This week's Java roundup for November 3rd, 2025, features news highlighting: a new Jakarta AI specification; the fourteenth ...
Abstract: The limitations of existing synthetic aperture radar (SAR) automatic target recognition methods lie in their confinement by the closed-environment assumption, hindering their effective and ...
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: Early prediction of aging trajectories of lithium-ion (Li-ion) batteries is critical for cycle life testing, quality control, and battery health management. Although data-driven machine ...
Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...
Microsoft introduced a new video series that teaches Java developers how to build generative AI applications using modern ...
Abstract: A large number of objects with various scales and categories in autonomous driving scenes pose a great challenge to LiDAR semantic segmentation. Voxel-based 3D convolutional networks have ...
Abstract: Since point clouds acquired by scanners inevitably contain noise, recovering a clean version from a noisy point cloud is essential for further 3D geometry processing applications. Several ...
Abstract: Point cloud segmentation is fundamental in understanding 3D environments. However, current 3D point cloud segmentation methods usually perform poorly on scene boundaries, which degenerates ...
Abstract: Rapid progress in 3D semantic segmentation is inseparable from the advances of deep network models, which highly rely on large-scale annotated data for training. To address the high cost and ...
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