Applications in Electronics Pervading Industry, Environment and Society : Sensing Systems and Pervasive Intelligence |
Autore | Saponara Sergio |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (258 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
model-based design
FPGA HDL code generation wearable sensors embedded devices face recognition face verification biometric sensors deep learning distillation convolutional neural networks spatial transformer network video coding discrete cosine transform directional transform VLSI alternative representations to float numbers posit arithmetic Deep Neural Networks (DNNs) neural network activation functions surface electromyography event-driven functional electrical stimulation embedded system resampling interpolating polynomial polyphase filter digital circuit design ASIC bitmap indexing processing in memory memory wall big data internet of things intelligent sensors autonomous driving cyber security HW accelerator on-chip random number generator (RNG) SHA2 ASIC standard-cell machine learning edge computing edge analytics ANN k-NN SVM decision trees ARM X-Cube-AI STM32 Nucleo rad-hard PLL (phase-locked loop) SEE (single event effects) Spacefibre TID (total ionization dose) charge pump phase/frequency detector frequency divider ring oscillator LC-tank oscillator SpaceFibre rad-hard circuits radiation effects high-speed data transfer support attitude inertial measurement unit coal mining unscented Kalman filter quaternion gradient descent research data collection and sharing connected and automated driving deployment and field testing vehicular sensors impact assessment knowledge management collaborative project methodology |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Applications in Electronics Pervading Industry, Environment and Society |
Record Nr. | UNINA-9910557367703321 |
Saponara Sergio | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Sustainable Energy Systems Planning, Integration and Management |
Autore | Mohammadi-ivatloo Behnam |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (286 p.) |
Soggetto non controllato |
Romanian coastal environment
neural networks intermittent heating wind velocities time-space network optimal chiller loading (OCL) renewable energy pure electric buses mixed-integer non-linear programming problem (MINLP) control system FANP energy consumption load regulation energy smart box novel method smart logistics system multiple uncertainties non-intrusive load monitoring wind speed forecasting solid waste to energy plant uncertain cooling demand dual robust optimization Black Sea field test and numerical simulation electric power sustainable development multi-type bus operating organization cuckoo search algorithm vehicular emissions SWAN public transport product quality model MCDM TOPSIS heat transfer solar energy forecasting validity information gap decision theory (IGDT) photovoltaic systems configurations of internal wall ensemble empirical mode decomposition agricultural pruning hot summer and cold winter climate zone energy and environmental systems feature extraction information platform pruning biomass smart grid product usability testing meteorological variables fuzzy logic performance evaluation rural residential building threshold value of daily operation hours datacenter wave energy thermal comfort heat storage and release resampling risk aversion environment support vector machine internal coverings numerical models gradient descent renewable biomass energy demand response |
ISBN | 3-03928-047-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910372783903321 |
Mohammadi-ivatloo Behnam | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Uncertainty Quantification Techniques in Statistics |
Autore | Kim Jong-Min |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (128 p.) |
Soggetto non controllato |
Kullback–Leibler divergence
geometric distribution accuracy AUROC allele read counts mixture model low-coverage entropy gene-expression data SCAD data envelopment analysis LASSO high-throughput sandwich variance estimator adaptive lasso semiparametric regression ?1 lasso Laplacian matrix elastic net feature selection sea surface temperature gene expression data Skew-Reflected-Gompertz distribution lasso next-generation sequencing BH-FDR stochastic frontier model ?2 ridge geometric mean resampling Gompertz distribution adapative lasso group efficiency comparison sensitive attribute MCP probability proportional to size (PPS) sampling randomization device SIS Yennum et al.’s model ensembles |
ISBN | 3-03928-547-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404091103321 |
Kim Jong-Min | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|