Results 71 to 80 of about 80,914 (224)

Hierarchical Gated Recurrent Unit with Semantic Attention for Event Prediction

open access: yesFuture Internet, 2020
Event prediction plays an important role in financial risk assessment and disaster warning, which can help government decision-making and economic investment.
Zichun Su, Jialin Jiang
doaj   +1 more source

An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction

open access: yesJournal of Advanced Transportation, 2022
Accurate traffic prediction is a powerful factor of intelligent transportation systems to make assisted decisions. However, existing methods are deficient in modeling long series spatio-temporal characteristics. Due to the complex and nonlinear nature of
Shanchun Zhao, Xu Li
doaj   +1 more source

Fault Classification of a Blade Pitch System in a Floating Wind Turbine Based on a Recurrent Neural Network

open access: yes한국해양공학회지, 2021
This paper describes a recurrent neural network (RNN) for the fault classification of a blade pitch system of a spar-type floating wind turbine. An artificial neural network (ANN) can effectively recognize multiple faults of a system and build a training
Seongpil Cho, Jongseo Park, Minjoo Choi
doaj   +1 more source

Two-Stream RNN/CNN for Action Recognition in 3D Videos

open access: yes, 2018
The recognition of actions from video sequences has many applications in health monitoring, assisted living, surveillance, and smart homes. Despite advances in sensing, in particular related to 3D video, the methodologies to process the data are still ...
Ali, Haider   +2 more
core   +1 more source

XDOcc: An Explainable Artificial Intelligence Empowered Deep Framework for Occupancy Detection and Occupant Count Estimation

open access: yesIEEE Access
This study introduces explainable deep occupancy, a robust framework empowered by explainable artificial intelligence for high-accuracy occupancy detection and occupant count estimation in smart buildings.
Zeynep Turgut
doaj   +1 more source

Simplified minimal gated unit variations for recurrent neural networks [PDF]

open access: yes2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017
5 pages, 3 Figures, 5 ...
Joel C. Heck, Fathi M. Salem
openaire   +2 more sources

Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network

open access: yesIEEE Access, 2021
To fully mine the relationship between temporal features in load data, improve the accuracy and efficiency of short-term load forecasting and overcome the difficulties caused by load nonlinearity and volatility in accurate load forecasting. In this paper,
Hanhong Shi   +5 more
doaj   +1 more source

Malware Detection Based on API Call Sequence Analysis: A Gated Recurrent Unit-Generative Adversarial Network Model Approach

open access: yesFuture Internet
Malware remains a major threat to computer systems, with a vast number of new samples being identified and documented regularly. Windows systems are particularly vulnerable to malicious programs like viruses, worms, and trojans.
N. Owoh   +5 more
semanticscholar   +1 more source

Uncertainty quantification-based framework for predicting degradation trends of proton exchange membrane fuel cell

open access: yesGreen Energy and Intelligent Transportation
Accurately predicting the degradation trends of proton exchange membrane fuel cells (PEMFCs) can provide a solid basis for optimizing the control of vehicles and stations based on PEMFCs.
Bingxin Guo   +6 more
doaj   +1 more source

Wireless Channel Prediction of GRU Based on Experience Replay and Snake Optimizer

open access: yesSensors, 2023
Aiming at the problem of poor prediction accuracy of Channel State Information (CSI) caused by fast time-varying channels in wireless communication systems, this paper proposes a gated recurrent network based on experience replay and Snake Optimizer for ...
Qingli Liu   +4 more
doaj   +1 more source

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