Saved in:
| Main Authors: | Fordjour, George K., Kalyanapu, Alfred J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.10375 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Open-Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting
by: Velarde, Gissel, et al.
Published: (2025)
by: Velarde, Gissel, et al.
Published: (2025)
VECTOR: Velocity-Enhanced GRU Neural Network for Real-Time 3D UAV Trajectory Prediction
by: Nacar, Omer, et al.
Published: (2024)
by: Nacar, Omer, et al.
Published: (2024)
Neural Networks with LSTM and GRU in Modeling Active Fires in the Amazon
by: Tavares, Ramon, et al.
Published: (2024)
by: Tavares, Ramon, et al.
Published: (2024)
Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction
by: Yang, Yue, et al.
Published: (2025)
by: Yang, Yue, et al.
Published: (2025)
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)
by: Zhu, Peng, et al.
Published: (2024)
FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction
by: Chirukiri, Varun Teja, et al.
Published: (2025)
by: Chirukiri, Varun Teja, et al.
Published: (2025)
The Merit of River Network Topology for Neural Flood Forecasting
by: Kirschstein, Nikolas, et al.
Published: (2024)
by: Kirschstein, Nikolas, et al.
Published: (2024)
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
by: Bhaumik, Kishor Kumar, et al.
Published: (2022)
by: Bhaumik, Kishor Kumar, et al.
Published: (2022)
Automated SNOMED CT Concept Annotation in Clinical Text Using Bi-GRU Neural Networks
by: Noori, Ali, et al.
Published: (2025)
by: Noori, Ali, et al.
Published: (2025)
MC-GRU:a Multi-Channel GRU network for generalized nonlinear structural response prediction across structures
by: He, Shan, et al.
Published: (2025)
by: He, Shan, et al.
Published: (2025)
Depression Detection Based on Electroencephalography Using a Hybrid Deep Neural Network CNN-GRU and MRMR Feature Selection
by: Yousefi, Mohammad Reza, et al.
Published: (2026)
by: Yousefi, Mohammad Reza, et al.
Published: (2026)
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
by: Xiao, Jue, et al.
Published: (2024)
by: Xiao, Jue, et al.
Published: (2024)
Research on Metro Transportation Flow Prediction Based on the STL-GRU Combined Model
by: Zhou, Zijie, et al.
Published: (2025)
by: Zhou, Zijie, et al.
Published: (2025)
Neural Networks for Extreme Quantile Regression with an Application to Forecasting of Flood Risk
by: Pasche, Olivier C., et al.
Published: (2022)
by: Pasche, Olivier C., et al.
Published: (2022)
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization
by: Jhin, Sheo Yon, et al.
Published: (2024)
by: Jhin, Sheo Yon, et al.
Published: (2024)
Towards Migrating Neural Network Implementations
by: Daoudi, Nadia, et al.
Published: (2025)
by: Daoudi, Nadia, et al.
Published: (2025)
Nerva: a Truly Sparse Implementation of Neural Networks
by: Wesselink, Wieger, et al.
Published: (2024)
by: Wesselink, Wieger, et al.
Published: (2024)
MSGAT-GRU: A Multi-Scale Graph Attention and Recurrent Model for Spatiotemporal Road Accident Prediction
by: Pinjala, Thrinadh, et al.
Published: (2025)
by: Pinjala, Thrinadh, et al.
Published: (2025)
Map-Based Path Loss Prediction in Multiple Cities Using Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2024)
by: Dempsey, Ryan G., et al.
Published: (2024)
DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling
by: Acosta, Carlo Malapad, et al.
Published: (2025)
by: Acosta, Carlo Malapad, et al.
Published: (2025)
Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems
by: Wu, You, et al.
Published: (2024)
by: Wu, You, et al.
Published: (2024)
A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices
by: Mahdi, Esam, et al.
Published: (2025)
by: Mahdi, Esam, et al.
