.csv.zip

 

368 views
  • Machine Learning
  • Last Updated On: 
    Tue, 12/03/2019 - 22:24

    This dataset was used to investigate numerical methods of integration of the Frenet-Serret equations as applied to the study of vessel shape.  This data is a compliation of previously published data from the following papers:

    A. V. Kamenskiy, J. N. MacTaggart, I. I. Pipinos, et al., “Three-dimensional geometry of the human carotid artery,” Journal of Biomechanical Engineering, vol. 134, no. 6, p. 064592, 2012.

    39 views
  • Medical Imaging
  • Last Updated On: 
    Fri, 11/22/2019 - 16:00

    This is a dataset consisting of 8 features extracted from 70,000 monochromatic still images adapted from the Genome Project Standford's database, that are labeled in two classes: LSB steganography (1) and without LSB Steganography (0). These features are Kurtosis, Skewness, Standard Deviation, Range, Median, Geometric Mean, Hjorth Mobility, and Hjorth Complexity, all extracted from the histograms of the still images, including random spatial transformations. The steganographic function embeds five types of payloads, from 0.1 to 0.5.

    211 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 11/21/2019 - 20:14

    This data contains EMG records of forearm movements. this data can be used for the learning process for students and lecturers or researchers. The sensor used to record data is "Myo Arm-Band". The data is equipped with eight features and ends with the arm movement label still using the Indonesian language term.

    153 views
  • Machine Learning
  • Last Updated On: 
    Mon, 11/11/2019 - 00:48

    This data consists of ten gestures. The format is CSV, arranged in thirty features that end with a label. Each movement is repeated five times and the coordinates are obtained. The sensor used is LeapMotion. This data can be used as a means of machine learning exercises. can be used for students learning machine learning subjects. articles that have used this data can be seen at the link: https://doi.org/10.1109/CENIM.2018.8711397

    625 views
  • Machine Learning
  • Last Updated On: 
    Tue, 01/21/2020 - 14:54

    In order to increase the diversity in signal datasets, we create a new dataset called HisarMod, which includes 26 classes and 5 different modulation families passing through 5 different wireless communication channel. During the generation of the dataset, MATLAB 2017a is employed for creating random bit sequences, symbols, and wireless fading channels. 

     

    541 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 03/23/2020 - 03:12

    Complex networks have been successfully applied to sleep stage analysis and classification. However, whether the electroencephalogram (EEG) montage reference will affect the network properties is still unclear.

    189 views
  • Brain
  • Last Updated On: 
    Wed, 10/02/2019 - 05:37