Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...
Abstract: Millimeter-wave (mmWave) radar-based pose estimation and activity recognition provide robust, precise tracking of human movement, unaffected by lighting or environmental challenges. However, ...
Abstract: In recent years, the 3D object detection method has undergone rapid evolution, heavily relying on substantial amounts of high-quality labeled data. However, the process of annotating 3D data ...
Abstract: Artificial intelligence (AI) has profoundly changed and will continue to change our lives. AI is being applied in more and more fields and scenarios such as autonomous driving, medical care, ...
Abstract: This article provides an introduction to the theory of mechanism design and its application to engineering problems. Our aim is to provide the fundamental principles of mechanism design for ...
Abstract: 3D point cloud registration is a fundamental problem in computer vision and robotics. Recently, learning-based point cloud registration methods have made great progress. However, these ...
Abstract: The curve skeleton is known to geometric modeling and computer graphics communities as one of the shape descriptors which intuitively indicates the topological properties of the objects. In ...
Abstract: We propose Next Bit Prediction (NBP), a unified framework that simultaneously addresses lossless compression and lossy reconstruction of 3D point cloud geometry through a next-bit ...
Abstract: Fault diagnosis of railway assets has drawn the interest of both the scholarly and engineering communities. Federated learning (FL) enables training models across distributed assets to ...
Willis, a WTW business, has launched an eight-point "digital infrastructure" framework that treats data centres as a systemic insurance class. Announcing the move on Jan. 28, Willis said it is ...
Point clouds often suffer from geometric and color noise, as well as compression artifacts, during their production, storage, and transmission. Therefore, accurately and automatically evaluating the ...
Abstract: This study proposes a novel spray drift analysis method, based on 3D deep learning, managing and reducing spray drift using a mobile LiDAR method. LiDAR point clouds were trained to classify ...
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