Cargando…

Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers

Human activity recognition (HAR) by wearable sensor devices embedded in the Internet of things (IOT) can play a significant role in remote health monitoring and emergency notification to provide healthcare of higher standards. The purpose of this study is to investigate a human activity recognition...

Descripción completa

Detalles Bibliográficos
Autores principales:	Abid, Mariem, Khabou, Amal, Ouakrim, Youssef, Watel, Hugo, Chemcki, Safouene, Mitiche, Amar, Benazza-Benyahia, Amel, Mezghani, Neila
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309563/ https://www.ncbi.nlm.nih.gov/pubmed/34300453 http://dx.doi.org/10.3390/s21144713

Ejemplares similares

Knee Joint Biomechanical Gait Data Classification for Knee Pathology Assessment: A Literature Review
por: Abid, Mariem, et al.
Publicado: (2019)

An analysis of 3D knee kinematic data complexity in knee osteoarthritis and asymptomatic controls
por: Mezghani, Neila, et al.
Publicado: (2018)

An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension
por: Marnissi, Yosra, et al.
Publicado: (2018)

Classifying high-dimensional phenotypes with ensemble learning
por: Devine, Jay, et al.
Publicado: (2023)

Biomechanical markers associations with pain, symptoms, and disability compared to radiographic severity in knee osteoarthritis patients: a secondary analysis from a cluster randomized controlled trial
por: Bensalma, Fatima, et al.
Publicado: (2022)

eccCL: parallelized GPU implementation of Ensemble Classifier Chains
por: Riemenschneider, Mona, et al.
Publicado: (2017)

A multivariate relationship between the kinematic and clinical parameters of knee osteoarthritis population
por: Bensalma, Fatima, et al.
Publicado: (2019)

Prediction of plant lncRNA by ensemble machine learning classifiers
por: Simopoulos, Caitlin M. A., et al.
Publicado: (2018)

An Adaptive Heterogeneous Online Learning Ensemble Classifier for Nonstationary Environments
por: Museba, Tinofirei, et al.
Publicado: (2021)

A stacking ensemble classifier-based machine learning model for classifying pollution sources on photovoltaic panels
por: Khan, Prince Waqas, et al.
Publicado: (2023)

Single classifier vs. ensemble machine learning approaches for mental health prediction
por: Chung, Jetli, et al.
Publicado: (2023)

Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification
por: Walid, Md. Abul Ala, et al.
Publicado: (2023)

Prediction of diabetes disease using an ensemble of machine learning multi-classifier models
por: Abnoosian, Karlo, et al.
Publicado: (2023)

Diagnosis of Alzheimer’s Disease with Ensemble Learning Classifier and 3D Convolutional Neural Network
por: Zhang, Peng, et al.
Publicado: (2021)

Optimization-Based Ensemble Feature Selection Algorithm and Deep Learning Classifier for Parkinson's Disease
por: Sabeena, B., et al.
Publicado: (2022)

An Ensemble of Transfer Learning Models for the Prediction of Skin Cancers with Conditional Generative Adversarial Networks
por: Al-Rasheed, Amal, et al.
Publicado: (2022)

Binaural Acoustic Scene Classification Using Wavelet Scattering, Parallel Ensemble Classifiers and Nonlinear Fusion
por: Hajihashemi, Vahid, et al.
Publicado: (2022)

Quantum ensembles of quantum classifiers
por: Schuld, Maria, et al.
Publicado: (2018)

MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers
por: Kang, Jaeyong, et al.
Publicado: (2021)

Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes
por: Pourreza Shahri, Morteza, et al.
Publicado: (2021)

Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning
por: Visuña, Lara, et al.
Publicado: (2022)

Machine Learning-Based Ensemble Classifiers for Anomaly Handling in Smart Home Energy Consumption Data
por: Kasaraneni, Purna Prakash, et al.
Publicado: (2022)

Deep Learning-Based Ensembling Technique to Classify Alzheimer's Disease Stages Using Functional MRI
por: Tajammal, Taliah, et al.
Publicado: (2023)

Ensemble modeling with machine learning and deep learning to provide interpretable generalized rules for classifying CNS drugs with high prediction power
por: Yu, Tzu-Hui, et al.
Publicado: (2021)

Incorporating CNN Features for Optimizing Performance of Ensemble Classifier for Cardiovascular Disease Prediction
por: Rustam, Furqan, et al.
Publicado: (2022)

Predicting lung adenocarcinoma disease progression using methylation-correlated blocks and ensemble machine learning classifiers
por: Yu, Xin, et al.
Publicado: (2021)

Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
por: Shaik, Nagur Shareef, et al.
Publicado: (2022)

RETRACTED ARTICLE: An ensemble deep learning classifier for sentiment analysis on code-mix Hindi–English data
por: Pradhan, Rahul, et al.
Publicado: (2022)

A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier
por: Amin, Javeria, et al.
Publicado: (2022)

An ensemble machine learning model based on multiple filtering and supervised attribute clustering algorithm for classifying cancer samples
por: Bose, Shilpi, et al.
Publicado: (2021)

Identifying Non-Math Students from Brain MRIs with an Ensemble Classifier Based on Subspace-Enhanced Contrastive Learning
por: Liu, Shuhui, et al.
Publicado: (2022)

Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble
por: Yenkikar, Anuradha, et al.
Publicado: (2022)

Deep learning and radiomic feature-based blending ensemble classifier for malignancy risk prediction in cystic renal lesions
por: He, Quan-Hao, et al.
Publicado: (2023)

Deviation-support based fuzzy ensemble of multi-modal deep learning classifiers for breast cancer prognosis prediction
por: Arya, Nikhilanand, et al.
Publicado: (2023)

Ensemble of a subset of kNN classifiers
por: Gul, Asma, et al.
Publicado: (2016)

Comprehensive benchmarking and ensemble approaches for metagenomic classifiers
por: McIntyre, Alexa B. R., et al.
Publicado: (2017)

Stacking Ensemble Technique for Classifying Breast Cancer
por: Kwon, Hyunjin, et al.
Publicado: (2019)

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier
por: Zahoora, Umme, et al.
Publicado: (2022)

Ensemble learning from ensemble docking: revisiting the optimum ensemble size problem
por: Mohammadi, Sara, et al.
Publicado: (2022)

Statistical mechanics of ensemble learning
por: Krogh, A, et al.
Publicado: (1997)

Cannot write session to /tmp/vufind_sessions/sess_or6ihn9bpb8cc45ec0u5533mna