Despite the growing need for object-detection systems, companies, governments, industries, and organisations face significant challenges in implementing them to address real-world problems. Object detection supports applications ranging from quality control and inventory manageme...
Open access
Research Article10.9734/ajrcos/2026/v19i8894
In the last few decades, data communication has recorded massive improvements. These improvements were brought about by advancement in digital circuitry, its availability and persistent reduction in cost. Before the advancement of digital communication technology, analogue commun...
Open access
Research Article10.9734/ajrcos/2021/v7i330183
This review studies the evolution of object detection methodologies, from traditional to modern deep learning techniques, including CNNs (Convolutional Neural Networks), YOLO (You Only Look Once) variants (v1–v8), and ViTs (Vision Transformers). A systematic analysis of 49 studie...
Open access
Research Article10.9734/ajrcos/2025/v18i12798
The investigation studied the state of art on corpus-based approaches for sentiment analysis. Thus, detailing its methodologies, evaluation metrics, limitations, and future directions. The importance of sentiment analysis in fields such as marketing, customer feedback analysis, s...
Open access
Research Article10.9734/ajrcos/2024/v17i7481
The rapid evolution of technology has significantly transformed payment methods, with a notable shift towards online platforms. However, this transition has also witnessed a concurrent increase in fraudulent activities, particularly within online credit card transactions. In resp...
Open access
Research Article10.9734/ajrcos/2024/v17i7476
Online medical forums allow users to research medical treatments or conditions and gain support from other users dealing with similar issues. These forums have become increasingly popular over the past decade, helping connect medical patients and professionals from various backgr...
Open access
Research Article10.9734/ajrcos/2023/v15i3322