Abstract: Landslides pose a significant threat to life and property. This research aims to develop a machine-learning model to predict landslide occurrences, focusing on logistic regression. Key ...
One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...
Abstract: In data-driven nonlinear modeling, kernel partial least squares (KPLS) is a useful tool for quality-related process monitoring. However, in time-varying nonlinear processes, degraded ...
Nguyen (Jearlie), N. (2025) The Effects of Cashierless Technology on Amazon’s Stock Price. iBusiness, 17, 218-227. doi: ...
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