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
Olufisayo Juliana Tiwo, Temilade Oluwatoyin Adesokan-Imran, Damilola Comfort Babarinde, Isaac Adinoyi Salami, Ogechukwu Scholastica Onyenaucheya & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2025
Telemedicine’s rapid expansion has improved healthcare accessibility but has also increased cybersecurity risks, particularly AI-powered phishing attacks that exploit authentication vulnerabilities. Patient data breaches are rising due to sophisticated phishing schemes targeting...
Open access
Research Article10.9734/ajrcos/2025/v18i4610
Rapid technological developments intersect with changes in consumer habits within the ever-changing digital environment. This paper discusses future trends in e-commerce, where. A literature review strategy was used in an attempt to identify gaps that companies can leverage to ke...
Open access
Research Article10.9734/ajrcos/2025/v18i4607
Isaac Adinoyi Salami, Temilade Oluwatoyin Adesokan-Imran, Olufisayo Juliana Tiwo, Olufunke Cynthia Metibemu, Abayomi Titilola Olutimehin & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2025
The increasing reliance on artificial intelligence (AI) in credit scoring has raised concerns about algorithmic bias and data privacy, necessitating robust cybersecurity risk assessment frameworks. This study investigates the role of cybersecurity risk assessment in mitigating th...
Open access
Research Article10.9734/ajrcos/2025/v18i4608