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
Aim: Scope of this work aims to explore the effectiveness of AI-powered outbound dialer campaigns with legacy outbound dialer campaigns by evaluating their technological capabilities, operational efficiencies, compliance features, customer experience impact, cost-effectiveness, a...
Open access
Research Article10.9734/ajrcos/2025/v18i3580
Various critical issues in liver diseases include cirrhosis, hepatitis, and liver cancer, which can be fatal. They indeed require early diagnosis with appropriate diagnosis of the disease. The different conventional diagnostic methods generally can't identify these diseases durin...
Open access
Research Article10.9734/ajrcos/2025/v18i3574
Adaptive search algorithms have emerged as pivotal tools for addressing complex, high-dimensional, and nonlinear challenges across various domains. This paper provides a detailed review of adaptive search techniques, including evolutionary algorithms, swarm intelligence methods,...
Open access
Research Article10.9734/ajrcos/2025/v18i3575
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