Fairness-and uncertainty-aware data generation for data-driven design
The design dataset is the backbone of data-driven design. Ideally, the dataset should be
fairly distributed in both shape and property spaces to efficiently explore the underlying …
fairly distributed in both shape and property spaces to efficiently explore the underlying …
Early Prediction of Human Intention for Human–Robot Collaboration Using Transformer Network
Human intention prediction plays a critical role in human–robot collaboration, as it helps
robots improve efficiency and safety by accurately anticipating human intentions and …
robots improve efficiency and safety by accurately anticipating human intentions and …
Comparative Analysis of Convolutional Neural Network Architectures for Automated Knee Segmentation in Medical Imaging: A Performance Evaluation
Segmentation of anatomical components is a major step in creating accurate and realistic
3D models of the human body, which are used in many clinical applications, including …
3D models of the human body, which are used in many clinical applications, including …
Fairness-and Uncertainty-Aware Data Generation for Data-Driven Design Based on Active Learning
The design dataset is the backbone of data-driven design. Ideally, the dataset should be
fairly distributed in both shape and property spaces to efficiently explore the underlying …
fairly distributed in both shape and property spaces to efficiently explore the underlying …