Raphael Aduramimo Olusola

• Graduate at Olusegun Agagu University of Science and Technology

This innovative project showcases a versatile power supply module, capable of delivering both AC and DC outputs, regardless of the input power source. This user-friendly device offers multiple output options from a single unit, catering to diverse power requirements. At its core, a microcontroller (8051) expertly manages the switch and relay config...

Water is an essential and valuable resource in daily life, making its conservation crucial to prevent adverse effects. Storing water for domestic, industrial, agricultural, and other purposes is particularly important. Safe drinking water is increasingly becoming polluted due to the growing population and their demands for urbanization and industri...

Integrating machine learning (ML) with the Internet of Things (IoT) reveals hidden patterns and insights from extensive sensor data, enabling IoT to become omnipresent and make intelligent decisions without explicit programming. ML is essential for IoT to meet the future needs of businesses, governments, and individuals. IoT aims to sense its envir...

Metropolitan cities worldwide face severe traffic congestion due to a significant increase in vehicles, despite inadequate road infrastructure. Conventional traffic signaling systems, relying on manual or time-based control, are inefficient and lack real-time data, leading to delayed emergency response times, fuel waste, and health issues. To addre...

Integrating machine learning (ML) with the Internet of Things (IoT) reveals hidden patterns and insights from extensive sensor data, enabling IoT to become omnipresent and make intelligent decisions without explicit programming. ML is essential for IoT to meet the future needs of businesses, governments, and individuals. IoT aims to sense its envir...

Breast cancer remains a leading cause of mortality among women globally, necessitating accurate and early diagnosis techniques. This study explores the effectiveness of Support Vector Machine (SVM) techniques for diagnosing breast cancer, utilizing the Object-Oriented Analysis and Design Method (OOADM) for system development. The research employed...

The integration of cutting-edge remote sensing technologies, biophysical principles, and advanced spatial statistics enables innovative landscape analysis across various spatial and temporal scales. Traditional approaches relied on classification methods and indices derived from multi-spectral imagery to assess landscape degradation. However, moder...

Metropolitan cities worldwide face severe traffic congestion due to a significant increase in vehicles, despite inadequate road infrastructure. Conventional traffic signaling systems, relying on manual or time-based control, are inefficient and lack real-time data, leading to delayed emergency response times, fuel waste, and health issues. To addre...