*.csv; *.zip
This dataset is specifically designed for the recognition and localization of electric vehicle (EV) charging ports using point cloud data, rather than traditional image-based methods. It includes raw point cloud data collected from advanced sensing technologies such as LiDAR or depth cameras, along with detailed experimental records that encompass sensor parameters, pose annotations, and environmental variables.
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148 Views
This paper introduces a novel chip electromagnetic fingerprint (EMF) feature extraction scheme based on the Frequency-domain Constellation Trajectory Figure (FCTF), as well as an EMF recognition method using Convolutional Neural Networks (CNN) for MCU function recognition. The FCTF offers a two-dimensional visualization of the amplitude-frequency characteristics of chip electromagnetic (EM) leakage, effectively highlighting high-amplitude frequency features while suppressing low-amplitude ones.
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49 Views
This is a pump fillage time series data set, consisting of 8 time series. The data is sourced from actual production data during the operational process of an oil field. It includes data from 8 oil wells, with measurements collected every half hour between July 22, 2022, and August 16, 2022. The pump fillage is extracted from the operational process of an oil field. The pump fillage data for each well is sorted in chronological order to obtain the pump fillage time series for each well. The data set had varying numbers of cards due to potential communication issues, rangin
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59 Views
Intrusion detection in Unmanned Aerial Vehicle (UAV) networks is crucial for maintaining the security and integrity of autonomous operations. However, the effectiveness of intrusion detection systems (IDS) is often compromised by the scarcity and imbalance of available datasets, which limits the ability to train accurate and reliable machine learning models. To address these challenges, we present the "CTGAN-Enhanced Dataset for UAV Network Intrusion Detection", a meticulously curated and augmented dataset designed to improve the performance of IDS in UAV environments.
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1376 Views