Abstract: Surrogate models for antennas have been extensively adopted in design optimization and uncertainty quantification. However, developing accurate surrogate models often necessitates ...

Background Balanced translocation (BT) carriers have a high risk of recurrent miscarriage and abnormal offspring due to unbalanced gamete production. Clinical genetic testing often fails to detect BTs ...

A novel deep learning framework that combines ImageNet pretraining with uncertainty-aware curriculum learning for robust multi-label chest X-ray classification. The key innovation is an adaptive ...

This study devises an innovative LiDAR point cloud down-sampling strategy that capitalizes on the properties of Fuzzy C Means (FCM) clustering membership functions in each dimension. Traditional ...

Abstract: This paper proposes an adaptive sampling technique for spherical near-field (SNF) antenna measurements that leverages the predictive uncertainty of Gaussian process regression (GPR) to guide ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

Update: A minibus spending package passed by the House of Representatives on January 8, 2026, effectively cancels the Mars Sample Return program by eliminating almost all funding for future missions.

For the low efficiency and poor generalization ability of path planning algorithm of industrial robots, this work proposes an adaptive field co-sampling algorithm (AFCS). Firstly, the environment ...

Generating mechanistic pathways of rare events like ligand unbinding or protein folding is a central challenge in molecular dynamics simulation of complex molecular processes. Here, we present ...