A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...
Abstract: Environmental planning, hazard monitoring, and coastal management depend critically on accurate shoreline definition. This work utilizes high-resolution UAV data to develop a deep learning ...
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 ...
Abstract: This brief presents a framework that delivers a certification-oriented dashboard of admissible nonlinear model predictive control (NMPC) implementation settings. This differs from the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results