数据集包含被屏蔽的飞机关键部位和不同类型的飞机,共7000张图像

源代码和数据集可以在 https://github.com/dlj0214/AP-DATA--MS-IAF 找到。

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The near infrard spectra of 80 corns

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The vibration signals used in this dataset were collected from 1.5 MW wind turbines in June 2020. The wind farm locates in eastern China. The planetary gearbox contains two-stage planetary and one-stage parallel transmission mechanisms. Vibration signals were acquired using a piezoelectric accelerometer (VIB 6.140) mounted on the ring of the second-stage planetary mechanism of the gearbox by a DAQ system with a sampling frequency of 16384 Hz.

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This dataset contains semi-structural interviews designed to support the screening and assessment of major depressive disorder in China. These interviews were collected as part of a larger effort to create automatic AI tools that interview people and identify visual, acoustic, and textual indicators of MDD. Audio-visual recordings of interviews, extensive questionnaire responses are collected and have been transcribed and annotated for a variety of visual, acoustic, and textual features. The package includes 78 folders for each subject.

Instructions: 

The data are passcode protected. Please download and send the signed EULA to zoubochao@ustb.edu.cn for access request.

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Our data set has 5136 records collected in 214 days. The sampling rate of the sensors is 1 hour. Each record includes the number of vehicles entering and leaving the parking lot in an hour, the CO2 concentration of every building floor at the recording time, and the power consumption of each floor in an hour.

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Currency recognition and classification is one essential task to do. Both paper and coin currency play important role in transactions in everyday life. But provided there are many datasets available of paper currency, and very less datasets are available of coin currency.  Coin currency recognition becomes important because even though the amount for which people do coin transactions is small but inaccuracy in recognition can lead to huge loss. Following are the objectives to create this dataset:

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Port scanning attack is popular method to map a remote network or identify operating systems and applications. It allows the attackers to discover and exploit the vulnerabilities in the network.

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Two electric vehicles were used in this study, namely the Renault Zoe Q210 2016 and the Renault Kangoo ZE 2018. The EVs were equipped with data loggers connected to the CAN bus recording data on the HV battery current, voltage, SoC, and instantaneous speeds. We also used a GPS logger mobile application to record GPS tracks and altitudes. Data were collected from six drivers (four men and two women) with varying levels of driving experience (from less than two months to more than 10 years) on a variety of roads and driving conditions for nearly 200 kilometers

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Vibration and Acoustic data for defect cases of the cylindrical roller bearing (NBC: NU205E) of Precision Metrology Laboratory, Mechanical Engineering Department, Sant Longowal Institute of Engineering and Technology, Longowal, India

This data can have the following applications:

-        Test the performance of various signal processing techniques.

-        Defect width measurement using vibration data

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We conducted the experiments on seven different size instances for training and testing.

We used the notation |J| X |M| to denote that a DFJSP instance consists of |J| jobs and |M| machines.

Specifically, 10X10, 20X20, 30X30 are three static instances and four dynamic instances of various scales considering continuous arrival of jobs are set as 20X10, 30X15, 50X20, 100X20.

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