Metamaterials—materials whose properties are primarily dictated by their internal microstructure, and not their chemical ...
Despite the prevalence of synthetic materials across different industries and scientific fields, most are developed to serve ...
Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic data suffers from ...
Frontiers Science House announced it will convene over 100 leaders from 16 countries to help shape the global agenda alongside the World Economic Forum Annual Meeting 2026. As scientific breakthroughs ...
ALICE-LRI (Automatic LiDAR Intrinsic Calibration Estimation for Lossless Range Images) is a C++ and Python library for lossless range image generation and reconstruction from spinning 3D LiDAR point ...
Abstract: We propose a novel approach that combines machine learning (ML) and Pareto optimization to simultaneously enhance the program efficiency and disturbance of 3D-NAND flash memory. The ...
Abstract: This paper proposes a novel application of multichannel 3D lidar data for safety in a physical Human-Robot Interaction (pHRI) scenario. To achieve the aforementioned, experiments were ...
What if you could create intricate, professional-grade 3D printable designs without years of sculpting experience or expensive software? It might sound too good to be true, but AI is transforming 3D ...
Objective: We aimed to explore the perspectives of primary care HCPs on managing MLTC and their attitudes toward using AI tools to support clinical decision-making in MLTC care. Methods: In total, 20 ...