Computational Intelligence

We introduced the task of acoustic question answering (AQA) in https://arxiv.org/abs/1811.10561.

This dataset aim to promote research in the acoustic reasoning area.

It comprise Acoustic Scenes and multiple questions/answers for each of them.

Each question is accompanied by a functional program which describe the reasoning steps needed in order to answer it.

 

The dataset is constitued is separated in 3 sets :

  • Computational Intelligence
  • Last Updated On: 
    Mon, 02/25/2019 - 16:40
    109 views

    Date fruit data sets are not publicly available. Previous studies have collected and used their own data set. Almost all these studies have few hundred images per class. As our motive was robust date fruit classification, we did not use the camera to take images of a particular size, angle or images with a particular background, instead to add robustness, we built our date fruit database using Google search engine. Hence the images had the multi-background, noise, different lighting condition, other objects, different packaging and sometimes even partial covering.

  • Computational Intelligence
  • Last Updated On: 
    Wed, 02/20/2019 - 06:50
    359 views

    Our Signing in the Wild dataset consists of various videos harvested from YouTube containing people signing in various sign languages and doing so in diverse settings, environments, under complex signer and camera motion, and even group signing. This dataset is intended to be used for sign language detection.

     

  • Communications
  • Last Updated On: 
    Sat, 02/23/2019 - 10:49
    167 views

    The database was created with records of psychosocial risk level colombian teachers school using physiological variables from May 2016 to December 2017 in five municipalities of a metropolitan area of city in Colombia. The application of physiological variables was made to the people who voluntarily participated in the study. The names and personal data were kept by the researcher.

  • Health
  • Last Updated On: 
    Fri, 03/01/2019 - 16:29
    77 views

    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.

  • Computer Vision
  • Last Updated On: 
    Wed, 09/04/2019 - 09:05
    1250 views

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

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

    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).

     

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

    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
    77 views

    Ten software defect datasets with format ARFF

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

    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
    67 views

    Pages