Computational Intelligence

The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj.

3105 views
  • Computer Vision
  • Last Updated On: 
    Sun, 02/09/2020 - 01:24

    The dataset contains Software Development Effort Estimation (SDEE) metrics values extracted from around 1800 Open Source Software (OSS) repositories of GitHub.

    707 views
  • Computational Intelligence
  • Last Updated On: 
    Tue, 03/05/2019 - 05:58

    The present dataset is based on implementing of 3 approaches  with respect to the acquisition of driver data. The same one that we propose to use a sensor of concentration of alcohol in the environment (physiological), a sensor that measure the temperature of the defined points on driver’s face (biological) and another one that allows to identify and recognize the thickness of the pupil (visual characteristics).

     

    614 views
  • Transportation
  • Last Updated On: 
    Thu, 03/28/2019 - 11:33

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

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

    Ten software defect datasets with format ARFF

    176 views
  • 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.

    107 views
  • 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.

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

     We photographed Giemsa-stained thick blood smear slides from 150 P. falciparum infected patients at Chittagong Medical College Hospital, Bangladesh, using a smartphone camera for the different microscopic field of views. Images are captured with 100x magnification in RGB color space with a 3024×4032 pixel resolution. An expert slide reader manually annotated each image at the Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand. We de-identified all images andtheir annotations, and archived them at the National Library of Medicine (IRB#12972).

    605 views
  • Standards Research Data
  • Last Updated On: 
    Wed, 01/29/2020 - 14:56

    Abstract

    91 views
  • 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

    1334 views
  • Remote Sensing
  • Last Updated On: 
    Wed, 12/04/2019 - 09:51

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