German University of Technology

Feature engineering for intermittent demand forecasting: zero-detection and forecast performance across GRU, LSTM, and TCN architectures

Abstract Accurate forecasting of intermittent demand remains a persistent challenge for deep learning methods, partly due to the inadequacy of conventional error metrics in capturing zero-demand forecasting performance. This study tackles this gap by introducing Z% and NZ%, two d...

Green Versus Brown Assets Under Stress: Who Hedges Energy and Market Risk?

Sustainable finance increasingly treats green assets as instruments for climate-risk hedging; however, it remains unclear whether they protect investors during energy-market shocks and financial-market stress or merely transmit different transition, equity-market, and growth risk...

Integrating road infrastructure condition into intelligent transportation systems: a machine learning-based infrastructure-aware risk prediction approach

Although the majority of Intelligent Transportation Systems (ITS) and risk-prediction frameworks keep considering pavement quality and dynamic traffic behavior as separate phenomena, road infrastructure degradation and traffic flow instability both contribute to risky driving sit...

Thermal Aging and Geometry-Driven Changes in Strength of 3D-Printed Polymers

The benefits of additive manufacturing (AM, i.e., 3D printing) have made it one of the most widely used and favored production techniques across a variety of industries. In the current study, the influence of geometry and thermal aging on the mechanical strength of AMed parts has...