Abstract: Sintering represents a critical link in the steel production process, with the produced sinter ore serving as the core raw material for blast furnace ironmaking. Characterized by harsh ...
Abstract: The popularization of AI technology, yes the emerging technology represented by deep learning and neural network has gradually become an important tool for solving complex problems.
Abstract: Multiview point cloud registration plays a crucial role in robotics, automation, and computer vision fields. This letter concentrates on pose graph construction and motion synchronization ...
Abstract: Point cloud is a popular and widely used geometric representation, which has attracted significant attention in 3D vision. However, the geometric variability of point cloud representations ...
Abstract: As one of the most crucial topics in the recommendation system field, point-of-interest (POI) recommendation aims to recommending potential interesting POIs to users. Recently, graph neural ...
Abstract: In the past decade, deep neural networks have achieved significant progress in point cloud learning. However, collecting large-scale precisely-annotated point clouds is extremely laborious ...
Abstract: Point clouds have become a widely used data format in computer vision, driven by the increasing availability of 3D scanning devices in applications such as robotics and autonomous driving.
Abstract: Traditional passive point cloud acquisition systems, such as lidars or stereo cameras, can be impractical in real-life and industrial use cases. Firstly, some extreme environments may ...
Abstract: The proposed research develops a unique solar power Maximum Power Point Tracking (MPPT) system which implements Deep Learning approaches within a connected grid power system. Artificial ...