Machine Learning

This is a reservoir dataset including a large number of figures. Reservoir simulation, an important part of the petroleum industry, a powerful tool helping oil companies understand the reservoir better.

In this dataset, there more than 10,000 figures are showing in different period oilfield development. From the beginning to the end, we keep some variables constant while some changes to make clear the influences of different parts.

  • Machine Learning
  • Energy
  • Last Updated On: 
    Wed, 10/30/2019 - 03:16

    The Contest: Goals and Organization

     

    The 2017 IEEE GRSS Data Fusion Contest, organized by the IEEE GRSS Image Analysis and Data Fusion Technical Committee, aimed at promoting progress on fusion and analysis methodologies for multisource remote sensing data.

     

    157 views
  • Computer Vision
  • Last Updated On: 
    Tue, 10/29/2019 - 09:58

    This dataset includes the measurements of a simulated vehicle inside a Gazebo simulation using different sensors: a simulated UWB tag, a IMU and a PX4Flow. 

    126 views
  • Machine Learning
  • Last Updated On: 
    Sun, 02/02/2020 - 16:37

    Iris recognition has been an interesting subject for many research studies in the last two decades and has raised many challenges for the researchers. One new and interesting challenge in the iris studies is gender recognition using iris images. Gender classification can be applied to reduce processing time of the identification process. On the other hand, it can be used in applications such as access control systems, and gender-based marketing and so on. To the best of our knowledge, only a few numbers of studies are conducted on gender recognition through analysis of iris images.

    492 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 10/31/2019 - 09:48

    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. 

     

    300 views
  • Artificial Intelligence
  • Last Updated On: 
    Tue, 11/12/2019 - 08:05

    The Data Fusion Contest 2016: Goals and Organization

    The 2016 IEEE GRSS Data Fusion Contest, organized by the IEEE GRSS Image Analysis and Data Fusion Technical Committee, aimed at promoting progress on fusion and analysis methodologies for multisource remote sensing data.

    New multi-source, multi-temporal data including Very High Resolution (VHR) multi-temporal imagery and video from space were released. First, VHR images (DEIMOS-2 standard products) acquired at two different dates, before and after orthorectification:

    273 views
  • Computer Vision
  • Last Updated On: 
    Fri, 10/25/2019 - 11:22

    Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.

    3965 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 01/30/2020 - 23:47

    We introduce a new robotic RGBD dataset with difficult luminosity conditions: ONERA.ROOM. It comprises RGB-D data (as pairs of images) and corresponding annotations in PASCAL VOC format (xml files)

    It aims at People detection, in (mostly) indoor and outdoor environments. People in the field of view can be standing, but also lying on the ground as after a fall.

    63 views
  • Computer Vision
  • Last Updated On: 
    Thu, 10/24/2019 - 08:32

    This dataset is part of our research on malware detection and classification using Deep Learning. It contains 42,797 malware API call sequences and 1,079 goodware API call sequences. Each API call sequence is composed of the first 100 non-repeated consecutive API calls associated with the parent process, extracted from the 'calls' elements of Cuckoo Sandbox reports.

    586 views
  • Machine Learning
  • Last Updated On: 
    Wed, 12/11/2019 - 20:28

    Our efforts are made on one-shot voice conversion where the target speaker is unseen in training dataset or both source and target speakers are unseen in the training dataset. In our work, StarGAN is employed to carry out voice conversation between speakers. An embedding vector is used to represent speaker ID. This work relies on two datasets in English and one dataset in Chinese, involving 38 speakers. A user study is conducted to validate our framework in terms of reconstruction quality and conversation quality.

    241 views
  • Machine Learning
  • Last Updated On: 
    Tue, 10/22/2019 - 21:40

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