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: 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 ...
Spot-Compose presents a comprehensive framework for integration of modern machine perception techniques with Spot, showing experiments with object grasping and dynamic drawer manipulation.
Abstract: This study explores the edges, implementation processes, and commercialization standards for framework-agnostic JavaScript element libraries, concentrating on their role in making ...
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