GitHub

Self-supervised learning of hologram reconstruction using physics consistency

Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan, Self-supervised learning of hologram reconstruction using physics consistency. Nat Mach Intell 5, 895–907 (2023). This repository contains codes ...
GitHub

MKDPINN: Meta Learning and Knowledge Discovery-Based Physics-Informed Neural Networks

MKDPINN is a novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Networks (PINNs). This repository contains the code ...
IEEE

PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain

Abstract: Self-supervised learning is a powerful approach for developing traversability models for off-road navigation, but these models often struggle with inputs unseen during training. Existing ...
IEEE

Space Adventure Game-Based Learning: How Games and Scaffolds Affect Eighth Graders' Physics Learning and Game Immersion

Abstract: Game-based learning (GBL) has long been recognized as an effective way to engage students in learning through games, but little emphasis has been placed on scaffolding support for students, ...