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
Electromagnetic radiation (EMR) is a recognized approach for investigating the behavior of the nervous system. This research explores a Hopfield Neural Network (HNN) with two neurons, examining the interplay between synapses and hyperbolic memristors, along with the effects of EM...
Open access
Research Article10.9734/ajrcos/2024/v17i12531
Ademola Oluwaseun Salako, Jumai Adedoja Fabuyi, Nsidibe Taiwo Aideyan, Oluwatosin Selesi-Aina, Dooshima Louisa Dapo-Oyewole & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2024
This study explores adaptive information governance models to address critical challenges in AI-driven cloud environments, focusing on enhancing data security and achieving regulatory compliance. Existing frameworks often fail to account for the complexities introduced by AI and...
Open access
Research Article10.9734/ajrcos/2024/v17i12530
In today's organizational landscape, predicting employee attrition has emerged as a critical concern. The departure of trained, technical, and pivotal staff members poses significant challenges, including financial setbacks incurred in their replacement. To address this, organiza...
Open access
Research Article10.9734/ajrcos/2024/v17i12529
This research paper explores the intersection of artificial intelligence (AI), computer science, and environmental sustainability. As climate change accelerates, innovative technologies offer promising avenues for mitigation and adaptation. Through a review of existing literature...
Open access
Research Article10.9734/ajrcos/2024/v17i12527
Titilayo Modupe Kolade, Nsidibe Taiwo Aideyan, Seun Michael Oyekunle, Olumide Samuel Ogungbemi, Dooshima Louisa Dapo-Oyewole & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2024
This study examines the dual role of artificial intelligence (AI) in advancing and challenging global information governance and data security. By leveraging methodologies such as Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), Structural Equation Modelin...
Open access
Research Article10.9734/ajrcos/2024/v17i12528
Abstract: Two decomposition techniques are Buys-Ballot and least square techniques are presented in this study. The two important patterns that may be discussed are trend and seasonality and two competing models are additive and multiplicative models. The trend-cycle component is...
Open access
Research Article10.9734/ajrcos/2024/v17i12526
Several studies agree that traditional ways of preventing cybercrime, by applying common computer security techniques such as passwords, firewalls and anti-virus, are no longer effective tools/methods for preventing cybercrime. Moreover, the empirical studies evidence that the mo...
Open access
Research Article10.9734/ajrcos/2024/v17i12525