Abstract: In this work, we propose a novel segmentation-based explainable artificial intelligence (XAI) method for neural networks working on point cloud classification. As one building block of this ...
Abstract: This paper presents an efficient approach for determining the joint configuration of a multifingered gripper solely from the point cloud data of its poly-articulated chain, as generated by ...
Learn how cosine similarity works and how to use it in data science, machine learning, and NLP tasks. Practical examples included. #CosineSimilarity #DataScience #MachineLearning Arnold Schwarzenegger ...
Abstract: We propose a single-station transfer function method using six-component (6-C) seismometer data. Conventional single-station methods assume monochromatic waves and rely on narrow-bandpass ...
RIDOT’s new weight monitoring system, described as a “heart monitor for a bridge,” is providing real-time data showing the Washington Bridge remains stable as it carries traffic in both directions.
Abstract: Due to operating condition drift, environmental changes, and system oscillations, industrial processes often exhibit nonstationary characteristics that involve both stable long-term trend ...
Tech firms are investing billions to build massive AI data centers across the U.S. From our morning news briefing to a weekly Good News Newsletter, get the best of The Week delivered directly to your ...
Abstract: This standard defines Structure of Management Information version 2 (SMIv2) MIB module specifications for IEEE Std 802.3 Ethernet and associated managed object branch and leaf assignments ...
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 ...
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