deep-learning

Truveta Mapper: A Zero-shot Ontology Alignment Framework

In this paper, a new perspective is suggested for unsupervised Ontology Matching (OM) or Ontology Alignment (OA) by treating it as a translation task. Ontologies are represented as graphs, and the translation is performed from a node in the source …

Application of Machine Learning in Automotive Stud Weld Defect Classification

Arc stud welding is a well-developed and automated manufacturing process commonly used to fasten studs to a workpiece. This process requires implementation of measures to prevent low-quality welds that can lead to disposal of an entire structure. In …

Defect detection and classification in welding using deep learning and digital radiography

Chapter 9 - from book "*Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems*" - Continuous and digitized monitoring and automated inspection are key parts of modern manufacturing and sustainment of aging infrastructure. The growing demand ...

An Efficient and Scalable Deep Learning Approach for Road Damage Detection

Pavement condition evaluation is essential to time the preventative or rehabilitative actions and control distress propagation. Failing to conduct timely evaluations can lead to severe structural and financial loss of the infrastructure and complete …

Coral Image Segmentation

a deep learning project for coral segmentation