The Ford-Fulkerson method is one of the basic algorithms for computing the maximum flow in a flow network. This identifies more frequent traversed paths as a means of maximizing the flow between a source node and a downstream node in a directed network. Therefore, this paper will...
Open access
Research Article10.9734/ajrcos/2025/v18i3597
The knapsack problem is a classic optimization challenge where the objective is to maximize the total value of items packed into a knapsack without exceeding its weight capacity It comes in several variants, including the 0–1 Knapsack Problem (0-1KP), the Multidimensional Knapsac...
Open access
Research Article10.9734/ajrcos/2025/v18i3595
This review titled (The Evolution of Consumer Trust in E-Commerce: As evidenced in the article entitled Consumer Trust Dynamics in the Era of Digital Technologies: Uncovering Digital Approaches for Improving Loyalty, the development of consumer trust in e-commerce has emerged as...
Open access
Research Article10.9734/ajrcos/2025/v18i3594
This systematic review aims to evaluate the effectiveness of various machine learning models in predicting PD progression using longitudinal data. Despite the increasing use of ML in PD research, gaps remain in understanding the impact of longitudinal data on prediction accuracy...
Open access
Research Article10.9734/ajrcos/2025/v18i3593
With increasing incidence rates, high mortality risks, and substantial cost burdens, skin cancer is a serious global health concern. In order to improve patient outcomes, early and accurate detection is essential. Due to their heavy reliance on clinical knowledge, traditional dia...
Open access
Research Article10.9734/ajrcos/2025/v18i3591
Aims: This study aims to implement the Design Thinking methodology in the development of the BEM Faculty of MIPA, Udayana University’s company profile website. The primary objective is to enhance user experience by addressing usability issues and improving accessibility, navigati...
Open access
Research Article10.9734/ajrcos/2025/v18i3592
Aim: The study examines Continuous Testing (CT) in a DevOps environment for cloud migration within the Property & Casualty (P&C) insurance industry and InsurTech companies. The study evaluates the impact of AI/ML-driven test automation, security testing, and performance v...
Open access
Research Article10.9734/ajrcos/2025/v18i3590
Aims: This study explores the benefits, challenges, and future trends in implementation of automated claims processing in Guidewire ClaimCenter, a leading software platform for insurance providers and provides insights to help insurers who intend to implement automated claims pro...
Open access
Research Article10.9734/ajrcos/2025/v18i3589
This study evaluates Kubernetes' role in managing microservices under high-load conditions, emphasizing the efficiency of Horizontal Pod Autoscaler (HPA), Cluster Autoscaler, and security mechanisms. The research demonstrates how Kubernetes enhances scalability, reduces failure r...
Open access
Research Article10.9734/ajrcos/2025/v18i3587
The integration of data science in healthcare has transformed the landscape of medical decision-making, resource allocation, and patient care. Using big data, electronic health records (EHRs), and social determinants of health (SDOH), data science offers innovative solutions to i...
Open access
Research Article10.9734/ajrcos/2025/v18i3588