Published: (2025)
Intelligent DoS and DDoS Detection: A Hybrid GRU-NTM Approach to Network Security
by: Panggabean, Caroline, et al.
Published: (2025)
by: Panggabean, Caroline, et al.
Published: (2025)
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks
by: Alruqimi, Mohammed, et al.
Published: (2024)
by: Alruqimi, Mohammed, et al.
Published: (2024)
CONFINE: Conformal Prediction for Interpretable Neural Networks
by: Huang, Linhui, et al.
Published: (2024)
by: Huang, Linhui, et al.
Published: (2024)
Convolutional Spiking-based GRU Cell for Spatio-temporal Data
by: Abdennadher, Yesmine, et al.
Published: (2025)
by: Abdennadher, Yesmine, et al.
Published: (2025)
Bi-GRU Based Deception Detection using EEG Signals
by: Avola, Danilo, et al.
Published: (2025)
by: Avola, Danilo, et al.
Published: (2025)
Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation
by: Gordon, David C., et al.
Published: (2023)
by: Gordon, David C., et al.
Published: (2023)
HaorFloodAlert: Deseasonalized ML Ensemble for 72-Hour Flood Prediction in Bangladesh Haor Wetlands
by: Koli, Salma Hoque Talukdar, et al.
Published: (2026)
by: Koli, Salma Hoque Talukdar, et al.
Published: (2026)
MinGRU-Based Encoder for Turbo Autoencoder Frameworks
by: Fritschek, Rick, et al.
Published: (2025)
by: Fritschek, Rick, et al.
Published: (2025)
GRU-D Characterizes Age-Specific Temporal Missingness in MIMIC-IV
by: Giesa, Niklas, et al.
Published: (2024)
by: Giesa, Niklas, et al.
Published: (2024)
Research and Implementation of Data Enhancement Techniques for Graph Neural Networks
by: Gu, Jingzhao, et al.
Published: (2024)
by: Gu, Jingzhao, et al.
Published: (2024)
Predictive Modeling of Flood-Prone Areas Using SAR and Environmental Variables
by: Awino, Edwin Oluoch, et al.
Published: (2025)
by: Awino, Edwin Oluoch, et al.
Published: (2025)
Predicting Household Water Consumption Using Satellite and Street View Images in Two Indian Cities
by: Wang, Qiao, et al.
Published: (2025)
by: Wang, Qiao, et al.
Published: (2025)
Deep Neural Networks with 3D Point Clouds for Empirical Friction Measurements in Hydrodynamic Flood Models
by: Haces-Garcia, Francisco, et al.
Published: (2024)
by: Haces-Garcia, Francisco, et al.
Published: (2024)
GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs
by: Wang, Yue, et al.
Published: (2025)
by: Wang, Yue, et al.
Published: (2025)
Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions
by: Na, Gyuyeon, et al.
Published: (2025)
by: Na, Gyuyeon, et al.
Published: (2025)
Inductive Power Grid Cascading Failure Analysis with GRU-Gated Graph Attention
by: Zhou, Tianxin, et al.
Published: (2026)
by: Zhou, Tianxin, et al.
Published: (2026)
PREIG: Physics-informed and Reinforcement-driven Interpretable GRU for Commodity Demand Forecasting
by: Ma, Hongwei, et al.
Published: (2025)
by: Ma, Hongwei, et al.
Published: (2025)
Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation
by: Freire, Pedro, et al.
Published: (2024)
by: Freire, Pedro, et al.
Published: (2024)
Similar Items
-
An Open-Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting
by: Velarde, Gissel, et al.
Published: (2025) -
VECTOR: Velocity-Enhanced GRU Neural Network for Real-Time 3D UAV Trajectory Prediction
by: Nacar, Omer, et al.
Published: (2024) -
Neural Networks with LSTM and GRU in Modeling Active Fires in the Amazon
by: Tavares, Ramon, et al.
Published: (2024) -
Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction
by: Yang, Yue, et al.
Published: (2025) -
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)