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Convergence of Intelligent Data Acquisition and Advanced Computing Systems
| Convergence of Intelligent Data Acquisition and Advanced Computing Systems |
| Autore | Stamatescu Grigore |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (189 p.) |
| Soggetto topico |
Technology: general issues
Energy industries & utilities |
| Soggetto non controllato |
automotive
current electric power train electric vehicle embedded systems delay detection distributed systems measurements power train sensor signals time delay estimation unmanned aerial vehicles wireless sensor networks intelligent data processing trajectory planning relevant data extraction data consensus Internet of Things precision agriculture system identification smart building artificial neural network energy efficiency black box modeling educational robotics data acquisition sensors ROS STEM CNN (Convolutional neural networks) deep learning pavement defects residual connection attention gate atrous spatial pyramid pooling intelligent charging demand response linear programming optimization smart parking smart grid ODE Solver OpenCL Parareal parallel/multi-core computing sensing systems heterogenous embedded systems deep sparse auto-encoders medical diagnosis linear model data classification PSO algorithm safety-related system component FPGA-designing logical and power-oriented checkability hidden faults clock signal consumed and dissipated power temperature and current consumption sensors |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557333503321 |
Stamatescu Grigore
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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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Parallel-in-Time Integration Methods : 9th Parallel-in-Time Workshop, June 8–12, 2020 / Benjamin Ong ... [et al.] editors
| Parallel-in-Time Integration Methods : 9th Parallel-in-Time Workshop, June 8–12, 2020 / Benjamin Ong ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | ix, 127 p. : ill. ; 24 cm |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 65Y20 - Complexity and performance of numerical algorithms [MSC 2020] 65L06 - Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations [MSC 2020] 65M12 - Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs [MSC 2020] 65Y05 - Parallel numerical computation [MSC 2020] 65M55 - Multigrid methods; domain decomposition for initial value and initial-boundary value problems involving PDEs [MSC 2020] |
| Soggetto non controllato |
Multigrid
Multigrid-in-time Parallel computing Parallel-in-time integration Parareal Performance analysis tools Space-time variational formulations Time integration Time-parallelization Waveform relaxation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275114 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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