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

November 8, 2024

Video RWKV:Video Action Recognition Based RWKV
Zhuowen Yin, Chengru Li, Xingbo Dong
LSTM Network Video Understanding Task Video Action Recognition Video Analysis Receptance Weighted Key Value

November 5, 2024

Carbon price fluctuation prediction using blockchain information A new hybrid machine learning approach
H. Wang, Y. Pang, D. Shang
LSTM Network Hybrid Machine Learning Dilated Convolutional Neural Network

November 3, 2024

Performance Evaluation of Deep Learning Models for Water Quality Index Prediction: A Comparative Study of LSTM, TCN, ANN, and MLP
Muhammad Ismail, Farkhanda Abbas, Shahid Munir Shah, Mahmoud Aljawarneh, Lachhman Das Dhomeja, Fazila Abbas, Muhammad Shoaib, Abdulwahed Fahad Alrefaei, Mohammed Fahad Albeshr
Deep Learning Model Human Prediction LSTM Network Predictive Model Water Quality

October 23, 2024

October 22, 2024

packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
Rohit Agarwal, Karaka Prasanth Naidu, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
LSTM Network Feature Space Link Stream Streaming Data

October 20, 2024

TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA-LSTM Forecasting model
Shirong Zheng, Shaobo Liu, Zhenhong Zhang, Dian Gu, Chunqiu Xia, Huadong Pang, Enock Mintah Ampaw
LSTM Network Energy Consumption Energy Efficiency Forecasting Model Probability Simplex Energy Prediction

October 14, 2024

ASTM :Autonomous Smart Traffic Management System Using Artificial Intelligence CNN and LSTM
Christofel Rio Goenawan, Har Dong-Soo
LSTM Network CNN Network Synthetic to Real Traffic Management Autonomous Traffic

October 12, 2024

Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions
Abdullah Mamun, Krista S. Leonard, Megan E. Petrov, Matthew P. Buman, Hassan Ghasemzadeh
Time Series Forecasting Emerging Opportunity LSTM Network Adaptive Intervention Multi Modal Trajectory Forecasting

October 4, 2024

Precision, Stability, and Generalization: A Comprehensive Assessment of RNNs learnability capability for Classifying Counter and Dyck Languages
Neisarg Dave, Daniel Kifer, Lee Giles, Ankur Mali
Strong Generalization Recurrent Neural Network LSTM Network Multidimensional Local Precision Rate Automatic Counting RNN Based Model

September 30, 2024

September 20, 2024

Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024
Carlo Metta, Marco Gregnanin, Andrea Papini, Silvia Giulia Galfrè, Andrea Fois, Francesco Morandin, Marco Fantozzi, Maurizio Parton
Long Short Term Memory LSTM Network Open Challenge Predictive Capability

September 17, 2024

American Sign Language to Text Translation using Transformer and Seq2Seq with LSTM
Gregorius Guntur Sunardi Putra, Adifa Widyadhani Chanda D'Layla, Dimas Wahono, Riyanarto Sarno, Agus Tri Haryono
Transformer Based Transformer Model Neural Machine Translation LSTM Network Sequence to Sequence Seq2seq Model Sign Language Translation Human Translation American Sign Language

September 14, 2024

Weather Prediction Using CNN-LSTM for Time Series Analysis: A Case Study on Delhi Temperature Data
Bangyu Li, Yang Qian
Case Study Long Short Term Memory LSTM Network Time Series Analysis Weather Forecasting CNN LSTM Temperature Prediction

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 23, 2024

Real-Time Posture Monitoring and Risk Assessment for Manual Lifting Tasks Using MediaPipe and LSTM
Ereena Bagga, Ang Yang
LSTM Network Risk Assessment Sitting POSTURE Posture Recognition Lifting Task Mediapipe Holistic

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

LSTM Network

Papers

Video RWKV:Video Action Recognition Based RWKV

Carbon price fluctuation prediction using blockchain information A new hybrid machine learning approach

Performance Evaluation of Deep Learning Models for Water Quality Index Prediction: A Comparative Study of LSTM, TCN, ANN, and MLP

Real time anomalies detection on video

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

packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space

TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA-LSTM Forecasting model

ASTM :Autonomous Smart Traffic Management System Using Artificial Intelligence CNN and LSTM

Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions

Precision, Stability, and Generalization: A Comprehensive Assessment of RNNs learnability capability for Classifying Counter and Dyck Languages

A Hierarchical conv-LSTM and LLM Integrated Model for Holistic Stock Forecasting

Modelando procesos cognitivos de la lectura natural con GPT-2

Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024

American Sign Language to Text Translation using Transformer and Seq2Seq with LSTM

Weather Prediction Using CNN-LSTM for Time Series Analysis: A Case Study on Delhi Temperature Data

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

Real-Time Posture Monitoring and Risk Assessment for Manual Lifting Tasks Using MediaPipe and LSTM

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