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
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