4 results found

André Vitor Santana Souza, Paulo Ivson, André Heriberto Nunes, Yiselis Rodriguez Vignon

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-...

Scientific Reports 2026-04-23 rs-9283128
Deep Learning Heavy-duty Vehicles NOx Emissions LSTM Meteorological Data Kriging

Orestis Friderikos, Arturo Mendoza, Emmanuel Baranger, John Mirisidis, Dimitrios Sagris, Constantine David, Zvonimir Tomičevi´c

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...

Engineering with Computers 2026-04-23 rs-7968679

Heung Soap Choi

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...

Research Square 2026-04-22 rs-9446430
Agricultural Tractor Dynamic Simulation Acceleration Performance Machine Learning LSTM Bias Correction Model Validation DigitalTwin

Nia P. Chen, Jennifer S.K. Chan, Linh H. Nghiem

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...

Research Square 2026-04-21 rs-9262246
Two stage volatility-return models density networks LSTM quantile and expectile regression Cryptocurrency
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