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Published in 2020 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2020.107263
Abstract: Abstract This study proposes a hybrid surrogate modelling approach with the integration of deep learning algorithm long short-term memory (LSTM) to identify the mechanical responses of caisson foundations in marine soils. The LSTM based surrogate…
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Keywords:
modelling approach;
caisson foundations;
lstm based;
surrogate modelling ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3136155
Abstract: Constant rotor system monitoring enables timely control and maintenance actions that decrease the likelihood of severe malfunctions and end product quality deficits. Soft sensors represent a promising branch of solutions enhancing rotor system monitoring. A…
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Keywords:
based soft;
soft sensor;
rotor;
lstm based ... See more keywords
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Published in 2024 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2024.3407192
Abstract: This paper investigates rate-splitting multiple access (RSMA) networks with multiusers assisted by aerial intelligent reflecting surfaces (AIRS). To improve the sum-rate of the system, the UAV’s trajectory and phase-shift vectors are optimized, in which the…
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Keywords:
phase shift;
lstm based;
phase;
rsma networks ... See more keywords
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Published in 2022 at "IEEE Transactions on Green Communications and Networking"
DOI: 10.1109/tgcn.2021.3135437
Abstract: A Reconfigurable Intelligent Surface is an eminent approach for improving the net data rate and maximizing the energy efficacy of wireless Base Stations (BS). Due to the vast number of surface elements, the task of…
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Keywords:
energy efficacy;
based energy;
energy;
lstm based ... See more keywords
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Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2019.2910342
Abstract: This paper introduces a novel deep learning-based algorithm that integrates a long short-term memory (LSTM)-based auto-encoder (AE) network with support vector machine (SVM) for electrocardiogram (ECG) arrhythmias classification. The LSTM-based AE network (LSTM-AE) is used…
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Keywords:
ecg arrhythmias;
lstm based;
arrhythmias classification;
ecg ... See more keywords
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Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3343741
Abstract: In this article, we propose a method of classifying the overhead target in automotive radar systems. The conventional automotive radar systems struggle to distinguish overhead road structures (e.g., bridges, overpasses, and traffic signs) and ground-level…
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Keywords:
overhead target;
lstm based;
radar systems;
radar ... See more keywords
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Published in 2020 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2019.2900426
Abstract: The video-based separation of foreground (FG) and background (BG) has been widely studied due to its vital role in many applications, including intelligent transportation and video surveillance. Most of the existing algorithms are based on…
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Keywords:
lstm based;
image;
cnn lstm;
based image ... See more keywords
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Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3187978
Abstract: Owing to the deployment flexibility, unmanned aerial vehicles (UAVs), equipped with lightweight base stations (BSs), provide a new paradigm for wireless access from the sky to temporarily complement terrestrial networks, which bring benefits to many…
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Keywords:
beam;
uav assisted;
lstm based;
hsr wireless ... See more keywords
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Published in 2022 at "Applied Bionics and Biomechanics"
DOI: 10.1155/2022/1852138
Abstract: In recent years, within the scope of financial quantification, quantitative investment models that support human-oriented algorithms have been proposed. These models attempt to characterize fiat-delayed series through intelligent acquaintance methods to predict data and arrange…
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Keywords:
deep model;
lstm based;
based deep;
investment ... See more keywords
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Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14072925
Abstract: Lamb-wave-based structural health monitoring is widely acknowledged as a reliable method for damage identification, classification, localization and quantification. However, due to the complexity of Lamb wave signals, especially after interacting with structural components and defects,…
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Keywords:
lamb wave;
lstm based;
overlap discrete;
maximal overlap ... See more keywords
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Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15042138
Abstract: Most of the processes with various dynamic characteristics can be reduced to the Second Order Plus Time Delay (SOPTD) model by using the model reduction method. We propose a novel hybrid approach that combines Long…
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Keywords:
time;
control;
controller;
lstm based ... See more keywords