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Advanced Methods of Power Load Forecasting
| Advanced Methods of Power Load Forecasting |
| Autore | García-Díaz J. Carlos |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (128 p.) |
| Soggetto topico |
Research & information: general
Physics |
| Soggetto non controllato |
Prophet model
Holt–Winters model long-term forecasting peak load prophet model multiple seasonality time series demand load forecast DIMS irregular galvanizing short-term electrical load forecasting machine learning deep learning statistical analysis parameters tuning CNN LSTM short-term load forecast Artificial Neural Network deep neural network recurrent neural network attention encoder decoder online training bidirectional long short-term memory multi-layer stacked neural network short-term load forecasting power system |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576883403321 |
García-Díaz J. Carlos
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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ASTER 20th Anniversary
| ASTER 20th Anniversary |
| Autore | Abrams Michael J |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (284 p.) |
| Soggetto non controllato |
emissivity
vicarious calibration digital elevation model optical sensor loess Terra ASTER land-surface temperature lithological mapping sediment transport pathways Mosaic validation thermal infrared Terra MODIS True Color imagery ASTER multispectral data fluvial water body detection morphology MOD35 lunar calibration cloud coverage volcanic processes Wudalianchi volcano Ming Dynasty Artificial Neural Network permafrost ASTER Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) stereo erosion Mako geologic mapping Algodones future concepts 3D perspective view observation scheduler earthen Great Wall thermal infrared data lithology mineral exploration VNIR cloud mask cloud avoidance aeolian phase change mission operations temperature global database zero curtain effect image archive mineral system deposition DEM MODIS success rate uncertain flag TES algorithm ASTER instrument radiometric calibration mineral mapping atmospheric correction TIR |
| ISBN | 3-03928-685-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404090603321 |
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Abrams Michael J
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Brain-computer interfaces for human augmentation / / special issue editors, Riccardo Poli, Davide Valeriani, Caterina Cinel
| Brain-computer interfaces for human augmentation / / special issue editors, Riccardo Poli, Davide Valeriani, Caterina Cinel |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (128 p.) |
| Disciplina | 612.80285 |
| Soggetto topico |
Neuroergonomics
Brain-computer interfaces Self-help devices for people with disabilities |
| Soggetto non controllato |
SIFT
brain-computer interfaces P300 complete locked-in state Brain-Computer Interface (BCI) electroencephalography (EEG) SHCC speller SSVEP human performance superintelligence MI communication electroencephalography 20-questions-game MP indoor room temperature office-work tasks augmented cognition heuristic search performance prediction p300 Graphical User Interface (GUI) hybrid Artificial Neural Network PE brain computer interface waveform |
| ISBN | 3-03921-907-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674032503321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning Methods with Noisy, Incomplete or Small Datasets
| Machine Learning Methods with Noisy, Incomplete or Small Datasets |
| Autore | Solé-Casals Jordi |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (316 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
open contours
similarly shaped fish species Discrete Cosine Transform (DCT) Discrete Fourier Transform (DFT) Extreme Learning Machines (ELM) feature engineering small data-sets optimization machine learning preprocessing image generation weighted interpolation map binarization single sample per person root canal measurement multifrequency impedance data augmentation neural network functional magnetic resonance imaging independent component analysis deep learning recurrent neural network functional connectivity episodic memory small sample learning feature selection noise elimination space consistency label correlations empirical mode decomposition sparse representations tensor decomposition tensor completion machine translation pairwise evaluation educational data small datasets noisy datasets smart building Internet of Things (IoT) Markov Chain Monte Carlo (MCMC) ontology graph model Artificial Neural Network Discriminant Analysis dengue feature extraction sound event detection non-negative matrix factorization ultrasound images shadow detection shadow estimation auto-encoders semi-supervised learning prediction feature importance feature elimination hierarchical clustering Parkinson’s disease few-shot learning permutation-variable importance topological data analysis persistent entropy support-vector machine data science intelligent decision support social vulnerability gender-gap digital-gap COVID19 policy-making support artificial intelligence imperfect dataset |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557324603321 |
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Solé-Casals Jordi
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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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