Land classification is crucial for environmental monitoring, resource management, and urban planning. This research explores using Kolmogorov-Arnold Networks (KAN), a novel machine learning model, for multispectral land classification. Unlike traditional neural networks, KAN utilizes univariate functions as activation mechanisms, enhancing its ability to capture complex spatial and spectral patterns in satellite imagery. The study focuses […]

Molten salt-based thermal energy storage (TES) systems offer a promising way to store and manage heat efficiently, especially for industries that rely on stable high-temperature processes. However, these systems are still in development, and key challenges—such as heat loss, material durability, and long-term performance—must be addressed to ensure their reliability and cost-effectiveness. While some studies […]

This project focuses on understanding how child abuse is passed down through multiple generations by analyzing interviews with mothers about their experiences (collected previously) and then assessing maltreatment in subsequent generations. Using a unique and specialized coding system, the research will provide new insights into how abuse is perpetrated and perpetuated. The findings will help […]