Abstract: Point cloud processing is fundamental to applications such as autonomous driving, robotic navigation, and 3D reconstruction. Sampling is a crucial process in point cloud processing, but ...

Abstract: Thai Text Generation (TTG) involves the use of advanced algorithms and technologies to automate the creation of Thai text, grounded in Natural Language Processing (NLP) principles. This ...

Abstract: Point clouds can capture the precise geometric information of objects and scenes, which are an important source of 3-D data and one of the most popular 3-D geometric data structures for ...

Abstract: Flash point (FP) critically determines the fire safety of transformer oils, yet ester-based oils, the sustainable alternative to mineral oils, face a critical trade-off between FP ...

Abstract: Domain adaptive LiDAR point cloud segmentation aims to develop an effective target segmentation model using labeled source data and unlabeled target data. Existing domain adaptation methods ...

Abstract: Existing point cloud completion methods rely on extracting latent codes from a partial point cloud to reconstruct a complete structure. However, the complexity of the partial point clouds, ...

Abstract: In recent years, there has been a rapid growth in applications that rely on point clouds to represent the 3D world, driven by the increasing demand for immersive and other related scenarios.

Many Americans are concerned about the health of the labor market, and for good reason. Job growth turned negative during the summer, unemployment-insurance claims have been rising, and there are more ...

Addis Ababa, August 11, 2025 (ENA)— The Ethiopian Statistical Service announced that it is entering a new era of progress, driven by a comprehensive reform aimed at modernizing its organizational ...

Abstract: Multiple change point detection seeks to identify potential shifts in the data properties. While existing detection methods primarily focus on univariate and multivariate data, they often ...