Partitioning 3D point clouds using an irregular grid simplifies tree segmentation in digital forests
The expanding availability of high-resolution 3D point clouds from lidar and photogrammetry has fostered interest in digital twin forests ...
Can a small lump of metal be in a quantum state that extends over distant locations? A research team at the University of Vienna answers this question with a resounding yes. In the journal Nature, ...
Abstract: The performance of grid partitioning methods has a significant impact on the results of distributed state estimation (DSE). Most existing grid partitioning methods struggle to balance node ...
A systematic review of Long COVID identifies symptom clusters, highlighting fatigue and proposing a management framework for personalized treatment strategies.
Five-axis machining is one of the cornerstones of modern industry, supporting the production of aerospace engines, automotive dies, energy components, and biomedical implants. Despite its wide ...
Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...
Abstract: A large-scale microgrid cluster (MGC) using centralized energy management faces computational and data processing burdens, making it rather hard to obtain real-time optimal energy dispatch ...
This project provides a novel solution for distributed partitioning in Spring Batch, enabling scalable and fault-tolerant execution of batch jobs across multiple JVM instances (nodes). Unlike ...
Keysight Technologies has launched Keysight AI (KAI) Data Centre Builder, a software suite designed to emulate real-world workloads to evaluate how new algorithms, components and protocols impact the ...
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