American Journal of Computer Science and Technology

Volume 7, Issue 2, June 2024

  • Research Article

    Bidirectional LSTM-based Sentiment Analysis for Assamese Text

    Manashi Talukdar*, Shikhar Kumar Sarma

    Issue: Volume 7, Issue 2, June 2024
    Pages: 29-37
    Received: 20 March 2024
    Accepted: 8 April 2024
    Published: 28 April 2024
    DOI: 10.11648/j.ajcst.20240702.11
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    Abstract: With the enhanced exploration of the new generation of the web, people are free to state their opinion on any particular topic like product, services, organization and even on other people online in different social media platform and thus an innumerous amount of user generated contents are being created each moment. Hence, the need for mining this... Show More
  • Research Article

    A Method for Solving the Generalized Weng Model

    Zeng Hongwu, Xu Qiuyu*

    Issue: Volume 7, Issue 2, June 2024
    Pages: 38-42
    Received: 2 April 2024
    Accepted: 22 April 2024
    Published: 17 May 2024
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    Abstract: The Generalized Weng Model is one of the basic models for oil production forecasting. Professor Chen Yuanqian first proposed the linear iterative trial-and-error method to solve the generalized Weng Model, and scholar Zhao Lin proposed the method to solve the Weng model based on binary regression. In this paper, a new method for solving Weng Model ... Show More
  • Research Article

    Test Maturity Model integration (TMMi): Test Maturity in the Financial Domain

    Erik Van Veenendaal*

    Issue: Volume 7, Issue 2, June 2024
    Pages: 43-50
    Received: 3 May 2024
    Accepted: 17 May 2024
    Published: 30 May 2024
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    Abstract: Software quality is of utmost importance to the financial sector. Software testing plays a critical role in achieving software product quality. Financial institutions benefit from rigorous testing by having confidence in the reliability and performance of the software. This can lead to improved customer experience, increased operational efficiency,... Show More
  • Research Article

    An Investigation of Predictability of Traders' Profitability Using Deep Learning

    David Ademola Oyemade*, Eseoghene Ben-Iwhiwhu

    Issue: Volume 7, Issue 2, June 2024
    Pages: 51-61
    Received: 4 June 2024
    Accepted: 24 June 2024
    Published: 8 July 2024
    DOI: 10.11648/j.ajcst.20240702.14
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    Abstract: Trading in the financial market is a daunting task in spite of the attracting increase of the daily turnover of the Forex financial market from 6.5 trillion USD in 2022 to approximately 7.5 trillion USD in 2024. About 80% of retail investors lose money. However, to minimize the risk of losses, investors explore the possibility of profitable trading... Show More