Empowering Materials Processing and Performance from Data and AI
| Empowering Materials Processing and Performance from Data and AI |
| Autore | Chinesta Francisco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (156 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
additive manufacturing
analytical model artificial neural networks Code2Vect computational modeling constitutive modeling data driven data mining data-driven data-driven mechanics effective properties elasto-visco-plasticity FE-beam model feature engineering finite element model Gaussian process Gaussian process regression GENERIC hardness high-throughput experimentation hyperelasticity laser shock peening machine learning manifold learning mechanical properties microcompression microstructures model calibration model correction multiscale n/a nanoindentation nanoporous metals neural networks nonlinear nonlinear regression open-pore foams physics based plasticity principal component analysis residual stresses sensitivity analysis soft living tissues spherical indentation statistical analysis stochastics structure-property relationship TDA Ti-Mn alloys topological data analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557717703321 |
Chinesta Francisco
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Indoor Positioning and Navigation
| Indoor Positioning and Navigation |
| Autore | Tomažič Simon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (350 p.) |
| Soggetto topico |
Energy industries & utilities
Technology: general issues |
| Soggetto non controllato |
absolute position system
accuracy appearance-based localization artificial neural network augmented reality autonomous vehicles beacon Bluetooth Bluetooth low energy calibration channel state information computer vision constrained optimization cooperative algorithm cooperative localization DCPCRLB deep learning descriptor manifold down-conversion dynamic objects identification and localization electronically steerable parasitic array radiator (ESPAR) antenna factor graph (FG) fingerprinting fingerprinting localization fuzzy comprehensive evaluation Gaussian filter Gaussian processes GNSS denied GPS GPS denied image manifold indoor indoor fingerprinting localization indoor localization indoor navigation indoor navigation system indoor positioning indoor positioning system indoor positioning system (IPS) indoor positioning systems industry 4.0 inertial navigation system inertial sensor intercepting vehicles Internet of Things (IoT) joint estimation of position and clock Kalman filter laser cluster leaky feeder location source optimization manifold learning mobile robot motion tracking multi-layered perceptron multi-variational message passing (M-VMP) n/a navigation NWPS particle filter particle swarm optimization path loss model Pearson correlation coefficient performance metrics position data positioning positioning algorithms product tracking radial velocity similarity radiating cable received signal strength (RSS) received signal strength indicator RF repeaters robot framework robot vision systems RSSI classification RSSI filter RTLS second-order Taylor expansion sensor fusion smart hospital smartphone stability switched-beam antenna traceability trilateral indoor positioning UAV unmanned aerial vehicles up-conversion UWB sensors visible light positioning visual-inertial SLAM visually impaired Wi-Fi wireless sensor network (WSN) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557743603321 |
Tomažič Simon
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Fluid Dynamics
| Statistical Fluid Dynamics |
| Autore | Ammar Amine |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (174 p.) |
| Soggetto topico |
History of engineering and technology
Materials science Technology: general issues |
| Soggetto non controllato |
Carreau nanofluid
concentrated suspensions data-driven model diffuse approximation diffuse interface discrete numerical simulation domain reconstruction energy dissipation flow around circular cylinders flow induced orientation flow simulation graphene nano-powder Hausdorff distance interval-pooled stepped spillway liquid-liquid interface lubrication effect manifold learning microcapsule suspension microstructure generation mixture model model order reduction molecular dynamics n/a nanoparticle two-phase flow nanoparticles Navier-Stokes equation numerical simulation octree optimization omega identification method particle coagulation and breakage particle distribution permeability computing phase field method Poisson equation porous media approach proper orthogonal decomposition Proper Orthogonal Decomposition (POD) reduced-order model reinforced polymers rheological behavior shear rate singularity steam generator thermal nanofluid topological data analysis (TDA) transitional flow turbulence Vallejo law void fraction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585935403321 |
Ammar Amine
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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