Smart Sensors and Devices in Artificial Intelligence |
Autore | Zhang Dan |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (336 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
microelectromechanical systems
inertial measurement unit long short term memory recurrent neural networks artificial intelligence deep learning CNN LSTM CO2 welding molten pool online monitoring mechanical sensor self-adaptiveness ankle-foot exoskeleton walking assistance visual tracking correlation filter color histogram adaptive hedge algorithm scenario generation autonomous vehicle smart sensor and device wireless sensor networks task assignment distributed reliable energy-efficient audification sensor visualization speech to text text to speech HF-OTH radar AIS radar tracking data fusion fuzzy functional dependencies maritime surveillance surgical robot end-effector clamping force estimation joint torque disturbance observer PSO-BPNN cable tension measurement queue length roadside sensor vehicle detection adverse weather roadside LiDAR data processing air pollution atmospheric data IoT machine learning RNN Sensors smart cities traffic flow traffic forecasting wireless sensor network fruit condition monitoring artificial neural network ethylene gas banana ripening unidimensional ACGAN signal recognition data augmentation link establishment behaviors DenseNet short-wave radio station landing gear adaptive landing vehicle classification FBG smart sensors outlier detection local outlier factor data streams air quality monitoring evacuation path multi-story multi-exit building temperature sensors multi-time-slots planning optimization |
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 | ||
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Lo trovi qui: Univ. Federico II | ||
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Symmetry in Mechanical Engineering |
Autore | Glowacz Adam |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (372 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
traveling waves
vibration stability self-excited vibration thin spur gear variational mode decomposition signal analysis time-frequency analysis center frequency method of double thresholds Hilbert transform finite-time control terminal sliding mode chattering neural network thin-walled structures higher-order deformation modes identification doubly symmetric cross-sections shell-like deformation dual mass flywheel absolute sensitivity relative sensitivity torsional vibration spring Dempster's rule evidence distance pattern recognition maritime surveillance customer needs bad parameters core problems design process conceptual design time-varying P-type IL method MFA control imprecise probability active control piezoelectric cantilever plate image processing particle distribution rolling bearings Fault diagnosis second-order tristable stochastic resonance seeker optimization algorithm output signal-to-noise ratio global optimization meta-heuristic butterfly optimization algorithm cross-entropy method engineering design problems grinding rheology breakage parameters relative viscosity tool wear state CNN BiLSTM attention mechanism signal features vibrations symmetries two-engine vehicle rear clutch front clutch vibration modes granulation on-line monitoring fertilizers parallel robot minimally invasive procedures algebraic modeling Study parameters fractional damping vibration dynamic behaviour hybrid mechanism helicopter abrasive belt grinding predictive model regression material removal electric vehicles PMSM auxiliary slot response surface methodology |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557134803321 |
Glowacz Adam
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Wissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung |
Autore | Fischer Yvonne |
Pubbl/distr/stampa | KIT Scientific Publishing, 2016 |
Descrizione fisica | 1 electronic resource (XVI, 217 p. p.) |
Collana | Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe |
Soggetto non controllato |
data fusion
dynamic Bayesian networks SituationsbewusstseinSituation assessment maritime surveillance maritime Überwachung Situationsanalyse Datenfusion situation awareness dynamische Bayes’sche Netze |
ISBN | 1000051065 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Record Nr. | UNINA-9910346775403321 |
Fischer Yvonne
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KIT Scientific Publishing, 2016 | ||
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Lo trovi qui: Univ. Federico II | ||
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