Artificial Intelligence

Many applications benefit from the use of multiple robots, but their scalability and applicability are fundamentally limited when relying on a central control station. Getting beyond the centralized approach can increase the complexity of the embedded software, the sensitivity to the network topology, and render the deployment on physical devices tedious and error-prone. This work introduces a software-based solution to cope with these challenges on commercial hardware.

36 views
  • Artificial Intelligence
  • Last Updated On: 
    Tue, 04/07/2020 - 23:36

    we present a new conversational database that we have created and made publically available, namely ScenarioSA, for interactive sentiment analysis. We manually label 2,214 multi-turn English conversations collected from various websites that provide online communication services.

    39 views
  • Artificial Intelligence
  • Last Updated On: 
    Fri, 04/03/2020 - 10:48

    This dataset is associated with the paper entitled "DeepWiPHY: Deep Learning-Based IEEE 802.11ax Receiver". It has synthetic and real-word IEEE 802.11ax OFDM symbols. The synthetic dataset has around 110 million OFDM symbols and the real-world dataset has more than 14 million OFDM symbols. Our comprehensive synthetic dataset has specifically considered typical indoor channel models and RF impairments. The real-world dataset was collected under a wide range of signal-to-noise ratio (SNR) levels and at various locations in a large office. To create this real-world dataset, we built a passive

    53 views
  • Artificial Intelligence
  • Last Updated On: 
    Tue, 04/07/2020 - 11:45

    We test the consumed time of the three steps of the exchange model in order to show that our scheme is feasible.

     

    31 views
  • Artificial Intelligence
  • Last Updated On: 
    Tue, 03/31/2020 - 06:22

    The clean-speech and noise recordings used to train Deep Xi (https://github.com/anicolson/DeepXi). A validation set is also included.

     

    Clean speech:

    152 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 03/26/2020 - 01:19

    This is the noisy-speech test set used in the original Deep Xi paper: https://doi.org/10.1016/j.specom.2019.06.002. The clean speech and noise used to create the noisy-speech set are also available.

    46 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 03/25/2020 - 19:20

    Noisy-speech set used to test Deep Xi (https://github.com/anicolson/DeepXi). The clean speech and noise used to create the noisy-speech set are also available. The clean-speech recordings are from Librispeech test-clean (http://www.openslr.org/12/).

    67 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 03/25/2020 - 19:19

    The data files contains all the thermal images and error data of the spindle in the experiment.

    33 views
  • Artificial Intelligence
  • Last Updated On: 
    Sat, 03/21/2020 - 03:44

    This dataset contains 291 coregistered image pairs of RGB aerial images from IGS's BD ORTHO database. Pixel-level change and land cover annotations are provided, generated by rasterizing Urban Atlas 2006, Urban Atlas 2012, and Urban Atlas Change 2006-2012 maps. 

    176 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 03/23/2020 - 05:33

    Dataset for paper.

    69 views
  • Artificial Intelligence
  • Last Updated On: 
    Fri, 03/20/2020 - 01:44

    Pages