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Health and Public Health Applications for Decision Support Using Machine Learning
| Health and Public Health Applications for Decision Support Using Machine Learning |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (214 p.) |
| Soggetto non controllato |
action units
adult-onset dementia Alzheimer's disease artificial intelligence artificial neural network atherosclerosis audio visual blood glucose Cardiac health ChemProt colonies comparison between manual and automated image segmentation computerized diagnostic systems convolutional neural network COVID-19 COVID-19 detection COVID-19 severity assessment CPR (chemical-protein relation) CVD classification data selection DDI (drug-drug interaction) deep learning deep neural network diabetes discrimination Doppler ultrasound ECG emotion ensemble learning gait GAT (graph-attention network) group-based trajectory modeling hemodynamic modeling image processing infected lung segmentation internal carotid artery largest Lyapunov exponent (LyE) machine learning machine-learning models magnetic resonance imaging Measurement uncertainty Monte Carlo method movement synergy n/a neural networks neuromuscular control overground walking petri-plates pretrained model principal component analysis (PCA) quantification of lung disease severity relation extraction risk assessment tool RNN-LSTM screening strategy self-attention signal processing speech stress stroke subclinical renal damage T5 (text-to-text transfer transformer) time-series forecasting transfer learning transformer |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743269303321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Sensors for Human Motion Analysis
| Intelligent Sensors for Human Motion Analysis |
| Autore | Krzeszowski Tomasz |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (382 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
3D human mesh reconstruction
3D human pose estimation 3D multi-person pose estimation absolute poses action units aggregation function anomaly detection artifact classification artifact detection artificial intelligence assessment Azure Kinect balance Berg Balance Scale BILSTM biometrics camera-centric coordinates computer vision convolutional neural networks COVID-19 cyber-physical systems data augmentation deep learning deep neural network deep-learning development diagnosis elderly EMG F-Formation facial expression recognition facial landmarks fall risk detection features fusion features selection FFNN FMCW fuzzy inference gait analysis gait parameters gait recognition gap filling generalization graph convolutional networks grey wolf optimization GRU human action recognition human motion analysis human motion modelling human tracking Kinect v2 kinematics knowledge measure LSTM machine learning markerless markerless motion capture MFCC modular sensing unit motion capture movement tracking n/a neural networks optical sensing principle particle swarm optimization pattern recognition plantar pressure measurement pose estimation posture detection precedence indicator recognition reconstruction regularized discriminant analysis RGB-D sensors robot rule induction skeletal data socially occupied space telemedicine time series classification vital sign whale optimization algorithm XGBoost Zed 2i |
| ISBN | 3-0365-5074-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469003321 |
Krzeszowski Tomasz
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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