Computational Intelligence

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
    836 views

    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
    103 views

     

    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
    38 views

    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
    555 views

    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
    164 views

     

    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
    205 views

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

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

    This dataset contains 70,861 English-Bangla sentence pairs and more than 0.8 million tokens in each side.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    775 views

    A 128-dimensional vector for one document in text format, where each dimension is represented as a single precision floating-point number。

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    90 views

    The database contains PROCON metrics values extracted from more than 30400 source code files (with 14950 bug reports) of GitHub repository.  Various Machine earning (ML) models trained using PROCON metrics outperform the ones trained using OO metrics of PROMISE repository.

  • Reliability
  • Last Updated On: 
    Tue, 03/05/2019 - 06:02
    80 views

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