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Deep Learning Applications with Practical Measured Results in Electronics Industries
| Deep Learning Applications with Practical Measured Results in Electronics Industries |
| Autore | Kung Hsu-Yang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (272 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
A*
background model binary classification CNN compressed sensing computational intelligence content reconstruction convolutional network data fusion data partition deep learning digital shearography discrete wavelet transform dot grid target eye-tracking device faster region-based CNN forecasting foreign object GA gated recurrent unit generative adversarial network geometric errors geometric errors correction GSA-BP human computer interaction humidity sensor hyperspectral image classification image compression image inpainting image restoration imaging confocal microscope Imaging Confocal Microscope information measure instance segmentation intelligent surveillance intelligent tire manufacturing K-means clustering kinematic modelling lateral stage errors Least Squares method long short-term memory machine learning MCM uncertainty evaluation multiple constraints multiple linear regression multivariate temporal convolutional network multivariate time series forecasting neighborhood noise reduction network layer contribution neural audio caption neural networks neuro-fuzzy systems nonlinear optimization offshore wind optimization techniques oral evaluation recommender system reinforcement learning residual networks rigid body kinematics saliency information smart grid supervised learning tire bubble defects tire quality assessment trajectory planning transfer learning UAV underground mines unmanned aerial vehicle unsupervised learning update mechanism update occasion visual tracking |
| ISBN | 3-03928-864-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080403321 |
Kung Hsu-Yang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning-Based Machinery Fault Diagnostics
| Deep Learning-Based Machinery Fault Diagnostics |
| Autore | Chen Hongtian |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (290 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues History of engineering and technology |
| Soggetto non controllato |
abnormal case removal
alumina concentration aluminum reduction process anti-noise attention mechanism autonomous underwater vehicle auxiliary model Bayesian network bearing fault detection belief rule base canonical correlation analysis canonical variate analysis case-based reasoning convolution fusion convolutional neural network data augmentation data-driven deep residual network distributed predictive control disturbance detection dynamic autoregressive latent variables model dynamics event-triggered control evidential reasoning evidential reasoning rule fault detection fault diagnosis fault tolerant control filter flywheel fault diagnosis fractional-order calculus theory fuzzy fault tree analysis gated recurrent unit gearbox fault diagnosis hammerstein output-error systems high-speed trains information transformation intelligent fault diagnosis interval type-2 Takagi-Sugeno fuzzy model just-in-time learning k-nearest neighbor analysis local outlier factor LSSVM multi-innovation identification theory n/a nonlinear networked systems ocean currents operational optimization parameter optimization power transmission system process monitoring PSO robust optimization sintering process spatiotemporal feature fusion stacked pruning sparse denoising autoencoder state identification statistical local analysis subspace identification system modelling thruster fault diagnostics variable time lag wavelet mutation |
| ISBN | 3-0365-5174-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469103321 |
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Chen Hongtian
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modeling and Optimal Operation of Hydraulic, Wind and Photovoltaic Power Generation Systems
| Modeling and Optimal Operation of Hydraulic, Wind and Photovoltaic Power Generation Systems |
| Autore | Li Chaoshun |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (212 p.) |
| Soggetto topico |
Physics
Research and information: general |
| Soggetto non controllato |
'S' characteristics
1D-3D coupling model active power anomaly detection approximate entropy cascaded reservoirs change point detection chaotic particle swarms method comprehensive deterioration index cosine similarity degradation trend prediction doubly-fed variable speed pumped storage power station doubly-fed variable-speed pumped storage ensemble empirical mode decomposition facility agriculture fractional order PID controller (FOPID) gated recurrent unit high proportional renewable power system Hopf bifurcation hybrid system hydraulic oil viscosity hydraulic PTO hydro power hydropower units light gradient boosting machine long and short-term neural network low water head conditions maximal information coefficient maximum information coefficient multi-objective optimization noise reduction nonlinear modeling nonlinear pump turbine characteristics operation strategy parameter sensitivity power yield pressure pulsation pumped storage unit pumped storage units pumped storage units (PSUs) reliability seasonal price sensitivity analysis sparrow search algorithm stability analysis stochastic dynamic programming (SDP) successive start-up thermal-hydraulic characteristics transition stability variational mode decomposition wave energy converter |
