Abstract: Ordered data arises in many areas, e.g., in molec-ular dynamics and other spatial-temporal trajectories. While data points that are close in this order are related, common dimensionality ...
JERSEY CITY, N.J., Oct. 14, 2025 (GLOBE NEWSWIRE) -- AvePoint (Nasdaq: AVPT; SGX: AVP), the global leader in data security, governance and resilience, today announced new multi-SaaS data protection ...
Abstract: Aiming at the problems of low processing efficiency of multi-source heterogeneous data, difficulty of cross-level collaboration and high data security risk in government service platform, a ...
Abstract: Due to operating condition drift, environmental changes, and system oscillations, industrial processes often exhibit nonstationary characteristics that involve both stable long-term trend ...
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: 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.
Abstract: As a crucial representation of 3D data, a point cloud (PC) can accurately capture the geometry, structure, and color information of objects. However, various quality problems arise owing to ...
Abstract: Graphs play an increasingly important role in various big data applications. However, existing graph data structures cannot simultaneously address the performance bottlenecks caused by the ...
Abstract: Approximate membership query (AMQ) data structures can approximately determine whether an element exists in a given dataset. They are widely used in parallel and distributed systems (e.g., ...
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