IEEE

ABi-LSTM: Attention-Based Bidirectional-LSTM for Multiclass Traffic Agents Trajectory Prediction

Abstract: This study proposes the Attention-Based Bidirectional Long Short-Term Memory (ABi-LSTM) model for multimodal trajectory prediction of multiclass traffic agents in cross-perspective scenarios ...
IEEE

TDNet: Bidirectional LSTM Gated Triple-Decoder Network for Remote Sensing Change Detection

Abstract: Remote sensing change detection (CD) identifies land-use/land-cover changes by analyzing multi-temporal imagery. Mainstream methods employ siamese multi-level encoders and a single ...
GitHub

Experimental LSTM + Multi-Head Attention Model + LLM decoding strategies for Football Commentary Generation

This repository contains a PyTorch implementation of a sequence-to-sequence model for football commentary generation from a structured events & stats input. The model utilizes Bi-directional LSTM ...
Scientific Research Publishing

Huang, Z.H., et al. (2015) Bidirectional LSTM-CRF Models for Sequence Tagging. arXiv: 1508.01991.

ABSTRACT: With the continuous development of artificial intelligence and natural language processing technologies, traditional retrieval-augmented generation (RAG) techniques face numerous challenges ...
Scientific Research Publishing

Seabe, P.L., Moutsinga, C.R.B. and Pindza, E. (2023) Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach. Fractal and ...

ABSTRACT: A comparative analysis of deep learning models and traditional statistical methods for stock price prediction uses data from the Nigerian stock exchange. Historical data, including daily ...