Machine Learning

We obtained 6 million instances to be used as an analysis for modelling CO2 behavior. The Data Logging and sensors nodes acquisition are every 1 second.

89 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 01/23/2020 - 12:33

    Pedestrian detection has never been an easy task for computer vision and automotive industry. Systems like the advanced driver assistance system (ADAS) highly rely on far infrared (FIR) data captured to detect pedestrians at nighttime. The recent development of deep learning-based detectors has proven the excellent results of pedestrian detection in perfect weather conditions. However, it is still unknown what is the performance in adverse weather conditions.

    111 views
  • Computer Vision
  • Last Updated On: 
    Wed, 01/22/2020 - 18:00

    This dataset covers cellular communication signals in the SCF format. There is a total of 60000 signal instances, 36000 of them are reserved as training data and the rest is for the test. The SNR levels are between 1 dB and 15 dB.

    44 views
  • Machine Learning
  • Last Updated On: 
    Mon, 01/20/2020 - 15:16

    Endoscopy is a widely used clinical procedure for the early detection of cancers in hollow-organs such as oesophagus, stomach, and colon. Computer-assisted methods for accurate and temporally consistent localisation and segmentation of diseased region-of-interests enable precise quantification and mapping of lesions from clinical endoscopy videos which is critical for monitoring and surgical planning. Innovations have the potential to improve current medical practices and refine healthcare systems worldwide.

  • Artificial Intelligence
  • Computer Vision
  • Image Processing
  • Machine Learning
  • Biomedical and Health Sciences
  • Medical Imaging
  • Last Updated On: 
    Tue, 02/11/2020 - 00:40

    The data set includes three sub-data sets, namely the DAGM2007 data set, the ground crack data set, and the Yibao bottle cap defect data set, which are divided into a training set and a test set, in which the positive and negative samples are unbalanced.

    61 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 01/15/2020 - 05:59

    A Chinese dataset for table-to-text generation named WIKIBIOCN which inculeds 33,244 biography sentences with related tables from Chinese Wikipedia (July 2018).

    The dataset is divided into training set (30,000), verification set (1000) and test set (2,244).

     

     

    18 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 01/09/2020 - 05:10

    This dataset contains source and processed audio files designed primarily for use with Time-Scale Modification (TSM) research.  88 source files were processed at 10 different time-scale ratios by 6 different TSM algorithms resulting in training set of 5280 files.  Each file was then subjectively evaluated by a minimum of 7 participants providing opinion scores.  Mean Opinion Scores (MeanOS) and Median Opinion Scores (MedianOS) are provided for each file.  An additional 20 files were processed at 4 time-scale ratios by an additional 3 methods were also subjectively evaluated resulting in a t

    103 views
  • Machine Learning
  • Last Updated On: 
    Thu, 02/27/2020 - 10:07

    Since there is no image-based personality dataset, we used the ChaLearn dataset for creating a new dataset that met the characteristics we required for this work, i.e., selfie images where only one person appears and his face is visible, labeled with the person's apparent personality in the photo.

    124 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 01/02/2020 - 17:47

    the measurement data  simulated data of Hd-TCP and its comparisons' performance on the real high-speed railways scenario

    93 views
  • Machine Learning
  • Last Updated On: 
    Thu, 01/02/2020 - 00:45

    These datasets are used to detect Intrusions in Controller Area Network (CAN) bus. Intrusions are detected using various Machine Learning and Deep Learning algorithms.

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    185 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 12/30/2019 - 00:26

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