Aims: This study aims to evaluate and compare the reliability of Selenium and Playwright, two leading frameworks for automated web testing. The assessment focuses on key reliability metrics, including uptime and the Rate of Occurrence of Failures (ROCOF). Study Design: A comparat...
Open access
Research Article10.9734/ajrcos/2025/v18i1546
Aims: This study provides a detailed comparison of two leading claims management software in the insurance industry, Guidewire ClaimCenter and Duck Creek Claims in terms of architecture, key features, scalability, deployment options, and industry adoption by evaluating real-world...
Open access
Research Article10.9734/ajrcos/2025/v18i1547
This opinion article explores the evolving responsibilities of data scientists in the current data-driven landscape, in which ethical, privacy, and governance standards have grown considerably in importance. Although the job of data scientist initially attracted attention for its...
Open access
Research Article10.9734/ajrcos/2025/v18i1544
This study aims to evaluate the performance and reliability of 4G technology across mobile network operators in Nigeria by analyzing the Evolved Radio Access Bearer (ERAB) channel drop rate. Covering a 36-month period from January 2021 to December 2023, the research seeks to prov...
Open access
Research Article10.9734/ajrcos/2025/v18i1545
This study utilizes a comparative approach to explore and contrast various models for newcomer integration within organizational contexts. By conducting a systematic literature review, the research identifies key components, outcomes, and challenges associated with each model. Th...
Open access
Research Article10.9734/ajrcos/2025/v18i1543
Registration and queue management are essential for efficient healthcare services. However, the process has some potential drawbacks: long queues, long waiting times, difficulty in getting real-time information on queues, and missed doctor which negatively impact patient experien...
Open access
Research Article10.9734/ajrcos/2024/v17i12542
Cyber professionals and general users are still challenged on how to secure cyberspace and their related activities. The primary challenge remained difficulty in identifying the perpetrators of cybercrimes due to the anonymous nature of the internet and the use of sophisticated a...
Open access
Research Article10.9734/ajrcos/2024/v17i12541
This bibliometric analysis examines global research trends in Artificial Intelligence (AI) from 2019 to 2023, using 7,030 Scopus indexed documents. The study found an annual growth rate of 25.93%, indicating a substantial increase in AI research effort. The majority of articles w...
Open access
Research Article10.9734/ajrcos/2024/v17i12540
Renewable energy, particularly solar energy, is an important component of sustainable agriculture because it provides energy-efficient and ecologically friendly alternatives to traditional techniques. AI reduced waste and produced predicted insights, improving agricultural operat...
Open access
Research Article10.9734/ajrcos/2024/v17i12539
The purpose of this study is to investigate the meaning and characteristics of big data and to examine aspects of consumer behavior within the framework of big data research. The results show that although external factors and internal perception are the primary determinants of c...
Open access
Research Article10.9734/ajrcos/2024/v17i12538
This article examines the impact of generative artificial intelligence (AI) on the transformation of retail in the digital age. The author emphasizes that generative AI, by creating new content and providing personalized experiences, is becoming a key tool for retailers, allowing...
Open access
Research Article10.9734/ajrcos/2024/v17i12537
Balancing fairness and predictive accuracy remains a key challenge in AI system development. This study investigates the origins of AI bias, how it happens in business processes, and the challenges it poses to ethical and transparent decision-making. Drawing on existing literatur...
Open access
Research Article10.9734/ajrcos/2024/v17i12536
Canopy clustering is an effective method for determining the number of clusters dynamically without requiring a predefined cluster count, making it particularly suitable for large and complex datasets. However, its performance is highly dependent on the manual tuning of threshold...
Open access
Research Article10.9734/ajrcos/2024/v17i12535
The tomato is a very popular and commonly eaten fruit. Its quality, which affects how people see it, depends a lot on how it looks. Convolutional neural networks, which are advanced computer programs, are great at using deep learning to sort and classify fruits, grains, and veget...
Open access
Research Article10.9734/ajrcos/2024/v17i12534
Generative AI has emerged as a transformative field within artificial intelligence, enabling the creation of new data that mimics real-world information and expands the boundaries of what machines can autonomously generate. This study discuss the various models of generative AI,...
Open access
Research Article10.9734/ajrcos/2024/v17i12533