LSTM Model

Long Short-Term Memory (LSTM) networks are a type of recurrent neural network designed to effectively process sequential data by addressing the vanishing gradient problem, enabling them to learn long-term dependencies. Current research focuses on applying LSTMs to diverse prediction tasks, including financial markets, environmental modeling, healthcare diagnostics, and natural language processing, often in hybrid architectures combining LSTMs with convolutional neural networks or transformers to improve accuracy and robustness. The widespread applicability of LSTMs across various domains highlights their significance in advancing machine learning capabilities and their potential for impactful real-world applications.

Papers

November 14, 2024

Improvement and Implementation of a Speech Emotion Recognition Model Based on Dual-Layer LSTM
Xiaoran Yang, Shuhan Yu, Wenxi Xu
Practical Implementation Large Relevance Improvement LSTM Model

November 6, 2024

Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer
Language Model Context Learning Generative Modeling Individual Representation LSTM Model

October 23, 2024

Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model
Xintao Li, Sibei Liu, Dezhi Yu, Yang Zhang, Xiaoyu Liu
Human Prediction DCU Insight AQ LSTM Network Patient Friendly Language Patient Data LSTM Model Readmission Prediction Hospital Readmission

October 20, 2024

Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
Jue Xiao, Tingting Deng, Shuochen Bi
Transformer Model LSTM Network LSTM Model Stock Price Prediction Stock Market Price Prediction Stock Trend Trend Prediction GRU Net

September 20, 2024

Time Distributed Deep Learning models for Purely Exogenous Forecasting. Application to Water Table Depth Prediction using Weather Image Time Series
Matteo Salis, Abdourrahmane M. Atto, Stefano Ferraris, Rosa Meo
Deep Learning Model Time Series Time Matter LSTM Model Groundwater Flow Convolutional LSTM

September 19, 2024

Prediction of Brent crude oil price based on LSTM model under the background of low-carbon transition
Yuwen Zhao, Baojun Hu, Sizhe Wang
Human Prediction LSTM Model Oil Well Accurate Energy Crude Oil Energy Transition

September 3, 2024

1DCNNTrans: BISINDO Sign Language Interpreters in Improving the Inclusiveness of Public Services
Muchammad Daniyal Kautsar, Ridwan Akmal, Afra Majida Hariono
LSTM Network Sign Language Sign Language Recognition LSTM Model Local Level Professional Sign Language Interpreter

August 11, 2024

A Comparative Study of Convolutional and Recurrent Neural Networks for Storm Surge Prediction in Tampa Bay
Mandana Farhang Ghahfarokhi, Seyed Hossein Sonbolestan, Mahta Zamanizadeh
Recurrent Neural Network Comparative Study Deep Convolutional Neural Network LSTM Network Neural Network Architecture LSTM Model CNN LSTM Storm Surge

June 28, 2024

Comparative Analysis of LSTM Neural Networks and Traditional Machine Learning Models for Predicting Diabetes Patient Readmission
Abolfazl Zarghani
Machine Learning Model Comparative Study LSTM Network LSTM Model Predictive Healthcare Patient Readmission

June 6, 2024

Modeling of New Energy Vehicles' Impact on Urban Ecology Focusing on Behavior
Run-Xuan Tang
Global Impact BEHAVIOR Explanation Electric Vehicle LSTM Model Behavior Analysis Sequence Data

May 31, 2024

Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysis
Ke Xu, Yu Cheng, Shiqing Long, Junjie Guo, Jue Xiao, Mengfang Sun
Neural Network Comparative Study Random Forest LSTM Network Risk Prediction LSTM Model

May 28, 2024

A Deep Neural Network Approach to Fare Evasion
Johannes van der Vyver
Deep Learning Approach LSTM Model Fare Evasion

May 23, 2024

Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels
Nida Nasir, Mustafa Sameer, Feras Barneih, Omar Alshaltone, Muneeb Ahmed
LSTM Network Time Frequency PPG Signal LSTM Model Blood Pressure Deep Learning Classification Photoplethysmography Signal

May 22, 2024

Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach
Andrew Estornell, Stylianos Loukas Vasileiou, William Yeoh, Daniel Borrajo, Rui Silva
LSTM Network State Space LSTM Model Next Activity Prediction Customer Behavior

May 13, 2024

Comparative Study of Bitcoin Price Prediction
Ali Mohammadjafari
Comparative Study LSTM Model Cryptocurrency Price Bitcoin Price

May 3, 2024

Forecasting Ferry Passenger Flow Using Long-Short Term Memory Neural Networks
Daniel Fesalbon
Long Short Term Memory LSTM Network LSTM Model Passenger Flow Prediction

March 24, 2024

CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming Data
Shreya Sharma, Dana Hughes, Katia Sycara
Neural Network Model Image Classification Task LSTM Model Robust Classification Streaming Data Traditional Neural Network

March 15, 2024

Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model
Saket Maheshwari, Sambhav Tiwari, Shyam Rai, Satyam Vinayak Daman Pratap Singh
Random Forest Support Vector Machine Comprehensive Study Classification Model Industry Assignment LSTM Model Machine Condition Monitoring

March 8, 2024

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans
Maleka Khatun, Md Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Md. Alamin Talukder, Md Ashraf Uddin
Deep Learning Long Short Term Memory Convolution Layer LSTM Model Hybrid Convolutional MRI Scan

March 3, 2024

Multi-level Product Category Prediction through Text Classification
Wesley Ferreira Maia, Angelo Carmignani, Gabriel Bortoli, Lucas Maretti, David Luz, Daniel Camilo Fuentes Guzman, Marcos Jardel Henriques, Francisco Louzada Neto
Text Classification BERT Model LSTM Network E Commerce LSTM Model

LSTM Model

Papers

Improvement and Implementation of a Speech Emotion Recognition Model Based on Dual-Layer LSTM

Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences

Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model

Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction

Time Distributed Deep Learning models for Purely Exogenous Forecasting. Application to Water Table Depth Prediction using Weather Image Time Series

Prediction of Brent crude oil price based on LSTM model under the background of low-carbon transition

1DCNNTrans: BISINDO Sign Language Interpreters in Improving the Inclusiveness of Public Services

A Comparative Study of Convolutional and Recurrent Neural Networks for Storm Surge Prediction in Tampa Bay

Comparative Analysis of LSTM Neural Networks and Traditional Machine Learning Models for Predicting Diabetes Patient Readmission

Modeling of New Energy Vehicles' Impact on Urban Ecology Focusing on Behavior

Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysis

A Deep Neural Network Approach to Fare Evasion

Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels

Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach

Comparative Study of Bitcoin Price Prediction

Forecasting Ferry Passenger Flow Using Long-Short Term Memory Neural Networks

CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming Data

Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans

Multi-level Product Category Prediction through Text Classification