Nitrogen oxide (NOx) emissions from heavy-duty vehicles pose significant environmental and health risks, especially in urban regions with high traffic density. This study presents a comparative multi-...
This work takes a step toward Automated Machine Learning (AutoML) by moving beyond the traditional black-box approach often seen in engineering applications of neural networks. The primary objective i...
This study quantitatively analyzes the dynamic acceleration performance of medium to-large agricultural tractors (60HP and 75HP classes) and validates the reliability of a system-level simulation mode...
Recently, deep learning density networks have become the standard baselines for financial time-series forecasting. In this paper, we introduce density networks structured using the two-stage volatilit...
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