Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

Remaining useful life (RUL) prediction, known as 'prognostics', has long been recognized as
one of the key technologies in prognostics and health management (PHM) to maintain the …

Accurate prediction of building's response subjected to earthquakes makes possible to
evaluate building performance. To this end, we leverage the recent advances in deep …

Abstract A Probabilistic Physics-guided Neural Network (PPgNN) is proposed in this paper
for probabilistic fatigue SN curve estimation. The proposed model overcomes the limitations …

Trajectory prediction is an essential component of the next generation national air
transportation system. Reliable trajectory prediction models need to consider uncertainties …

Recurrent Neural Networks are powerful machine learning frameworks that allow for data to
be saved and referenced in a temporal sequence. This opens many new possibilities in …

Predictive modeling of various systems around the world is extremely essential from the
physics and engineering perspectives. The recognition of different systems and the capacity …

This article discusses the mission performance of regional aircraft with hybrid-electric
propulsion. The performance analyses are provided by mission simulations tools specifically …

This review paper addresses the critical need for structural prognostics and health
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …

Prognostic and health management (PHM) plays a vital role in ensuring the safety and
reliability of aircraft systems. The process entails the proactive surveillance and evaluation of …