This research focuses on predicting household electricity usage by applying K-Means Clustering segmentation in support of energy-saving strategies. In this study, we gather historical monthly electricity consumption data over three…
Lung disease is one of the diseases witha high rate of spread and mortality, especially in developing countries. Early detection is very important to increase the chances of recovery. This study aims to classify the types of lung disease using …
This study analyzed Quality of Service (QoS) in 4G LTE networks during the handover process, focusing on the
parameters RSSI, RSRQ, SINR, and throughput. We conducted data collection through a drive test using the GNetTrack Pro application in the…
Patient non-compliance is one of the major challenges in the healthcare sector, particularly for individuals undergoing long-term treatment. To address this issue, this study developed an intelligent medication monitoring system…
In the era of climate-aware infrastructure planning, accurate and interpretable energy consumption forecasting is a critical need for policymakers and utility providers. Traditional forecasting models often struggle to capture non-linear and dynamic…
This study employs the Design Thinking methodologyto constructa prototypefor discovering pet shops. In this study,we gathered datathrough interviews to uncover key pain points; insights from these interviews informed the definitionphase. During…