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This Data set was obtained from a Hospital in Karaikudi, Tamilnadu Iindia, and has 400 insstances with 25 attributes, intended for classification problems.
The Data Set has medical relevant variables that can be associated to the presence of CKD (Chronical Kidney Diasease). Some of the variables can be arguably more relevant for the model, and after analysis some of them can be correlated, so it's recommended to analyze the dataset and decide the best approach based on individual needs.
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4673 Views
This dataset consists of “.csv” files of 4 different routing attacks (Blackhole Attack, Flooding Attack, DODAG Version Number Attack, and Decreased Rank Attack) targeting the RPL protocol, and these files are taken from Cooja (Contiki network simulator). It allows researchers to develop IDS for RPL-based IoT networks using Artificial Intelligence and Machine Learning methods without simulating attacks. Simulating these attacks by mimicking real-world attack scenarios is essential to developing and testing protection mechanisms against such attacks.
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3907 Views
Unmanned aerial vehicles (UAVs) are being used for various applications, but the associated cyber risks are also increasing. Machine learning techniques have been successfully adopted to develop intrusion detection systems (IDSs). However, none of the existing works published the cyber or physical datasets that have been used to develop the IDS, which hinders further research in this field.
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3032 Views
The dataset contains a collection of V2X (Vehicle-to-Everything) messages for classification, prioritization, and spam message detection. It comprises 1,000 messages with varying message types, content, priorities, and spam labels. The messages are sourced from different vehicles with specific destination vehicles or broadcast to all vehicles. They cover various message types, including traffic updates, emergency alerts, weather notifications, hazard warnings, roadwork information, and spam messages. The priority of the messages is categorized as either high, medium, or low.
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1233 Views
This dataset contain the pulse responses of the Sallen-Key bandpass filter circuit and the amplifier board circuit. The test excitation is a 10 us pulse signal with an amplitude of 5 V and a frequency of 5 kHZ that exhibits abundant frequency components. By observing the pulse response, the sampling frequency is set to 5 MHz and the number of sampling points for each sample is fixed at 1000 in Case 1. PSPICE is applied for circuit simulation to set up the circuit fault according to the range of fault component parameter values.
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274 Views
Dataset for Identification of Saturated and Unsaturated WiFi Networks
The Dataset comprises the histogram of Inter-frame spacing for saturated and unsaturated WiFi networks.
In order to develop a CNN model that can classify saturated and unsaturated traffic in WiFi network, we prepared a large dataset that represents the traffic characteristics of both cases.
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258 ViewsDataset for Identification of Saturated and Unsaturated WiFi Networks
The Dataset comprises the histogram of Inter-frame spacing for saturated and unsaturated WiFi networks.
In order to develop a CNN model that can classify saturated and unsaturated traffic in WiFi network, we prepared a large dataset that represents the traffic characteristics of both cases.
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336 Views
Over speeding of vehicles is considered as one of the most important factors for occurring road accidents. An advanced sensor technology motivates the researchers to move towards automatic vehicles, whereas the speed decisions were taken based on the information collected from the sensor. Beyond its success, the expensiveness, and implementation failure in bad road conditions make it less practicable. In this work, a novel FeduLPM technique has been proposed for controlling the speed in customizable automotive variants using data analysis from the location of the accident.
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37 Views
In the experiment, participants were asked to perform 16 predefined gesture-motion protocols as shown in Fig. Each participant performed 1 experiment in the order of Fig, performing each movement 2 times with a 1-minute break in between each set of movements. Since the measured sEMG signals were almost harmless to the subjects, they could stop the experiment at any time to prevent any discomfort.
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164 Views
The historical dataset of the meteorological variables was recorded by the Mexican National Water Council (Comisión Nacional del Agua, CONAGUA) ground station located at the city of Mérida, Yucatán, Mexico; the following variables were found: temperature (T), vapor pressure (P), and relative humidity (H). The range dates of the records were from January 1, 2000 to September 30, 2018, where there is a daily record of temperatures with minimum, maximum, and average units, resulting in nine readings provided for each day.
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2799 Views