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
The YOLOv series represents state-of-the-art technology for single-stage object detection, excelling in speed and accuracy. In many scenarios, it outperforms traditional two-stage detection frameworks, making it ideal for real-time applications. This study evaluates YOLOv11 model...
Open access
Research Article10.9734/ajrcos/2024/v17i12532