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
This study explores the role of artificial intelligence (AI)-driven cybersecurity models in mitigating fraud, smart contract vulnerabilities, and regulatory challenges in cryptocurrency platforms. Utilizing datasets such as the Elliptic Bitcoin Dataset, SolidiFI-Benchmark, Crypto...
Open access
Research Article10.9734/ajrcos/2025/v18i3586
The rapid development of digital technology and the increasing interconnection of devices have made computer networks indispensable to modern life. Global data movement, communication, and applications like cloud computing, IoT, e-commerce, and smart cities are all made possible...
Open access
Research Article10.9734/ajrcos/2025/v18i3584
A thorough analysis of the current binary tree-based data distribution techniques in MANETs is the goal of this paper. MANET communication is highly dynamic, necessitating effective data transmission methods to improve network stability while also saving energy. Binary tree topol...
Open access
Research Article10.9734/ajrcos/2025/v18i3585
This review focuses on the use of reinforcement learning (RL) for autonomous systems and current trends and future prospects. It is therefore the intended goal to critically evaluate the concept of RL for improving autonomous decision making with focus on current and emerging iss...
Open access
Research Article10.9734/ajrcos/2025/v18i3581
In the era of digital transformation, machine learning (ML) techniques have revolutionized personalized marketing, enabling businesses to enhance customer engagement through data-driven strategies. This paper presents a systematic review of ML applications in digital marketing an...
Open access
Research Article10.9734/ajrcos/2025/v18i3582
This study evaluates the effectiveness of cybersecurity frameworks in mitigating cyber threats in traditional banking while assessing their applicability to Decentralized Finance (DeFi). Using financial sector reports, cybersecurity incident databases, and DeFi security audits, w...
Open access
Research Article10.9734/ajrcos/2025/v18i3583
This review identifies graph traversal methods as fundamental steps in network analysis that facilitate easy examination of relations within the network. In this review, we plan to discuss multiple graph traversal approaches like depth first search (DFS), breadth first search (BF...
Open access
Research Article10.9734/ajrcos/2025/v18i3578