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Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications
| Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications |
| Autore | Lucchiari Claudio |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (178 p.) |
| Soggetto topico |
Medicine
Neurosciences |
| Soggetto non controllato |
consumer behavior
electroencephalogram (EEG) biosensor attention and meditation brain computer interface Brain-Computer Interface (BCI) Steady-State Visual Evoked Potential (SSVEP) artefact removal Individual Alpha Peak movement artefact Electroencephalography (EEG) classification emotion facial nerve paralysis LASSO MEG passive brain–computer interface (pBCI) EEG headsets daily life applications In-ear EEG echo state network (ESN) attention monitoring vigilance task brain-computer interface (BCI) electroencephalography (EEG) emotion recognition independent component analysis (ICA) regression stroke electroencephalogram (EEG) bispectrum multimodal fusion brain–computer interface (BCI) affective computing EEG-based emotion detection spiking neural network NeuCube |
| ISBN | 3-0365-5377-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Brain Computer Interfaces and Emotional Involvement |
| Record Nr. | UNINA-9910619472403321 |
Lucchiari Claudio
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics
| Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics |
| Autore | Yeomans Julian Scott |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
streamflow forecasting
C-vine copula quantile regression joint dependencies water resource management ecological relationship factorial analysis input-output analysis optimal path reduction urban solid waste system desalination reverse osmosis modelling simulation parameter estimation seawater boron watershed management nonpoint source pollution point source pollution water quality pollutant loadings South Texas eco-efficiency DEA CO2 emissions forecasting ecological indicators biomass gasification machine learning computer modeling computer simulation regression model reduction LASSO classification feature selection financial market investing sustainability renewable energy support energy modeling energy system design generation profile environmental footprint renewable energy electricity production unlisted companies Germany feed-in tariff biofuel policy investment profitability analysis the pay-off method simulation decomposition sourcing operational flexibility business aviation turboprop electric motor specific power Monte Carlo simulation Iowa food-energy-water nexus nitrogen export system modeling weather modeling optimal allocation interval fuzzy dynamic programming water resources |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557620403321 |
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Yeomans Julian Scott
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Uncertainty Quantification Techniques in Statistics
| 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 |
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Kim Jong-Min
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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