Artificial Intelligence

A Traffic Light Controller PETRI_NET (Finite State Machine) Implementation.

An implementation of FSM approach can be followed in systems whose tasks constitute a well-structured list so all states can be easily enumerated. A Traffic light controller represents a relatively complex control function

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  • Artificial Intelligence
  • Last Updated On: 
    Tue, 02/18/2020 - 11:32

    The CLAS (Cognitive Load, Affect and Stress) dataset was conceived as a freelyaccessible repository which is purposely developed to support research on the automated assessment of certain states of mind and the emotional condition of a person.

    174 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 02/05/2020 - 10:05

    Conveyor belts are the most widespread means of transportation for large quantities of materials in the mining sector. This dataset contains 388 images of structures with and without dirt buildup.

    One can use this dataset for experimentation on classifying the dirt buildup.

    53 views
  • Artificial Intelligence
  • Last Updated On: 
    Wed, 01/29/2020 - 18:54

    The following is the data set for dissolved gas analysis method, it has been collected from literatures and it contains a total of 177 samples.

    75 views
  • Artificial Intelligence
  • Last Updated On: 
    Sun, 01/26/2020 - 11:04

    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.

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

    It includes 312 ROIs. An ROI is a rectangular BMP image region. A rectangular image region  is located within a PDAC tumor region or within a HP region of a slice CT image. ROIs of 1-153 are PDAC, ROIs of 154:312 are HP.

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  • Artificial Intelligence
  • Last Updated On: 
    Mon, 01/20/2020 - 03:59

    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

    Nextmed project is a software platform for the segmentation and visualization of medical images. It consist on a series of different automatic segmentation algorithms for different anatomical structures and  a platform for the visualization of the results as 3D models.

    This dataset contains the .obj and .nrrd files that correspond to the results of applying our automatic lung segmentation algorithm to the LIDC-IDRI dataset.

    This dataset relates to 718 of the 1012 LIDC-IDRI scans.

    126 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 02/27/2020 - 10:07

    The dataset is used to detect essential protein in uncertain PPI network.

    25 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 01/13/2020 - 06:00

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