International Journal of Data Science and Analysis

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Volume 6, Issue 4, August 2020

  • Low Light Image Enhancement for Dark Images

    Akshay Patil, Tejas Chaudhari, Ketan Deo, Kalpesh Sonawane, Rupali Bora

    Issue: Volume 6, Issue 4, August 2020
    Pages: 99-104
    Received: 10 May 2020
    Accepted: 25 May 2020
    Published: 7 September 2020
    DOI: 10.11648/j.ijdsa.20200604.11
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    Abstract: Image plays an important role in this present technological world and leads to progress in multimedia communication, various research fields related to image processing, etc. Low-light image enhancement specifically addresses images captured in low-light conditions such as nighttime, where the common goal is to brighten and improve the contrast of ... Show More
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  • A Comparative Analysis on Police Related Deaths and Prediction of 2020 Presidential Election

    Bon-A Koo, Jana Choe, Yeseo Kim

    Issue: Volume 6, Issue 4, August 2020
    Pages: 105-112
    Received: 19 August 2020
    Accepted: 3 September 2020
    Published: 10 September 2020
    DOI: 10.11648/j.ijdsa.20200604.12
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    Abstract: The recent death of George Floyd once again reminded the Americans of the chronic racial bias when it comes to police using force during an encounter with an alleged criminal or, in some cases, innocent civilians, and promulgated Black Lives Matter (BLM) movements in the United States. In order to verify such police use of excessive force against a... Show More
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  • Sequential Bayesian Analysis of Bernoulli Opinion Polls; a Simulation-Based Approach

    Jeremiah Kiingati, Samuel Mwalili, Anthony Waititu

    Issue: Volume 6, Issue 4, August 2020
    Pages: 113-119
    Received: 17 August 2020
    Accepted: 5 September 2020
    Published: 19 September 2020
    DOI: 10.11648/j.ijdsa.20200604.13
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    Abstract: In this paper we apply sequential Bayesian approach to compare the outcome of the presidential polls in Kenya. We use the previous polls to form the prior for the current polls. Even though several authors have used non-Bayesian models for countrywide polling data to forecast the outcome of the presidential race we propose a Bayesian approach in th... Show More
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