Babar Sattar Khan

Memory-enhanced temporal feature learning framework for improved underwater maneuvering target tracking.

Rapid trajectory shifts, complex kinetics, and strong measurement noise are major difficulties that arise in the tracking of underwater passive maneuvering targets. This study suggests an innovative framework of memory-augmented temporal features learning, based on a Long Short-Term Memory (LSTM) model, to overcome the...