Nature

Robust displacement estimation from filament-based soft sensors using a parallel attention-enhanced LSTM for rehabilitation monitoring

Accurate time-series prediction from soft sensor signals is essential for sensor-driven rehabilitation systems, yet remains challenging due to sensor noise, nonlinear dynamics, and complex temporal ...
Nature

Remote sensing-based landslide prediction and risk assessment using a hybrid CNN–LSTM deep learning model

Landslide susceptibility assessment is essential for risk mitigation in regions affected by complex terrain and variable environmental conditions. This study proposes a hybrid deep learning framework ...