Digitising these drawings is becoming …
construction, and other types of engineering. Digitising these drawings is becoming …
New trends on digitisation of complex engineering drawings
Engineering drawings are commonly used across different industries such as oil and gas,
mechanical engineering and others. Digitising these drawings is becoming increasingly …
mechanical engineering and others. Digitising these drawings is becoming increasingly …
Deep learning-based text detection and recognition on architectural floor plans
An important aspect of automatic floor plan analysis is the extraction of textual information,
as it is essential for a thorough understanding of the drawing. This paper presents a text …
as it is essential for a thorough understanding of the drawing. This paper presents a text …
A Symbol Recognition System for Single-Line Diagrams Developed Using a Deep-Learning Approach
Featured Application The present study is among the first research efforts to generate
augmented datasets of complex single-line diagrams to detect symbols using deep-learning …
augmented datasets of complex single-line diagrams to detect symbols using deep-learning …
Integrating 2D and 3D digital plant information towards automatic generation of digital twins
Ongoing standardization in Industry 4.0 supports tool vendor neutral representations of
Pi** and Instrumentation diagrams as well as 3D pipe routing. However, a complete …
Pi** and Instrumentation diagrams as well as 3D pipe routing. However, a complete …
Symbols classification in engineering drawings
Technical drawings are commonly used across different industries such as Oil and Gas,
construction, mechanical and other types of engineering. In recent years, the digitization of …
construction, mechanical and other types of engineering. In recent years, the digitization of …
Reducing human effort in engineering drawing validation
Oil & Gas facilities are extremely huge and have complex industrial structures that are
documented using thousands of printed sheets. During the last years, it has been a …
documented using thousands of printed sheets. During the last years, it has been a …
Digitisation of assets from the oil & gas industry: challenges and opportunities
Automated processing and analysis of legacies of printed documents across the Oil & Gas
industry provide a unique opportunity and at the same time pose a significant challenge …
industry provide a unique opportunity and at the same time pose a significant challenge …
Optical character recognition on engineering drawings to achieve automation in production quality control
Introduction: Digitization is a crucial step towards achieving automation in production quality
control for mechanical products. Engineering drawings are essential carriers of information …
control for mechanical products. Engineering drawings are essential carriers of information …