Computational Intelligence

This is the dataset used in the experiment of paper "Bus Pooling: A Large-Scale Bus Ridesharing Service". The dataset contains 60,822,634 trajectory data from 11,922 Shanghai taxis from one day (Apr 1, 2018). The 100 groups of coordinate sets containing three coordinates as experimental samples are used to compare the effectiveness and efficiency of location-allocation algorithms.

  • Transportation
  • Last Updated On: 
    Thu, 05/30/2019 - 07:46
    117 views

    Bitcoin is a decentralized digital currency that has gained significant attention and growth in recent years. Unlike traditional currencies, Bitcoin does not rely on a centralized authority to control the supply, distribution, and verification of the validity of transactions. Instead, Bitcoin relies on a peer-to- peer network of volunteers to distribute pending transactions and confirmed blocks, verify transactions, and to collectively implement a replicated ledger that everyone agrees on. This peer-to-peer (P2P) network is at the heart of Bitcoin and many other blockchain technologies.

  • Communications
  • Last Updated On: 
    Fri, 05/03/2019 - 14:47
    189 views

    This paper presents a fast and open source extension based on the NSGA-II code stored in the repository of the Kanpur Genetic Algorithms Laboratory (KanGAL) and the adjustment of the selection operator. It slightly modifies existing well-established genetic algorithms for many-objective optimization called the NSGA-III, the adaptive NSGA-III (A-NSGA-III), and the efficient adaptive NSGA-III,  (A$^2$-NSGA-III).

  • Computational Intelligence
  • Last Updated On: 
    Tue, 04/23/2019 - 22:34
    349 views

    A Hybrid Approach to Service Recommendation Based on Network Representation Learning

  • Computational Intelligence
  • Last Updated On: 
    Mon, 04/08/2019 - 07:38
    23 views

    A Hybrid Approach to Service Recommendation Based on Network Representation Learning

  • Computational Intelligence
  • Last Updated On: 
    Mon, 04/08/2019 - 07:38
    12 views

    A new dataset named Sanitation is released to evaluate the HAR algorithm’s performance and benefit the researchers in this field, which collects seven types of daily work activity data from sanitation workers.We provide two .csv files, one is the raw dataset “sanitation.csv”, the other is the pre-processed features dataset which is suitable for machine learning based human activity recognition methods.

  • Computational Intelligence
  • Last Updated On: 
    Mon, 04/01/2019 - 09:52
    122 views

    Includes sentiment-specific distributed word representations that have been trained on 10M Arabic tweets that are distantly supervised using positive and negative keywords. As described in the paper [1], we follow Tang’s [2] three neural architectures, which encode the sentiment of a word in addition to its semantic and syntactic representation. 

     

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    Subject area

     Natural Language Processing

  • Computational Intelligence
  • Last Updated On: 
    Fri, 03/29/2019 - 09:02
    15 views

    The dataset contains measurements taken from four air handling units (AHU) installed in a medium-to-large size academic building. The building is a 7-story, 9000 sqm facility commissioned in 2016 hosting the PRECIS research center. It contains multiple research laboratories, multifunction spaces, meeting rooms, and a large auditorium as well as administrative offices. It is located at 44°2606.0N and 26°0244.0E in a temperate continental climate with hot summers and cold winters. Cooling is handled using on-site electric chillers while heating is provided from a district heating network.

  • Computational Intelligence
  • Last Updated On: 
    Fri, 03/15/2019 - 09:51
    412 views

    The presented dataset has been used as a basis for CAO - a system for analysis of emoticons in Japanese online communication, developed by Ptaszynski et al. (2010). Emoticons are strings of symbols widely used in text-based online communication to convey user emotions. The database contains: 1) a predetermined raw emoticon database containing over ten thousand emoticon samples extracted from the Web, 2) emoticon parts automatically divided from raw emoticons into semantic areas representing “mouths” or “eyes”.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 03/14/2019 - 00:03
    61 views

    Our goal is to find whether a convolutional neural network (CNN) performs better than the existing blind algorithms for image denoising, and, if yes, whether the noise statistics has an effect on the performance gap. We performed automatic identification of noise distribution, over a set of nine possible distributions, namely, Gaussian, log-normal, uniform, exponential, Poisson, salt and pepper, Rayleigh, speckle and Erlang. Next, for each of these noisy image sets, we compared the performance of FFDNet, a CNN based denoising method, with noise clinic, a blind denoising algorithm.

  • Communications
  • Last Updated On: 
    Fri, 03/01/2019 - 21:15
    417 views

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