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

September 25, 2023

LogGPT: Log Anomaly Detection via GPT
Xiao Han, Shuhan Yuan, Mohamed Trabelsi
Anomaly Detection LSTM Network GPT Neo Log Anomaly Detection

September 23, 2023

September 21, 2023

Video Scene Location Recognition with Neural Networks
Lukáš Korel, Petr Pulc, Jiří Tumpach, Martin Holeňa
Neural Network LSTM Network Pre Trained Convolutional Neural Network Video Sequence Scene Recognition Bidirectional LSTM Scene Detection

September 6, 2023

Students Success Modeling: Most Important Factors
Sahar Voghoei, James M. Byars, Scott Jackson King, Soheil Shapouri, Hamed Yaghoobian, Khaled M. Rasheed, Hamid R. Arabnia
Deep Learning Model LSTM Network Structured Dropout Student Model Student Performance Prediction Individual Prediction

August 26, 2023

DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series
Chaoqun Wang, Yijun Li, Xiangqian Sun, Qi Wu, Dongdong Wang, Zhixiang Huang
Time Series Recurrent Neural Network LSTM Network Standard LSTM Long Term Effect

August 19, 2023

SwinLSTM:Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM
Song Tang, Chuang Li, Pu Zhang, RongNian Tang
LSTM Network Temporal Dependency Swin Transformer Spatiotemporal Prediction Standard LSTM

August 15, 2023

Finding Stakeholder-Material Information from 10-K Reports using Fine-Tuned BERT and LSTM Models
Victor Zitian Chen
BERT Model LSTM Network Fine Tuned BERT Financial Report Material Data Efficient BERT

August 13, 2023

An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM
Sanad Aburass, Osama Dorgham, Maha Abu Rumman
Natural Language Processing Transformer Based LSTM Network Question Answering System Ensemble Approach Question Classification GloVe Wearing Hand

August 10, 2023

ReLU and Addition-based Gated RNN
Rickard Brännvall, Henrik Forsgren, Fredrik Sandin, Marcus Liwicki
Recurrent Neural Network LSTM Network Long Term Memory Gated Recurrent Unit ReLU Layer

August 8, 2023

Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction
Izzeddin Teeti, Rongali Sai Bhargav, Vivek Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin
LSTM Network Action Prediction DiNO Mix Video Task Self Supervised Video

July 24, 2023

A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe
Sanad Aburass, Osama Dorgham, Jamil Al Shaqsi
LSTM Network CNN Network Cancer Diagnosis Hybrid Machine Learning Personalized Medicine Isocitrate Dehydrogenase Mutation

July 19, 2023

TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition
Isabel Funke, Dominik Rivoir, Stefanie Krell, Stefanie Speidel
Self Attention Attention Mechanism LSTM Network Surgical Phase Recognition Temporal GNN

July 15, 2023

Political Sentiment Analysis of Persian Tweets Using CNN-LSTM Model
Mohammad Dehghani, Zahra Yazdanparast
Sentiment Analysis LSTM Network CNN LSTM Twitter Sentiment News Sentiment Persian Tweet

July 11, 2023

Hybrid hidden Markov LSTM for short-term traffic flow prediction
Agnimitra Sengupta, Adway Das, S. Ilgin Guler
Recurrent Neural Network Long Short Term Memory LSTM Network Efficient Hybrid Traffic Flow Prediction Traffic Dynamic Short Term Traffic

June 27, 2023

A Novel Two Stream Decision Level Fusion of Vision and Inertial Sensors Data for Automatic Multimodal Human Activity Recognition System
Santosh Kumar Yadav, Muhtashim Rafiqi, Egna Praneeth Gummana, Kamlesh Tiwari, Hari Mohan Pandey, Shaik Ali Akbara
Convolutional Neural Network Vision Paper LSTM Network Long Form Novel Fall Detection Human Activity Recognition Inertial Data Decision Level Fusion

June 23, 2023

Abstractive Text Summarization for Resumes With Cutting Edge NLP Transformers and LSTM
Öykü Berfin Mercan, Sena Nur Cavsak, Aysu Deliahmetoglu, Senem Tanberk
Natural Language Processing Text Summarization LSTM Network Abstractive Text Summarization Resume Job Resume Dataset

June 22, 2023

A Comparison of Time-based Models for Multimodal Emotion Recognition
Ege Kesim, Selahattin Serdar Helli, Sena Nur Cavsak
Emotion Recognition Multi Modal Consistent Comparison LSTM Network Time Varying Multimodal Emotion Recognition Sequence Model

June 9, 2023

Everybody Compose: Deep Beats To Music
Conghao Shen, Violet Z. Yao, Yixin Liu
LSTM Network Deep Learning Approach Music Industry Form Like Document Rhythm Game Novel Task Rhythmic Pattern

May 29, 2023

Building Accurate Low Latency ASR for Streaming Voice Search
Abhinav Goyal, Nikesh Garera
Neural Network Automatic Speech Recognition LSTM Network Automatic Speech Recognition System