Results 61 to 70 of about 80,914 (224)
Aircraft Engine Bleed Valve Prognostics Using Multiclass Gated Recurrent Unit
Aerospace, 2023 Prognostics and health management is an engineering discipline that aims to support system operation while ensuring maximum safety and performance. Prognostics is a key step of this framework, focusing on developing effective maintenance policies based ...
Marcia L. Baptista, Helmut Prendinger
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Pouring Dynamics Estimation Using Gated Recurrent Units
CoRR, 2021 7 pages, 8 figures, 4 ...
openaire +2 more sources
AIMS Mathematics, 2023 Energy operations and schedules are significantly impacted by load and energy forecasting systems. An effective system is a requirement for a sustainable and equitable environment.
Fazeel Abid +3 more
semanticscholar +1 more source
Learning to trade autonomously in stocks and shares: integrating uncertainty into trading strategies
Autonomous Intelligent SystemsMachine learning, a revolutionary and advanced technology, has been widely applied in the field of stock trading. However, training an autonomous trading strategy which can effectively balance risk and Return On Investment without human supervision in ...
Yuyang Li, Minghui Liwang, Li Li
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A Modified Gated Recurrent Unit Approach for Epileptic Electroencephalography Classification
Journal of ICT, 2023 Epilepsy is one of the most severe non-communicable brain disorders associated with sudden attacks. Electroencephalography (EEG), a non-invasive technique, records brain activities, and these recordings are routinely used for the clinical evaluation of ...
Vinod Prakash, Dharmender Kumar
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IEEE Access, 2019 For most deep learning practitioners, recurrent networks are often used for sequence modeling. However, recent researches indicate that convolutional architectures may be used to optimize recurrent networks on some machine translation tasks.
Zhelin Huang +4 more
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Learning language through pictures
, 2015 We propose Imaginet, a model of learning visually grounded representations of language from coupled textual and visual input. The model consists of two Gated Recurrent Unit networks with shared word embeddings, and uses a multi-task objective by ...
Alishahi, Afra +2 more
core +1 more source
Minion gated recurrent unit for continual learning
NeurocomputingThe increasing demand for continual learning in sequential data processing has led to progressively complex training methodologies and larger recurrent network architectures. Consequently, this has widened the knowledge gap between continual learning with recurrent neural networks (RNNs) and their ability to operate on devices with limited memory and ...
Abdullah M. Zyarah +1 more
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Fuzzy sets complement-based gated recurrent unit [PDF]
, 2021 Grant PID2019-108392GB-I00 funded by MCIN/AEI/10.13039/501100011033 and by Tracasa Instrumental and the Immigration Policy and Justice Department of the Government of Navarre.
Mikel Ferrero-Jaurrieta +5 more
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Deep Learning-Based Sentiment Analysis Using Gated Recurrent Unit
Andalasian International Journal of Applied Science, Engineering, and TechnologyIn today’s volatile financial markets, investor sentiment plays a crucial role in shaping market dynamics and influencing investment decisions. Traditional analytical methods often fail to capture the subtle emotional cues embedded in vast amounts of ...
Najeem Olawale Adelakun +1 more
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