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Smart Sensors and Devices in Artificial Intelligence
| Smart Sensors and Devices in Artificial Intelligence |
| Autore | Zhang Dan |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (336 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive hedge algorithm
adaptive landing adverse weather air pollution air quality monitoring AIS ankle-foot exoskeleton artificial intelligence artificial neural network atmospheric data audification autonomous vehicle banana ripening cable tension measurement clamping force estimation CNN CO2 welding color histogram correlation filter data augmentation data fusion data processing data streams deep learning DenseNet distributed energy-efficient ethylene gas evacuation path FBG fruit condition monitoring fuzzy functional dependencies HF-OTH radar inertial measurement unit IoT joint torque disturbance observer landing gear link establishment behaviors local outlier factor long short term memory recurrent neural networks LSTM machine learning maritime surveillance mechanical sensor microelectromechanical systems molten pool multi-story multi-exit building multi-time-slots planning n/a online monitoring optimization outlier detection PSO-BPNN queue length radar tracking reliable RNN roadside LiDAR roadside sensor scenario generation self-adaptiveness sensor Sensors short-wave radio station signal recognition smart cities smart sensor and device smart sensors speech to text surgical robot end-effector task assignment temperature sensors text to speech traffic flow traffic forecasting unidimensional ACGAN vehicle classification vehicle detection visual tracking visualization walking assistance wireless sensor network wireless sensor networks |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557128403321 |
Zhang Dan
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Symmetry in Engineering Sciences
| Symmetry in Engineering Sciences |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (220 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D slicer
A* algorithm accessibility adaptive threshold aged Agustín de Betancourt anomaly detection asymmetry BP neural network broad learning model cathedral classification clustering Coalbrookdale (Shropshire) complex networks computer engineering computing applications conditional mutual information convexity/concavity edge preserving electrical circuits electronic devices energy dissipation environmental modeling evaluation model express shipment extension fault diagnosis feature interaction feature selection Fisher linear discriminant analysis flying buttresses friction damping geometric modeling geometry graphic modelling high order urban hospitals (HOUHs) Hilbert transform inclined plane industrial archaeology industrial heritage lifting wavelet linearization technique local data features local inflection local monotonicity local preserving projection mechanical structures mobile robot noise detector optimization optimization criteria optimum path planning path search peaks distribution railcar flow distribution railway network railway transportation rampant arch random forest random value impulse noise ring damper robots rolling bearings segmentation semi-supervised random forest sensitivity analysis service network design support vector machine symmetry synchronization thin-walled gear time-space network topology traffic congestion traffic control traffic forecasting trip impedance based on public transportation tumor urban traffic planning variational mode decomposition vibration virtual reconstruction weighted mean filter |
| ISBN | 3-03921-875-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367742303321 |
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Montoya Francisco G
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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