American Journal of Computer Science and Technology

Volume 7, Issue 3, September 2024

  • Research Article

    Conversational AI and Chatbots: Enhancing User Experience on Websites

    Manoj Kumar Dobbala*, Mani Shankar Srinivas Lingolu*

    Issue: Volume 7, Issue 3, September 2024
    Pages: 62-70
    Received: 18 June 2024
    Accepted: 11 July 2024
    Published: 29 July 2024
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    Abstract: This research paper explores the transformative potential of conversational AI and chatbots in enhancing website user experience (UX). It addresses two key research questions: How do these technologies improve user engagement and satisfaction on websites, and what are the primary challenges in implementing them, along with effective solutions. The ... Show More
  • Research Article

    Rethinking Multilingual Scene Text Spotting: A Novel Benchmark and a Character-Level Feature Based Approach

    Siliang Ma, Yong Xu*

    Issue: Volume 7, Issue 3, September 2024
    Pages: 71-81
    Received: 30 July 2024
    Accepted: 26 August 2024
    Published: 6 September 2024
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    Abstract: End-to-end multilingual scene text spotting aims to integrate scene text detection and recognition into a unified framework. Actually, the accuracy of text recognition largely depends on the accuracy of text detection. Due to the lackage of benchmarks with adequate and high-quality character-level annotations for multilingual scene text spotting, m... Show More
  • Research Article

    Enhancing Software Testing Practices in Tanzanian Software Development Companies: A Case Study Approach

    Magori Alphonce*

    Issue: Volume 7, Issue 3, September 2024
    Pages: 82-89
    Received: 16 July 2024
    Accepted: 24 August 2024
    Published: 20 September 2024
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    Abstract: Purposes: The primary objective of this conducted research is to investigate and propose strategies for improving software testing practices in Tanzanian software development companies. Specifically, the study identify the current state of software testing practices, understand challenges faced by software development companies in Tanzania, propose... Show More
  • Research Article

    Assessment of a Deep-Learning System for Colorectal Cancer Diagnosis Using Histopathology Images

    Purna Kar, Sareh Rowlands*

    Issue: Volume 7, Issue 3, September 2024
    Pages: 90-103
    Received: 6 August 2024
    Accepted: 2 September 2024
    Published: 20 September 2024
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    Abstract: Colorectal Cancer is one of the most common and lethal forms of cancer hence, an early and accurate detection is crucial. Traditional manual diagnosis is a tedious and time-consuming job susceptible to human errors; therefore, it is imperative to use computer-aided detection systems to interpret medical images for a quicker and more accurate diagno... Show More
  • Research Article

    Joint Entity and Relation Extraction Using Machine Reading Comprehension for Urdu

    Maria Riasat*

    Issue: Volume 7, Issue 3, September 2024
    Pages: 104-114
    Received: 4 July 2024
    Accepted: 3 September 2024
    Published: 26 September 2024
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    Abstract: Joint Entity and Relation Extraction (JERE) plays an important role in natural language processing (NLP) by identifying names, locations, and the relationships among them from unstructured text. Despite extensive research in languages like English, JERE poses significant challenges in low-resource languages, particularly Urdu, due to limited annota... Show More
  • Research Article

    Evolving Adversarial Training (EAT) for AI-Powered Intrusion Detection Systems (IDS)

    Ahmed Muktadir Affan*

    Issue: Volume 7, Issue 3, September 2024
    Pages: 115-121
    Received: 23 June 2024
    Accepted: 15 July 2024
    Published: 29 September 2024
    DOI: 10.11648/j.ajcst.20240703.16
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    Abstract: Intrusion Detection Systems (IDS) are crucial components of network security, yet traditional IDS models often fail to cope with rapidly evolving adversarial attacks that exploit their static nature. This study proposes a novel approach, Evolving Adversarial Training (EAT), to enhance the adaptability and robustness of AI-powered IDS against dynami... Show More