The article addresses existing methods for enhancing the performance of microservice architectures under high-load conditions, where stability and scalability are required to adapt to changing demands. The objective of the study is to systematize existing optimization methods. Th...
Open access
Research Article10.9734/ajrcos/2025/v18i3577
The greatest technical achievement of the twenty-first century is machine learning (ML). The application of machine learning to detect cybersecurity vulnerabilities is a significant advancement in information security. A void exists in the field since the widespread application o...
Open access
Research Article10.9734/ajrcos/2025/v18i2572
Recent years have seen the proposal of numerous routing algorithms for potential use in a variety of application areas. In many network types, such as Wireless Sensor Networks (WSNs), Mobile Ad Hoc Networks (MANETs), and other dynamic contexts, routing is a crucial difficulty. By...
Open access
Research Article10.9734/ajrcos/2025/v18i3573
Overfitting remains a significant challenge in training neural networks, often leading to poor generalization on unseen data. Dropout has emerged as a powerful regularization technique to mitigate overfitting by randomly deactivating neurons during training, thereby preventing co...
Open access
Research Article10.9734/ajrcos/2025/v18i2569
Early detection of neurodegenerative diseases like Alzheimer’s and Parkinson’s is crucial for improving patient care and enabling timely interventions. Artificial intelligence (AI) offers innovative approaches to analyzing complex medical datasets, revolutionizing the detection o...
Open access
Research Article10.9734/ajrcos/2025/v18i2570
The increasing reliance on Internet-based services has rendered secure and efficient network traffic classification critical. Conventional methods for categorising traffic, such as port and payload methods, often struggle with the challenges posed by encrypted traffic. Deep learn...
Open access
Research Article10.9734/ajrcos/2025/v18i2571
The tutorial analyses how and in what ways the algorithms are used and can be employed in different fields and in the scientific context. This paper revisits the centrality measures; degree, betweenness, closeness and eigenvector centrality and how they are used to study complex...
Open access
Research Article10.9734/ajrcos/2025/v18i2568
Diabetic retinopathy, a condition resulting from prolonged high blood sugar levels that damage the retina, can cause vision impairment and, if untreated, lead to blindness. With advances in medical imaging and the availability of fundus image collections such as Madrid Messidor a...
Open access
Research Article10.9734/ajrcos/2025/v18i2566
The advancement of information technology is rapidly changing the face of cyber security and this makes it more important with the increasing trend of sophistication of cyber threats in the society. The authors in this research aim at analyze how AI and ML can improve cybersecuri...
Open access
Research Article10.9734/ajrcos/2025/v18i2567
Aims: The purpose of this study is to classify invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC) of breast cancer using the artificial neural networks recurrent algorithm. the use of artificial neural networks Recurrent algorithms can improve the accuracy of br...
Open access
Research Article10.9734/ajrcos/2025/v18i2563