Computational Intelligence

Copyright (C) 2016-2019 Shandong UniversityDataset for "An artificial fusion intelligence-driven approach to energy-aware scheduling of stochastic nonlinear heterogeneous super-systems”

  • Computational Intelligence
  • Last Updated On: 
    Tue, 02/05/2019 - 11:24

    Ten software defect datasets with format ARFF

  • Standards Research Data
  • Last Updated On: 
    Tue, 01/22/2019 - 04:47

    Design of novel RF front-end hardware architectures and their associated measurement algorithms.Research objectives, includes:RO1: Novel architecture based upon Adaptive Wavelet Band-pass Sampling (AWBS) of RF Analog-to-Information Conversion (AIC).RO2: Integration of AWBS for increasing the wideband sensing capabilities of real-time spectrum analyzers by using AICs.RO3: Propose online calibration methods and algorithms for front-end hardware non-idealities compensation.RO4: Design a hardware prototype aimed to perform real-time spectrum sensing with 1 GHz real-time bandwidth.

  • Communications
  • Last Updated On: 
    Wed, 01/02/2019 - 14:01

    This database has five different linter quality classes (short cotton fibers), linter has wide applicability in the production of surgical tissue, paper money among other applications. The images available were used to classify the product in an industrial process, through the use of computer vision techniques.

  • Standards Research Data
  • Last Updated On: 
    Thu, 12/27/2018 - 11:22

    For malaria diagnosis in a parasitologist, they count the number of parasites per 200 white blood cells (WBCs) or per 500 WBCs, and then convert this number into parasitemia to diagnose whether a patient is infected or not.

    This dataset currently includes 12 images for one patient set. Each image has its corresponding annotation file (ground truth) with the same file name as the jpeg file but saved as a txt file.

  • Standards Research Data
  • Last Updated On: 
    Thu, 12/20/2018 - 10:57

    Abstract

  • Standards Research Data
  • Last Updated On: 
    Tue, 12/18/2018 - 06:49

    Emergency  managers  of  today  grapple  with  post-hurricane damage assessment that is often labor-intensive, slow,costly,   and   error-prone.   As   an   important   first   step   towards addressing  the   challenge,   this   paper   presents   the   development of  benchmark  datasets  to  enable  the  automatic  detection  ofdamaged buildings from post-hurricane remote sensing imagerytaken  from  both  airborne  and  satellite  sensors.  Our  work  has two  major  contributions:  (1)  we  propose  a  scalable  framework to  create  benchmark  datasets  of  hurricane-damaged  buildings

  • Remote Sensing
  • Last Updated On: 
    Fri, 05/17/2019 - 09:14

    This Data provides a report on the number of Cyberattacks received by Zapaat Search Engine - the server being hosted in India. A list of offending IP addresses is also provided.

  • Computational Intelligence
  • Last Updated On: 
    Sat, 06/15/2019 - 05:08

    The dataset was constructed by capturing real-time background traffic of 9 applications. The 9 applications represent different types of network behaviour in the background, for high level of network

  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Ahmed Saeed, Mario Kolberg

    The Geomagnetic field can be used for classifying different landmark locations inside a big building.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Bimal Bhattarai, Rohan Kumar Yadav, Hui-Seon Gang and Jae-Young Pyun *

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