LSTM Network

Long Short-Term Memory (LSTM) networks are a type of recurrent neural network designed to process sequential data, excelling at tasks requiring the retention of long-term dependencies. Current research focuses on improving LSTM performance through hybrid architectures (e.g., combining LSTMs with Convolutional Neural Networks or Transformers), optimizing model parameters, and addressing challenges like overfitting and computational cost in diverse applications. LSTMs' ability to model temporal patterns makes them valuable tools across numerous fields, including time series forecasting (weather, finance, energy), natural language processing, and signal processing, leading to advancements in areas like predictive maintenance and healthcare.

Papers

August 22, 2024

Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approach
Zecheng Zhang
Long Short Term Memory LSTM Network Time Series Data Smart Grid Recurrent Transformer Grid World

August 11, 2024

August 8, 2024

Improved Adaboost Algorithm for Web Advertisement Click Prediction Based on Long Short-Term Memory Networks
Qixuan Yu, Xirui Tang, Feiyang Li, Zinan Cao
Long Short Term Memory LSTM Network Accidental Click Adaboost Algorithm Click Prediction

August 5, 2024

Deciphering Air Travel Disruptions: A Machine Learning Approach
Aravinda Jatavallabha, Jacob Gerlach, Aadithya Naresh
Time Series LSTM Network Machine Learning Approach Bi LSTM Flight Delay Delay Prediction

July 27, 2024

A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention
Pouya Shaeri, Ali Katanforoush
Semi Supervised Learning Self Attention Fake News LSTM Network Fake News Detection Unlabeled Data

July 14, 2024

xLSTMTime : Long-term Time Series Forecasting With xLSTM
Musleh Alharthi, Ausif Mahmood
Transformer Based Transformer Based Model LSTM Network Long Term Time Series Forecasting

July 2, 2024

Indian Stock Market Prediction using Augmented Financial Intelligence ML
Anishka Chauhan, Pratham Mayur, Yeshwanth Sai Gokarakonda, Pooriya Jamie, Naman Mehrotra
Machine Learning Model LSTM Network Stock Price Prediction Price Prediction Stock Market Prediction Financial Reinforcement Learning Bidirectional LSTM

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 18, 2024

Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers
Haowei Ni, Shuchen Meng, Xieming Geng, Panfeng Li, Zhuoying Li, Xupeng Chen, Xiaotong Wang, Shiyao Zhang
Deep Learning Deep Learning Model Transformer Megatron Decepticons Time Series LSTM Network Real World Clinical Heart Rate Estimation Integrated Moving Average

June 11, 2024

Towards Generalized Hydrological Forecasting using Transformer Models for 120-Hour Streamflow Prediction
Bekir Z. Demiray, Ibrahim Demir
Transformer Model LSTM Network Streamflow Prediction

June 10, 2024

Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM
Kazi Fuad Bin Akhter, Sadia Mobasshira, Saief Nowaz Haque, Mahjub Alam Khan Hesham, Tanvir Ahmed
Convolutional Neural Network Long Short Term Memory LSTM Network Load Forecasting Forecasting Performance Mid Term Electricity

June 5, 2024

A Combination Model for Time Series Prediction using LSTM via Extracting Dynamic Features Based on Spatial Smoothing and Sequential General Variational Mode Decomposition
Jianyu Liu, Wei Chen, Yong Zhang, Zhenfeng Chen, Bin Wan, Jinwei Hu
Long Short Term Memory LSTM Network Time Series Prediction Dynamic Feature Variational Mode Decomposition Model Combination Sale Forecast

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 30, 2024

On Vessel Location Forecasting and the Effect of Federated Learning
Andreas Tritsarolis, Nikos Pelekis, Konstantina Bereta, Dimitris Zissis, Yannis Theodoridis
Mixed Effect LSTM Network Maritime Surveillance Vessel Trajectory Inland Waterway

May 27, 2024

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 14, 2024

Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models
Yiluan Xing, Chao Yan, Cathy Chang Xie
LSTM Network Financial Market Stock Price Forecasting GARCH Model Integrated Moving Average AI Revolution Intraday Market NVIDIA Open Model License Agreement

LSTM Network

Papers

Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approach

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

Predicting Chaotic System Behavior using Machine Learning Techniques

Improved Adaboost Algorithm for Web Advertisement Click Prediction Based on Long Short-Term Memory Networks

Deciphering Air Travel Disruptions: A Machine Learning Approach

A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention

xLSTMTime : Long-term Time Series Forecasting With xLSTM

Indian Stock Market Prediction using Augmented Financial Intelligence ML

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

Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers

Towards Generalized Hydrological Forecasting using Transformer Models for 120-Hour Streamflow Prediction

Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM

A Combination Model for Time Series Prediction using LSTM via Extracting Dynamic Features Based on Spatial Smoothing and Sequential General Variational Mode Decomposition

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

On Vessel Location Forecasting and the Effect of Federated Learning

Deep Learning Calabi-Yau four folds with hybrid and recurrent neural network architectures

Time Elastic Neural Networks

Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels

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

Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models