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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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Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
| Sustainable Agriculture and Advances of Remote Sensing (Volume 1) |
| Autore | Paraforos Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (324 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
1D convolution neural networks
3D bale wrapping method 3D Convolutional Neural Network agricultural monitoring agriculture algorithms anomaly intrusion detection artificial neural network autonomous robots band selection Bidirectional long-short term memory Boufakrane River watershed canopy conductance CCA chlorophyll a chlorophyll-a concentration climate change clustering CNN coastal management Coatzacoalcos Comino computer vision convolutional neural networks Copernicus Sentinels crop classification crop fields crop mapping crop yield improvement crops crops diseases cubic SVM cucumber data analysis data augmentation data fusion deep learning deep transfer learning density estimation dissolved oxygen drone entropy environmental monitoring environmental protection equal bale dimensions evapotranspiration Explainable Artificial Intelligence Faster R-CNN features fusion food security forest roads geographic information system (GIS) GIS Google Earth Engine Gozo green ring green technologies guava disease histogram hyperparameter optimization hyperspectral hyperspectral imagery hyperspectral imaging hyperspectral remoting sensing IDS image classification internet of things Internet of Things internode-elongation Interreg invasive plants IoT IoT ecosystem irrigation requirements land use land use classification Land Use/Land Cover Landsat leaf disease LISS-III machine learning machine learning algorithm machine vision Malta mango leaf mathematical model metaheuristic minimal film consumption modeling modeling approach modified normalized difference water index (MNDWI) modular robot multi-temporal data multispectral natural resources NDVI nitrate nitrogen prediction normalized difference vegetation index (NDVI) object-based classification optimal bale dimensions ordinary kriging ordinary Kriging overfitting panicle initiation path planning penman-monteith equation pest control photogrammetry plant disease detection pocket beaches precision agriculture probe proximal sensing random forest rational sampling numbers remote sensing resource constraint RF rice farming rice plant round bales sampling SAR satellite image analysis selective spraying sensor Sentinel 1 and 2 Sentinel-1a Sentinel-2 Sicily simulation site-specific site-specific weed management smart agriculture soil attribute soil pH soil tillage spatial heterogeneity spatial variation sustainable agriculture sustainable environment sustainable land use SVM Synthetic Aperture Radar (SAR) systematic literature review temperature profile time series analysis transfer learning urban flood vein pattern virtual pests Vision Transformer vision-based crop and weed detection water extraction water quality water resources weed YOLOv5 Ziz basin |
| ISBN | 3-0365-5338-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
| Record Nr. | UNINA-9910619464703321 |
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Paraforos Dimitrios
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
| Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| Autore | Paraforos Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (322 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
1D convolution neural networks
3D bale wrapping method 3D Convolutional Neural Network agricultural monitoring agriculture algorithms anomaly intrusion detection artificial neural network autonomous robots band selection Bidirectional long-short term memory Boufakrane River watershed canopy conductance CCA chlorophyll a chlorophyll-a concentration climate change clustering CNN coastal management Coatzacoalcos Comino computer vision convolutional neural networks Copernicus Sentinels crop classification crop fields crop mapping crop yield improvement crops crops diseases cubic SVM cucumber data analysis data augmentation data fusion deep learning deep transfer learning density estimation dissolved oxygen drone entropy environmental monitoring environmental protection equal bale dimensions evapotranspiration Explainable Artificial Intelligence Faster R-CNN features fusion food security forest roads geographic information system (GIS) GIS Google Earth Engine Gozo green ring green technologies guava disease histogram hyperparameter optimization hyperspectral hyperspectral imagery hyperspectral imaging hyperspectral remoting sensing IDS image classification internet of things Internet of Things internode-elongation Interreg invasive plants IoT IoT ecosystem irrigation requirements land use land use classification Land Use/Land Cover Landsat leaf disease LISS-III machine learning machine learning algorithm machine vision Malta mango leaf mathematical model metaheuristic minimal film consumption modeling modeling approach modified normalized difference water index (MNDWI) modular robot multi-temporal data multispectral natural resources NDVI nitrate nitrogen prediction normalized difference vegetation index (NDVI) object-based classification optimal bale dimensions ordinary kriging ordinary Kriging overfitting panicle initiation path planning penman-monteith equation pest control photogrammetry plant disease detection pocket beaches precision agriculture probe proximal sensing random forest rational sampling numbers remote sensing resource constraint RF rice farming rice plant round bales sampling SAR satellite image analysis selective spraying sensor Sentinel 1 and 2 Sentinel-1a Sentinel-2 Sicily simulation site-specific site-specific weed management smart agriculture soil attribute soil pH soil tillage spatial heterogeneity spatial variation sustainable agriculture sustainable environment sustainable land use SVM Synthetic Aperture Radar (SAR) systematic literature review temperature profile time series analysis transfer learning urban flood vein pattern virtual pests Vision Transformer vision-based crop and weed detection water extraction water quality water resources weed YOLOv5 Ziz basin |
| ISBN | 3-0365-5336-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
| Record Nr. | UNINA-9910619464803321 |
|
Paraforos Dimitrios
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||