GRU Net

GRU networks, a type of recurrent neural network, are being extensively explored for various sequence modeling tasks. Current research focuses on integrating GRUs into larger architectures, such as MultiResUNet for image segmentation and encoder-decoder models for tasks like handwritten mathematical expression recognition, often incorporating attention mechanisms to improve performance. These applications demonstrate GRU's effectiveness in handling temporal dependencies and complex data structures, leading to advancements in diverse fields including medical image analysis, robotics, and natural language processing. The resulting improvements in accuracy and efficiency have significant implications for automated diagnosis, improved robotic control, and enhanced information extraction from complex data sources.

Papers

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 25, 2024

MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
Peng Zhu, Yuante Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang
Graph Neural Network Stock Price Forecasting GRU Net Multi Head Cross Attention

July 22, 2024

HyperSurf: Quadruped Robot Leg Capable of Surface Recognition with GRU and Real-to-Sim Transferring
Sergei Satsevich, Yaroslav Savotin, Danil Belov, Elizaveta Pestova, Artem Erhov, Batyr Khabibullin, Artem Bazhenov, Vyacheslav Kovalev, Aleksey Fedoseev, Dzmitry Tsetserukou
Robot Person Legged Robot Quadrupedal Robot Real to Sim GRU Net Surface Recognition

June 12, 2024

GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation
Ayush Roy, Payel Pramanik, Sohom Ghosal, Daria Valenkova, Dmitrii Kaplun, Ram Sarkar
Image Segmentation Segmentation Performance Multi Resolution GRU Net Residual Dense Block

June 28, 2023

DenseBAM-GI: Attention Augmented DeneseNet with momentum aided GRU for HMER
Aniket Pal, Krishna Pratap Singh
Encoder Decoder Architecture Residual Momentum Attention Based Deep Handwritten Mathematical Expression GRU Net

April 13, 2023

Deep Learning-based Fall Detection Algorithm Using Ensemble Model of Coarse-fine CNN and GRU Networks
Chien-Pin Liu, Ju-Hsuan Li, En-Ping Chu, Chia-Yeh Hsieh, Kai-Chun Liu, Chia-Tai Chan, Yu Tsao
Ensemble Model Coarse to Fine Fall Detection CNN LSTM Winter Related Fall Injury GRU Net

March 22, 2023

Traffic Volume Prediction using Memory-Based Recurrent Neural Networks: A comparative analysis of LSTM and GRU
Lokesh Chandra Das
Comparative Study LSTM Network Traffic Prediction Traffic Datasets Traffic Flow Urban Traffic Heterogeneous Traffic Traffic Volume Prediction GRU Net

December 16, 2022

Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models
Saad Emshagin, Wayes Koroni Halim, Rasha Kashef
Long Short Term Memory Energy Consumption Gated Recurrent Unit Prediction Method Short Term Prediction Electricity Consumption GRU Net

May 4, 2022

GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data
Ningtao Liu, Ruoxi Gao, Jing Yuan, Calire Park, Shuwei Xing, Shuiping Gou
Electronic Health Record Multivariate Approach Patient Representation EHR Datasets Recurrent Unit Clinical Time Series GRU Net

March 31, 2022

Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU
Suyu Ouyang, Yingxia Shao, Junping Du, Ang Li
Entity Recognition Knowledge Extraction Relationship Extraction Entity Relation Extraction GRU Net

February 15, 2022

Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model
Ying Shen, Huiyu Yang, Lin Lin
Depression Detection Depression Dataset Speech Emotion Corpus BiLSTM CNN CRF GRU Net

GRU Net

Papers

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

MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU

HyperSurf: Quadruped Robot Leg Capable of Surface Recognition with GRU and Real-to-Sim Transferring

GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation

DenseBAM-GI: Attention Augmented DeneseNet with momentum aided GRU for HMER

Deep Learning-based Fall Detection Algorithm Using Ensemble Model of Coarse-fine CNN and GRU Networks

Traffic Volume Prediction using Memory-Based Recurrent Neural Networks: A comparative analysis of LSTM and GRU

Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models

GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data

Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU

Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model