Results 181 to 190 of about 80,914 (224)

A Multimodal Gated Recurrent Unit Neural Network Model for Damage Assessment in CFRP Composites Based on Lamb Waves and Minimal Sensing

IEEE Transactions on Instrumentation and Measurement
Carbon fiber-reinforced polymer (CFRP) composites are widely used in aerospace due to their outstanding mechanical properties. However, composite damage detection and localization techniques based on minimal actuator–receiver sensing pairs are still ...
Zhuang Long, Kai Luo, Zhibo Yang
semanticscholar   +1 more source

A Fault-Targeted Gated Recurrent Unit-Canonical Correlation Analysis Method for Incipient Fault Detection

IEEE Transactions on Industrial Informatics
To solve the problem of incipient fault detection, a fault targeted gated recurrent unit-canonical correlation analysis (CCA) method is proposed. First, this article proposed fault targeted gated recurrent unit (FTGRU) to establish a temporal feature ...
Bing Song, Chen Zheng, Yuting Jin, Hong-bo Shi, Yang Tao, Shuai Tan   +5 more
semanticscholar   +1 more source

Remaining Useful Life Prediction for Bearings Based on a Gated Recurrent Unit

IEEE Transactions on Instrumentation and Measurement, 2021
Bearing is a key component in rotary machines. Their failures may cause the abrupt shutdown of these machines, which would result in substantial economic losses.
Zijun Que, Xiaohang Jin, Zhengguo Xu
semanticscholar   +1 more source

The application of gated recurrent unit algorithm with fused attention mechanism in UWB indoor localization

Measurement
. ABSTRACT Indoor positioning is the study of precise acquisition of the coordinates of mobile devices, individuals, or objects within enclosed indoor spaces.
Yalin Tian, Zengzeng Lian, M. Amparo Núñez-Andrés, Zhe Yue, Kezhao Li, Penghui Wang, Mengqi Wang   +6 more
semanticscholar   +1 more source

SDIGRU: Spatial and Deep Features Integration Using Multilayer Gated Recurrent Unit for Human Activity Recognition

IEEE Transactions on Computational Social Systems
Smart video surveillance plays a significant role in public security via storing a huge amount of continual stream data, evaluates them, and generates warns where undesirable human activities are performed.
Tariq Ahmad, Jinsong Wu
semanticscholar   +1 more source

On Using Gated Recurrent Units for Nonlinear System Identification

2019 18th European Control Conference (ECC), 2019
During recent years Deep Learning (DL) methods facilitated impressive progress on various fields of research: Deep Convolutional Neural Networks (CNN) enabled object classification with to this day unmatched precision, while state of the art results in speech recognition and natural language processing (NLP) were achieved via gated units such as the ...
Alexander Rehmer, Andreas Kroll
openaire   +1 more source

Applying gated recurrent units pproaches for workload prediction

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, 2018
Resource scheduling is a key technology of cloud computing. In order to manage the resources in cloud efficiently, it is necessary to use workload prediction techniques for resource management. There are some workload's prediction algorithms for this problem, but they all have problems with accuracy and computational efficiency.
Yanghu Guo, Wenbin Yao
openaire   +1 more source

Faster Gated Recurrent Units via Conditional Computation

2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016
In this work, we apply the idea of conditional computation to the gated recurrent unit (GRU), a type of recurrent activation function. With slight modifications to the GRU, the number of floating point operations required to calculate the feed-forward pass through the network may be significantly reduced.
Andrew S. Davis, Itamar Arel
openaire   +1 more source

Text Implication Recognition Learning with Gated Recurrent Unit

Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018
As an important basic task in natural language processing, textual entailment recognition has practical applications in QA, information retrieval IR, information extraction and many other tasks. The traditional methods of text imputation include mainly classification methods based on artificial features, methods based on word similarity, and so on ...
Guo Xianjing, Yong Li 0037
openaire   +1 more source

Image Captioning Using Gated Recurrent Units

2020
With the introduction of deep neural networks, there has been an increase in its usage due to its high-performance capabilities and its ability to deliver astounding results when classifying and predicting images, audio, and text. Image captioning allows machines to view images like how humans do and provide them with the knowledge and power to ...
Jagadish Nayak, Yatharth Kher, Sarthak Sethi   +2 more
openaire   +1 more source