Machine Learning
A real-world radio frequency (RF) fingerprinting dataset for commercial off-the-shelf (COTS) Bluetooth emitters under challenging testbed setups is presented in this dataset. The dataset includes emissions from 10 COTS IoT emitters (2 laptops and 8 commercial chips) that are captured with a National Instruments Ettus USRP X300 radio outfitted with a UBX160 daughterboard and a VERT2450 antenna. The receiver is tuned to record a 2 MHz bandwidth of the spectrum centered at the 2.414 GHz frequency.
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Roughly 16 million mobile devices are available with the majority of the population worldwide and this number going to increase exponentially. Many mobile devices do include sensors and hence can be used for other applications rather than mobile gaming. In the present work, we have collected mobile sensor data for 11 classes. Each class of data is gathered with a child or adult person performing different activities during the day or recreating the scenario of different crimes.
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The code contains two public Parkinson's speech datasets, a self-collected Parkinson's speech dataset, some common public datasets. It also contains the MATLAB code for Intra-subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Speech Data of Parkinson's Disease( JTEHM-00114-2022).
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China has a vast territory, and different regions have different air quality conditions. The database selects the air quality of 264 major cities in China as the research object.
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A curated dataset containing underwater acoustic signals categorized into five different classes based on the vessel type: Cargo, Tanker, Tug, Passengership, and Background. Different subsets of data were generated from the original data considering the distance from the vessel to the hydrophone picking up the vessel's sound.
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