Phishing attacks that exploit malicious URLs remain a significant and growing threat in the modern digital ecosystem due to their low operational costs, high scalability, and effectiveness in…
Human Immunodeficiency Virus (HIV) remains a global health challenge that requires accurate and reliable early detection approaches. The use of machine learning offers potential in classifying HIV…
Obesity is a global public health challenge associated with increased risks of chronic diseases and significant socioeconomic burdens. Conventional obesity classification relies predominantly on body…
Dengue Hemorrhagic Fever remains a major public health concern in urban areas of Indonesia, particularly in Bandung City, due to its fluctuating incidence and strong dependence on environmental and…
The increasing penetration of solar photovoltaic (PV) systems into modern power grids demands accurate, reliable short-term power forecasting to ensure operational stability and efficient energy…
Credit card fraud has become a significant challenge for the financial industry, resulting in substantial monetary losses and eroding consumer trust. Detecting fraudulent transactions is particularly…
This study focuses on developing a digital marketing conversion prediction model using an ensemble stacking approach combined with explainable artificial intelligence (XAI) methods to improve model…
Automated identification of plant diseases is crucial for advancing precision agriculture and enabling farmers to make informed, timely decisions. This study presents a deep learning-based framework…
Predicting Beats Per Minute (BPM) in music is a significant challenge due to the complexity of the relationship between various audio features, such as rhythm, energy, and mood. Traditional methods…