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[HTML][HTML] Recurrent neural networks: A comprehensive review of architectures, variants, and applications
Recurrent neural networks (RNNs) have significantly advanced the field of machine learning
(ML) by enabling the effective processing of sequential data. This paper provides a …
(ML) by enabling the effective processing of sequential data. This paper provides a …
Semantic Aware Environment Spatial-Temporal Graph Transformer: A Single-Agent Multi-Class Trajectory Prediction Framework
S Mcmurray - 2024 - diva-portal.org
Trajectory Prediction (TP) plays a pivotal role across various domains, transforming
navigation and interaction within complex environments. This study introduces the Semantic …
navigation and interaction within complex environments. This study introduces the Semantic …
Analysis of Deep Learning Model for Trajectory Prediction of Vehicle
Abstract In this research, Long Short-Term Memory (LSTM) model and Gated Recurrent Unit
Model (GRU) have been applied to the open-source HighD dataset to check the trajectory …
Model (GRU) have been applied to the open-source HighD dataset to check the trajectory …