A researcher, professor and federal policy adviser, he guided students who went on to do groundbreaking work in connecting ...

Abstract: To accurately and efficiently determine the operating state of transformers, based on the driving point admittance method, a trapezoidal equivalent network model for dual-windings ...

Networks of molecules in our body behave as though they have goals and desires. Understanding this phenomenon could solve the ...

AI models are data-movement limited, so the Salience switch enables all optical networking between compute nodes, removing ...

Abstract: Existing airborne laser scanning (ALS) point cloud semantic segmentation approaches are limited by their overreliances on sufficient point-wise annotations that further confine their ...

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Abstract: Point cloud completion concerns the inference of the completed geometries for real-scanned point clouds that are sparse and incomplete due to occlusion, noise, and viewpoint. Previous ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

There are few certainties in life: death, taxes and massively increased workloads on infrastructures through the unstoppable rise of AI. And enterprises and connectivity providers know only too well ...

Abstract: Intramedullary nailing is frequently utilized in the treatment of femoral shaft fractures. However, an incorrect entry point will result in poor reduction of the shattered bones. Furthermore ...

Abstract: We present CO-Net++, a cohesive framework that optimizes multiple point cloud tasks collectively across heterogeneous dataset domains with a two-stage feature rectification strategy. The ...