This manuscript presents a well-executed and timely investigation into how AI-driven predictive analytics can empower niche retail markets through hyper-personalized marketing. It addresses a significant gap in the current literature by focusing on smaller retail businesses that...
Open access
Research Article10.9734/ajrcos/2025/v18i6687
Although traditional cuff-based blood pressure (BP) monitoring is sporadic and laborious, BP is essential for cardiovascular health. We review deep learning approaches for cuff-less blood pressure estimation, such as CNNs, RNNs, Transformer models, and attention processes, and pr...
Open access
Research Article10.9734/ajrcos/2025/v18i6685
Alzheimer’s disease (AD) is a progressive and incurable neurological disorder that affects both cognitive and motor functions, including fine motor skills such as handwriting. Early diagnosis is crucial to slow the progression and improve patient outcomes, especially as current t...
Open access
Research Article10.9734/ajrcos/2025/v18i6683
The demographic transition from high to low fertility has profound societal impacts. Recent years have seen growing interest in applying artificial intelligence (AI) to forecast fertility outcomes at both individual and population levels. This review systematically surveys empiri...
Open access
Research Article10.9734/ajrcos/2025/v18i6684
Early detection of plant diseases is critical for sustainable agriculture and reducing crop losses. This study presents a real-time monitoring system integrating IoT and machine learning for the early detection of basal bulb rot disease in shallots. The system combines image data...
Open access
Research Article10.9734/ajrcos/2025/v18i6681
Diabetes mellitus is a persistent metabolic condition impacting millions globally. Preventing problems requires early detection. This study uses a clinical cohort from Medical Centre Chittagong, Bangladesh, and the Pima Indian Diabetes dataset to create machine learning-based cla...
Open access
Research Article10.9734/ajrcos/2025/v18i6682
This study presents the development of an AI-powered chatbot tailored to assist college students with academic, campus-related, and personal development queries. Designed as a student-support software prototype, the system integrates natural language processing (NLP), text-to-spe...
Open access
Research Article10.9734/ajrcos/2025/v18i6680
This new data modelling strategy is aimed at improving predictions for telemarketing campaigns targeting potential customers for long-term deposit products at a Portuguese retail bank. The dataset includes detailed information about clients, the bank’s products, and various socio...
Open access
Research Article10.9734/ajrcos/2025/v18i6677
Information security is a fundamental principle during data transmission. The main threat to information security is hacking. They are focusing on finding new techniques to breach encryption methods. Therefore, developing new approaches for hiding information against hacker attac...
Open access
Research Article10.9734/ajrcos/2025/v18i6678
The present study examines the impact of Artificial Intelligence (AI) and Machine Learning (ML) on medical imaging, focusing on the demand for automated analysis of unstructured data in Electronic Medical Records (EMRs). It addresses the challenges in extracting knowledge from th...
Open access
Research Article10.9734/ajrcos/2025/v18i6679
This article examines the impact of DevOps practices on improving the productivity of software development teams and managing quality variability in the maintenance of critical systems. Based on an analysis of the MONTE system developed by the Mission Design and Navigation Softwa...
Open access
Research Article10.9734/ajrcos/2025/v18i5673
This study explores the transformative impact of Artificial Intelligence (AI) and cloud computing on digital marketing and organizational operations. As businesses increasingly leverage AI technologies, they gain the ability to create personalized marketing strategies that enhanc...
Open access
Research Article10.9734/ajrcos/2025/v18i5674
This paper presents a novel approach to enhancing system resilience through AI-driven fault injection testing, leveraging automated chaos engineering. As modern distributed systems grow in complexity, traditional resilience testing techniques—often limited by static fault models...
Open access
Research Article10.9734/ajrcos/2025/v18i6675
Movie recommendation systems help users quickly find movies that match their preferences, similar to platforms like Netflix, which personalize suggestions based on individual viewing habits. As digital content grows exponentially with technological advancements, users face challe...
Open access
Research Article10.9734/ajrcos/2025/v18i6676
Breast cancer is predominantly diagnosed in women and remains a leading cause of rising health concerns among females. Manual identification of the disease is often time-consuming and limited in accessibility. To address this, automated diagnostic systems using machine learning (...
Open access
Research Article10.9734/ajrcos/2025/v18i5671