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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 online resource (178 p.) |
| Soggetto topico |
Medicine and Nursing
Neurosciences |
| Soggetto non controllato |
affective computing
artefact removal attention and meditation attention monitoring bispectrum brain computer interface brain-computer interface (BCI) Brain-Computer Interface (BCI) classification consumer behavior daily life applications echo state network (ESN) EEG headsets EEG-based emotion detection electroencephalogram (EEG) electroencephalogram (EEG) biosensor electroencephalography (EEG) Electroencephalography (EEG) emotion emotion recognition facial nerve paralysis In-ear EEG independent component analysis (ICA) Individual Alpha Peak LASSO MEG movement artefact multimodal fusion NeuCube passive brain-computer interface (pBCI) regression spiking neural network Steady-State Visual Evoked Potential (SSVEP) stroke vigilance task |
| 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 online resource (248 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
biofuel policy
biomass gasification boron business aviation C-vine copula classification CO2 emissions computer modeling computer simulation DEA desalination dynamic programming eco-efficiency ecological indicators ecological relationship electric motor electricity production energy modeling energy system design environmental footprint factorial analysis feature selection feed-in tariff financial market forecasting fuzzy generation profile Germany input-output analysis interval investing investment profitability analysis Iowa food-energy-water nexus joint dependencies LASSO machine learning model reduction modelling Monte Carlo simulation n/a nitrogen export nonpoint source pollution operational flexibility optimal allocation optimal path parameter estimation point source pollution pollutant loadings quantile regression reduction regression renewable energy renewable energy support reverse osmosis seawater simulation simulation decomposition sourcing South Texas specific power streamflow forecasting sustainability system modeling the pay-off method turboprop unlisted companies urban solid waste system water quality water resource management water resources watershed management weather modeling |
| 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 online resource (128 p.) |
| Soggetto non controllato |
?1 lasso
?2 ridge accuracy adapative lasso adaptive lasso allele read counts AUROC BH-FDR data envelopment analysis elastic net ensembles entropy feature selection gene expression data gene-expression data geometric distribution geometric mean Gompertz distribution group efficiency comparison high-throughput Kullback-Leibler divergence Laplacian matrix lasso LASSO low-coverage MCP mixture model next-generation sequencing probability proportional to size (PPS) sampling randomization device resampling sandwich variance estimator SCAD sea surface temperature semiparametric regression sensitive attribute SIS Skew-Reflected-Gompertz distribution stochastic frontier model Yennum et al.'s model |
| 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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