| ISBN | 3-0365-5838-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637780603321 |
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Li Chaoshun
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Process Modeling in Pyrometallurgical Engineering
| Process Modeling in Pyrometallurgical Engineering |
| Autore | Saxen Henrik |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (642 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D molecular model
adaptive finite differences analysis tool angle of repose apparent activation energy arrhenius equation arsenate arsenic recovery arsenic removal arsenopyrite artificial intelligence basic oxygen furnace biomass blast furnace blast furnace hearth BOS reactor bubble motion burden distribution burden layer structure burden pile width C-H2 smelting reduction furnace carbon solution loss CFD CFD-DEM charcoal combustion rate charging system coalescence coke coke bed coke combustion rate combustion computational fluid dynamics computational fluid dynamics (CFD) conjugate heat transfer coordination number copper smelter copper smelting COREX COREX melter gasifier coupling effect Cr2O3 crystal size dead man decarburization DEM dimensional analysis Discrete Element Method discrete event simulation double impingement feeding system double-row side nozzles drainage dual gas injection dust ash dynamic model EAF electric arc furnace Electric Arc Furnace electrical energy consumption entrainment Eulerian multiphase flow fault detection and identification flat rolling flat-rolled wire flow behavior flow pattern fuel injection funneling flow gas flow gated recurrent unit genetic algorithm GPR hearth hearth drainage heating time horizontal single belt casting process (HSBC) hot rolling hot rolling planning Industry 4.0 interfacial phenomena ion-molecule coexistence theory iron and slag flow iron ore sintering process ironmaking blast furnace kinetic models LF refining slags Lignite lining wear liquid iron machine learning macroscopic shear bands main trough mass transfer coefficient mathematical model mathematical modeling matte-slag chemistry mechanism microwave and ultrasound modification mixed charging mixing time molten slag monomer blended fuel moving path multiple linear regression n/a natural gas neural network nickel-based alloy nickel-copper smelter normal pressure numerical model numerical simulation oxygen bottom blown oxygen consumption particle flow pattern PCA Peirce-smith converting pellet pile physical modeling porosity distribution prediction model process model processing maps quasi-particle quasi-particle fuel quasi-particle structure raceway evolution raceway size raceway zone radar data radiometric sensors RAFT refractory roasting roll design scrap melting secondary refining segregation models settling shape rolling Shuikoushan process simulation SKS slag entrapment slag eye solidification SPH spinel stainless steel slag statistical modeling steel refining steelmaking strain inhomogeneity structural characterization structural simulation supersonic coherent jet support vector data description tapholes temperature distribution thermodynamic model time sequence prediction TiN inclusion tire cord steel titanium distribution ratio TOU electricity pricing transient fluid of hot metal and molten slag trickle flow validation wall shear stress water model wire rod |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557580503321 |
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Saxen Henrik
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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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Wearable Sensors Applied in Movement Analysis
| Wearable Sensors Applied in Movement Analysis |
| Autore | Buisseret Fabien |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (154 p.) |
| Soggetto topico | Medical equipment and techniques |
| Soggetto non controllato |
6 min walking test
artificial intelligence balance assessment Bayesian neural network camera system carving cerebral palsy choreoathetosis data augmentation dystonia elderly ensemble clustering method fall risk flex sensor functional walking gated recurrent unit gesture recognition head rotation test home-based human activity recognition IMU inertial measurement unit inertial measurement unit-IMU inertial sensor intermittent claudication K-means clustering method kinematics lifting technique logistic regression long-track speed skating low back pain machine learning MLP model search movement analysis movement complexity n/a neck pain neural network one-dimensional convolutional neural network pain self-efficacy questionnaire principal component analysis sample entropy scoring supervised machine learning trunk flexion TUG validity vascular rehabilitation ward clustering method wearable wearable device |
| ISBN | 3-0365-5859-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637794103321 |
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Buisseret Fabien
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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