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 ...
Caatinga is one of the largest and most important seasonally dry phytophysiognomies in the neotropical region, with high species diversity and endemism. Asteraceae is constantly neglected in floristic ...
Abstract: The role of unmanned aerial vehicle (UAV) technologies in the Internet of Things (IoT) data collection is attracting tremendous attention due to its operational flexibility. To guarantee ...
Abstract: The irregularity and permutation invariance of point cloud data pose challenges for effective learning. Conventional methods for addressing this issue involve converting raw point clouds to ...
Abstract: Sintering process is a critical step in the ironmaking process. Burn-through point (BTP), as a key performance index of sintering ore, has a great influence on the quality of the sintering ...
Abstract: This study explores the edges, implementation processes, and commercialization standards for framework-agnostic JavaScript element libraries, concentrating on their role in making ...
Abstract: Recently, point cloud data has attracted increasing attention in various machine vision tasks like classification and detection. However, directly transmitting the raw point cloud for such ...
Abstract: Efficiency is crucial for primitive segmentation in industrial applications. Previous state-of-the-art (SOTA) methods suffer from low efficiency due to reliance on time-consuming feature ...
With the NFL playoffs getting ready to begin this coming weekend, football cards are at the center of the hobby. Similarly, the hobby release calendar for the NFL continues to roll onward, and the ...
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