Results 221 to 230 of about 276,034 (269)

Gru��wort

2021
ICOMOS Hefte des Deutschen Nationalkomitees, Bd.
Krismanek, Hans-Bernd, Kowalski, Josef
  +8 more sources

A Novel STFSA-CNN-GRU Hybrid Model for Short-Term Traffic Speed Prediction

IEEE transactions on intelligent transportation systems (Print), 2023
Short-term traffic speed prediction is fundamental to intelligent transportation systems (ITS), and the accuracy of the model largely determines the performance of real-time traffic control and management.
Changxi Ma, Yongpeng Zhao, G. Dai, X. Xu, S. Wong   +4 more
semanticscholar   +1 more source

Remaining Useful Life Prediction for Lithium-Ion Batteries With a Hybrid Model Based on TCN-GRU-DNN and Dual Attention Mechanism

IEEE Transactions on Transportation Electrification, 2023
The instability of lithium-ion batteries may result in system operation failure and cause safety accidents, thus predicting the remaining useful life (RUL) accurately is helpful for reducing the risk of battery failure and extending its useful life.
Lei Li, Yuanjiang Li, Runze Mao, Li Li, Wenbo Hua, Jinglin Zhang   +5 more
semanticscholar   +1 more source

Gru��worte

2021
ICOMOS Hefte des Deutschen Nationalkomitees, Bd.
  +6 more sources

A novel RFE-GRU model for diabetes classification using PIMA Indian dataset

Scientific Reports
Diabetes is a long-term condition characterized by elevated blood sugar levels. It can lead to a variety of complex disorders such as stroke, renal failure, and heart attack.
M. Shams, Zahraa Tarek, Ahmed M. Elshewey   +2 more
semanticscholar   +1 more source

Short and Long-Term Renewable Electricity Demand Forecasting Based on CNN-Bi-GRU Model

IECE Transactions on Emerging Topics in Artificial Intelligence
With the increasing global focus on renewable energy and the growing proportion of renewable power in the energy mix, accurate forecasting of renewable power demand has become crucial.
Shuchen Zhao, Zhongjin Xu, Zhefan Zhu, Xiaoxiang Liang, Zecheng Zhang, Ruxue Jiang   +5 more
semanticscholar   +1 more source

LSTM and GRU Neural Network Performance Comparison Study: Taking Yelp Review Dataset as an Example

2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI), 2020
Long short-term memory networks(LSTM) and gate recurrent unit networks(GRU) are two popular variants of recurrent neural networks(RNN) with long-term memory. This study compares the performance differences of these two deep learning models, involving two
Shudong Yang, Xueying Yu, Ying Zhou
semanticscholar   +1 more source

VANET Network Traffic Anomaly Detection Using GRU-Based Deep Learning Model

IEEE transactions on consumer electronics
The rise of Vehicular Ad-hoc Networks (VANETs) has led to the growing significance in intelligent transportation systems. This research suggests a deep learning model for anomaly detection based on GRU over VANET network traffic to address this challenge.
Ghayth AlMahadin, Yassine Aoudni, Mohammad Shabaz, Anurag Vijay Agrawal, Ghazaala Yasmin, E. Alomari, Hamza Mohammed Ridha Al-Khafaji, Debabrata Dansana, R. R. Maaliw   +8 more
semanticscholar   +1 more source

Gru��wort

2022
AKMB-news: Informationen zu Kunst, Museum und Bibliothek, Bd. 26 Nr.
  +4 more sources

A GNSS/INS Integrated Navigation Compensation Method Based on CNN–GRU + IRAKF Hybrid Model During GNSS Outages

IEEE Transactions on Instrumentation and Measurement
The integrated navigation system, which consists of the global navigation satellite system (GNSS) and inertial navigation system (INS), is widely used in various platforms.
Xiaoliang Meng, Hongbin Tan, Peihui Yan, Qiyuan Zheng, Geng Chen, Jinguang Jiang   +5 more
semanticscholar   +1 more source