A LSTM surrogate modelling approach for caisson foundations
Sign Up to like & getrecommendations! 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… read more here.
Keywords: modelling approach; caisson foundations; lstm based; surrogate modelling ... See more keywords
Bidirectional LSTM-Based Soft Sensor for Rotor Displacement Trajectory Estimation
Sign Up to like & getrecommendations! 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… read more here.
Keywords: based soft; soft sensor; rotor; lstm based ... See more keywords
LSTM-Based Energy-Efficient Wireless Communication With Reconfigurable Intelligent Surfaces
Sign Up to like & getrecommendations! 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… read more here.
Keywords: energy efficacy; based energy; energy; lstm based ... See more keywords
LSTM-Based Auto-Encoder Model for ECG Arrhythmias Classification
Sign Up to like & getrecommendations! 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… read more here.
Keywords: ecg arrhythmias; lstm based; arrhythmias classification; ecg ... See more keywords
A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation
Sign Up to like & getrecommendations! 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… read more here.
Keywords: lstm based; image; cnn lstm; based image ... See more keywords
KF-LSTM Based Beam Tracking for UAV-Assisted mmWave HSR Wireless Networks
Sign Up to like & getrecommendations! 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… read more here.
Keywords: beam; uav assisted; lstm based; hsr wireless ... See more keywords
LSTM-Based Deep Model for Investment Portfolio Assessment and Analysis
Sign Up to like & getrecommendations! 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… read more here.
Keywords: deep model; lstm based; based deep; investment ... See more keywords
MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides
Sign Up to like & getrecommendations! Published in 2022 at "Pharmaceuticals"
DOI: 10.3390/ph15060707
Abstract: Bioactive peptides are typically small functional peptides with 2–20 amino acid residues and play versatile roles in metabolic and biological processes. Bioactive peptides are multi-functional, so it is vastly challenging to accurately detect all their… read more here.
Keywords: activities bioactive; bioactive peptides; multi activities; lstm based ... See more keywords