Least square based ensemble deep learning for inertia tensor identification of combined spacecraft
Sign Up to like & getrecommendations! Published in 2020 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2020.106189
Abstract: Abstract The high accurate identification of inertia tensor of combined spacecraft, which is composed of a servicing spacecraft and a target, is necessary to perform attitude control. Due to the uncertainty of the operating environments… read more here.
Keywords: ensemble deep; combined spacecraft; inertia tensor; deep learning ... See more keywords
Physiological Feature Based Emotion Recognition via an Ensemble Deep Autoencoder with Parsimonious Structure
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1220
Abstract: Abstract Since the deep learning classifier has the capability to hierarchically abstract the useful information from the physiological signals, it receives more attention in human emotion recognition in recent studies. Considering the structure of the… read more here.
Keywords: ensemble deep; emotion recognition; recognition; autoencoder parsimonious ... See more keywords
Ensemble deep relevant learning framework for semi-supervised soft sensor modeling of industrial processes
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.07.086
Abstract: Abstract Deep learning has been growing in popularity for soft sensor modeling of nonlinear industrial processes, infeuality-related variables. However, applications may be highly nonlinear, and the quantity of labeled samples is considerably limited. The extraction… read more here.
Keywords: industrial processes; sensor modeling; ensemble deep; soft sensor ... See more keywords
SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues
Sign Up to like & getrecommendations! Published in 2024 at "Communications Biology"
DOI: 10.1038/s42003-024-06332-0
Abstract: Proteins and nucleic-acids are essential components of living organisms that interact in critical cellular processes. Accurate prediction of nucleic acid-binding residues in proteins can contribute to a better understanding of protein function. However, the discrepancy… read more here.
Keywords: nucleic acid; binding residues; ensemble deep; language ... See more keywords
Hybrid brain tumor classification of histopathology hyperspectral images by linear unmixing and an ensemble of deep neural networks
Sign Up to like & getrecommendations! Published in 2024 at "Healthcare Technology Letters"
DOI: 10.1049/htl2.12084
Abstract: Abstract Hyperspectral imaging has demonstrated its potential to provide correlated spatial and spectral information of a sample by a non‐contact and non‐invasive technology. In the medical field, especially in histopathology, HSI has been applied for… read more here.
Keywords: classification; brain; linear unmixing; ensemble deep ... See more keywords
An Innovative Ensemble Deep Learning Clinical Decision Support System for Diabetes Prediction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3436641
Abstract: Diabetes is a significant global health concern, with an increasing number of diabetic people at risk. It is considered a chronic disease and leads to a significant number of fatalities annually. Early prediction of diabetes… read more here.
Keywords: deep learning; ensemble deep; innovative ensemble; prediction ... See more keywords
Ensemble Deep Learning for Classifying Sleeping Posture of Humans Covered in Blankets Using RGB and Thermal Imaging
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3498049
Abstract: Accurate sleep posture monitoring plays a pivotal role in the diagnosis and treatment of a spectrum of sleep-related disorders, such as sleep apnea, restless leg syndrome, and rapid eye movement sleep behavior disorder. These disorders… read more here.
Keywords: deep learning; ensemble deep; rgb thermal; rgb ... See more keywords
A Dynamic Ensemble Deep Randomized Neural Network Using Deep Autoregressive Features for Wave Height Forecasting With Missing Values
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Oceanic Engineering"
DOI: 10.1109/joe.2025.3565103
Abstract: Wave energy is an essential part of sustainable energy. Precise forecasts of wave height assist in the reliable control of wave energy converters and the intelligent operation of electricity generation. However, the severe and extreme… read more here.
Keywords: deep autoregressive; autoregressive features; ensemble deep; dynamic ensemble ... See more keywords
Graph embedded ensemble deep randomized network for diagnosis of Alzheimer's disease.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3202707
Abstract: Randomized shallow/deep neural networks with closed form solution avoid the shortcomings that exist in the back propagation (BP) based trained neural networks. Ensemble deep random vector functional link (edRVFL) network utilize the strength of two… read more here.
Keywords: graph embedded; alzheimer disease; ensemble deep; diagnosis alzheimer ... See more keywords
Ensemble Deep Neural Network for Automatic Classification of EEG Independent Components
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3154891
Abstract: Objective: Independent component analysis (ICA) is commonly used to remove noisy artifacts from multi-channel scalp electroencephalogram (EEG) signals. ICA decomposes EEG into different independent components (ICs) and then, experts remove the noisy ones. This process… read more here.
Keywords: neural network; ensemble deep; independent components; deep neural ... See more keywords
Public health nurse perspectives on predicting nonattendance for cervical cancer screening through classification, ensemble, and deep learning models.
Sign Up to like & getrecommendations! Published in 2024 at "Public health nursing"
DOI: 10.1111/phn.13334
Abstract: OBJECTIVES Women's attendance to cervical cancer screening (CCS) is a major concern for healthcare providers in community. This study aims to use the various algorithms that can accurately predict the most barriers of women for… read more here.
Keywords: deep learning; learning models; ensemble deep; cervical cancer ... See more keywords