Computational Intelligence

Our dataset includes three parts: MNIST-rot,  MNIST-scale, and MNIST-rand. MNIST-rot is generated by randomly rotating each sample in the MNIST testing dataset in $[0,2\pi]$. We generated MNIST-scale by randomly scaling the ratio of the area occupied by the symbol over that of the entire image by a factor in $[0.5,1]$, and generated MNIST-rand by scaling and rotating images in MNIST testing dataset simultaneously.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Zihang He

    Deep learning belongs to the scope of artificial intelligence, which has attracted researchers all over the world. The CNN is one the most popular techniques of deep learning. In this paper, the WLAN (wireless local area network) localization is given by SVD (singular value decomposition) noise-reduction and CNN (convolutional neural network).

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Kun-Chou Lee and Yu-Da Huang

    ARLab dataset with images used to train object grasping points. There are 4692 object images for training and testing.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Andres Gaona and Hsien-I Lin

    An effective use of electrochemical Energy Storage Systems (ESSs) is mandatory for improving the performances of next generation electric vehicles and hybrid electric vehicles, as well as of smart grid and microgrid systems.In particular, Battery Management Systems (BMSs) are useful devices aiming at monitoring, managing, and controlling the battery pack. One of the main task of any BMS is performing State of Charge estimation of the cells composing the ESS.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Massimiliano Luzi

    The dataset contains the simulation results on two stochastic games -- box pushing and distributed sensor network (DSN). The setting of parameters is given in the manuscript named "A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents".  

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Zhen Zhang

     

    The Iris flower data set or Fisher's Iris data set is a multivariate data set .The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. Based on the combination of these four features, Fisher developed a linear discriminant model to distinguish the species from each other.

     

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    R.A.Fisher

    The data format is described as follows:

    Event: {‘acc’: array([[x_axis], [y_axis], [z_axis], ‘gyr’,array([x_axis], [y_axis], [z_axis], ‘label’: No ]

    No =1 means acceleration.

    No =2 means normal driving.

    No =3 means collision.

    No =4 means left turn.

    No =5 means right turn.

     

  • Sensors
  • Last Updated On: 
    Mon, 04/01/2019 - 09:40
    Citation Author(s): 
    Yong Zhang, Yaohua Guo

    With the advent of huge data availability and cheap processing power to derive insights from data ,applications of Big Data and Machine Learning are gaining popularity in every industry. Now, Predicting about future is no more an alternate but a necessity to increase efficiency with accurate output. Forecasting for a shorter duration (Nowcasting) fits perfectly in this space to estimate the final production for better planning and control.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Parul Arora,Himanshu Kumar,Bijaya Ketan Panigrahi

     

    This is a model of artificial intelligence architecture developed using the 

    technique of targeting and assembling various components (as needed) together 

    to get artificial intelligence with characteristics similar to human intelligence. 

    This model represents the general form, the strategy, and the mechanism of 

    manufacturing an artificial intelligence device and the fact that based on what 

    structure it can turn into artificial intelligence. One of the important features of 

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    farshid bahrami

    This dataset is for validate and evaluate English-Bangla machine translation systems.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 08/02/2018 - 10:06

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