This study explores the application of big data processing methods and machine learning algorithms for predicting household appliance failures, shifting from traditional reactive maintenance models to proactive preventive repair systems. The study is based on an analysis of histo...
Open access
Research Article10.9734/ajrcos/2025/v18i4626
The way businesses operate is changing at an unprecedented pace, thanks to the rapid evolution of digital technologies. Among the most transformative are Artificial Intelligence (AI), Machine Learning (ML), and Blockchain—three powerful tools that are revolutionizing industries b...
Open access
Research Article10.9734/ajrcos/2025/v18i4622
The integration of Artificial Intelligence (AI) and cloud computing has revolutionized enterprise systems, particularly in predictive marketing. AI-powered enterprise solutions enable businesses to analyze vast amounts of data in real-time, enhancing decision-making, customer eng...
Open access
Research Article10.9734/ajrcos/2025/v18i4623
AI-powered chatbots and writing assistants are transforming academic practices in Zambia’s higher learning institutions, raising both opportunities and challenges concerning academic integrity. These tools enhance student learning by providing instant feedback, improving writing...
Open access
Research Article10.9734/ajrcos/2025/v18i4620
Cybersecurity governance is increasingly recognized as a cornerstone of national security, especially in protecting critical infrastructure sectors such as energy, healthcare, finance, telecommunications, and transportation. This study investigates how governance frameworks, IT a...
Open access
Research Article10.9734/ajrcos/2025/v18i4621
The increasing complexity of modern IT infrastructures has pushed traditional operational approaches beyond their limits. This paper explores the integration of Artificial Intelligence for IT Operations (AIOps) within Site Reliability Engineering (SRE) practices to address this c...
Open access
Research Article10.9734/ajrcos/2025/v18i4619
Aims: This study explores the application of machine learning algorithms in predicting customer churn within the telecommunications sector. By analyzing various predictive models, the study identifies key factors influencing churn and assesses how data integration enhances predic...
Open access
Research Article10.9734/ajrcos/2025/v18i4618
A study examines how the current web technologies React and MongoDB affect development speed and system operational outcomes. The analysis investigates how React elements improve system maintainability through its component-based design in combination with MongoDB flexibility for...
Open access
Research Article10.9734/ajrcos/2025/v18i4617
The revolutionary impact of big data in data-driven decision making (DDDM) is examined in this paper, with particular attention to its vital uses in e-business. According to the report, companies may use Big Data analytics to extract useful information from large, complicated dat...
Open access
Research Article10.9734/ajrcos/2025/v18i4616
Olufisayo Juliana Tiwo, Temilade Oluwatoyin Adesokan-Imran, Damilola Comfort Babarinde, Seun Michael Oyekunle, Abayomi Titilola Olutimehin & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2025
The increasing adoption of cloud-based patient information systems in healthcare enhances efficiency and accessibility but introduces significant cybersecurity risks. Traditional encryption methods, such as RSA and ECC, are becoming vulnerable due to rapid advancements in quantum...
Open access
Research Article10.9734/ajrcos/2025/v18i4615
Background: Despite technological advancements, accurate weather forecasting remains a complex and challenging task. This looks at climate forecasts in Mosul City, Iraq, using a deep getting-to-know-you model that uses Long Short-Term Memory (LSTM) networks. More than a century...
Open access
Research Article10.9734/ajrcos/2025/v18i4614
E-business and digital marketing evolution has revolutionized business communication with clients and markets through sales channels to establish deeper relationships for enhanced competitive position. This review combines knowledge from 20 recent studies to analyze the dual natu...
Open access
Research Article10.9734/ajrcos/2025/v18i4612
Quantum Machine Learning (QML) offers a transformative approach to financial forecasting by enhancing predictive accuracy and cybersecurity resilience. This study evaluates QML’s effectiveness using financial market data from Yahoo Finance, comparing Quantum Long Short-Term Memor...
Open access
Research Article10.9734/ajrcos/2025/v18i4613
The global food system faces challenges in food security, environmental sustainability, and supply chain inefficiencies, with traditional methods struggling to meet demands while minimizing resource depletion and ecological impact. New approaches that integrate AI and new technol...
Open access
Research Article10.9734/ajrcos/2025/v18i4611
This study focuses on the development of a rule-based expert system for diagnosing people with pneumonic infections. Pneumonia is the most common respiratory disease causing death worldwide, and its diagnosis is difficult due to clinical symptoms similar to other respiratory dise...
Open access
Research Article10.9734/ajrcos/2025/v18i4609