RYAN AERONAUTICAL STM

An Ice Christmas Tree: Fast Three-Dimensional Printing of Ice Structures via Evaporative Cooling in Vacuum

We demonstrate a novel approach to three-dimensional (3D) printing of freeform ice structures by exploiting evaporative cooling.

Multi-Strategy Improved Snake Optimizer Accelerated CNN-LSTM-Attention-Adaboost for Trajectory Prediction

To address the limitations of medium- and long-term four-dimensional (4D) trajectory prediction models, this paper proposes a hybrid CNN-LSTM-attention-adaboost neural network model incorporating a mu…

Empowering Precision Forecasting: Self-Supervised LSTM for Hourly Pressure and Temperature Prediction

The most important parts of any flight are landing and takeoff, and an aircraft's takeoff configuration must balance the regulated takeoff weight, runway length, and weather conditions to ensure a saf…

A bidirectional deep LSTM machine learning method for flight delay modelling and analysis

Flight delays can be prevented by providing a reference point from an accurate prediction model because predicting flight delays is a problem with a specific space.

A Deep BiLSTM Machine Learning Method for Flight Delay Prediction Classification

This paper proposes a classification approach for flight delays using Bidirectional Long Short-Term Memory (BiLSTM) and Long Short-Term Memory (LSTM) models.

Research on Aviation Safety Prediction Based on Variable Selection and LSTM

Accurate prediction of aviation safety levels is significant for the efficient early warning and prevention of incidents. However, the causal mechanism and temporal character of aviation accidents are…