IEEE

A Sensitive LSTM Model for High Accuracy Zero-Inflated Time-Series Prediction

Abstract: The prevalence of zero values in zero-inflated time-series (ZI-TS) data poses significant challenges for traditional LSTM networks in learning long-term dependencies and trends. Specifically ...
sciencex

LSTM Professor Richard Pleass wins Prix de l'Innovation 2013

Professor Pleass' project deals with the development of Hexagard™, a biomimetic to replace intravenous immunoglobulin (IVIG) therapy for treating autoimmune diseases. The winner of the prize was ...
GitHub

caiosaldanha/bitcoin-lstm-api

Este projeto implementa uma API REST completa para predição de preços de Bitcoin usando redes neurais LSTM (Long Short-Term Memory). A aplicação inclui treinamento de modelo, predições em tempo real, ...
GitHub

Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference

This repo contains the matlab codes to reproduce the results for the paper: Vuong, Nguyen & Goulet (2024), Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference ...
IEEE

An LSTM and ANN Fusion Dynamic Model of a Proton Exchange Membrane Fuel Cell

Abstract: A proton exchange membrane fuel cell (PEMFC) has great application prospects due to its low emission and high efficiency. An accurate model to predict the dynamic output voltage is essential ...
syncedreview

LSTM Is Back! A Deep Implementation of the Decades-old Architecture Challenges ViTs on Long Sequence Modelling

In less than two years since their introduction, vision transformers (ViT) have revolutionized the computer vision field, leveraging transformer architectures’ powerful self-attention mechanisms to ...