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Big Data Analytics and Information Science for Business and Biomedical Applications II
| Big Data Analytics and Information Science for Business and Biomedical Applications II |
| Autore | Ahmed S. Ejaz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (196 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
asymptotic bias and risk
bandwidth selection Bayesian modeling big data adaptation brain network cancer causal structure learning chest X-ray images consistency correlation deep learning dividend estimation edge-preserving image denoising FCI algorithm fMRI functional connectivity functional predictor functional principal component analysis functional regression gestational weight high dimensionality high-dimensional data Human Connectome Project image sequence infant birth weight joint modeling jump regression analysis LASSO estimation linear mixed model linear mixed-effects model local smoothing longitudinal data lung diseases maternal weight gain mobile device multicollinearity network analysis nonparametric regression nonparametric testing online health community options markets PC algorithm pretest and shrinkage estimation pretrained neural networks ridge estimation social support sparse group regularization spatio-temporal data statistics transfer learning wearable device data weighted least squares |
| ISBN | 3-0365-5550-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637784003321 |
Ahmed S. Ejaz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Identifying Neuroimaging-Based Markers for Distinguishing Brain Disorders
| Identifying Neuroimaging-Based Markers for Distinguishing Brain Disorders |
| Autore | Du Yuhui |
| Pubbl/distr/stampa | Frontiers Media SA, 2020 |
| Descrizione fisica | 1 online resource (288 p.) |
| Soggetto topico |
Neurosciences
Science: general issues |
| Soggetto non controllato |
biomarkers
brain network classification EEG MRI |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557259803321 |
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Du Yuhui
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| Frontiers Media SA, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information Theory in Neuroscience
| Information Theory in Neuroscience |
| Autore | Piasini Eugenio |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (280 p.) |
| Soggetto non controllato |
brain network
categorical perception channel capacity complex networks connectome consciousness decoding discrete Markov chains discrimination eigenvector centrality entorhinal cortex feedforward networks free-energy principle functional connectome Gibbs measures goodness graph theoretical analysis graph theory higher-order correlations hippocampus independent component analysis infomax principle information entropy production information theory integrated information integrated information theory internal model hypothesis Ising model latching maximum entropy maximum entropy principle minimum information partition mismatched decoding mutual information mutual information decomposition navigation network eigen-entropy neural code neural coding neural information propagation neural network neural population coding neuroscience noise correlations orderness perceived similarity perceptual magnet Potts model principal component analysis pulse-gating Queyranne's algorithm recursion redundancy representation spike train statistics spike-time precision submodularity synergy unconscious inference |
| ISBN | 3-03897-665-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346856603321 |
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Piasini Eugenio
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Radiolabelled Molecules for Brain Imaging with PET and SPECT
| Radiolabelled Molecules for Brain Imaging with PET and SPECT |
| Autore | Brust Peter |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (244 p.) |
| Soggetto topico |
Biology, life sciences
Research and information: general |
| Soggetto non controllato |
[18F]FESCH
[18F]UCB-H adenosine A2A receptor alpha 7 Alzheimer's disease Alzheimer's disease (AD) amino acid autoradiography Benzoimidazotriazine (BIT) biomarkers blocking assay brain metastases brain network cyclic nucleotide phosphodiesterase diagnostic imaging probes distribution volume drug dependence epilepsy FACBC FDOPA FET fluorinated fluorine-18 GBM glioma graph theory IDH imaging immunoPET in vitro autoradiography microPET molecular imaging Mouse Liver Microsomes (MLM) movement disorders nAChR network measure neurofibrillary tangles nicotinic acetylcholine receptors nitro-precursor opioid receptors orexin receptors pain Parkinson's disease PARP PBIF PD-L1 PDE2A radioligand persistent homology PET PET imaging Phosphodiesterase 2A (PDE2A) positron emission tomography positron emission tomography (PET) Positron Emission Tomography (PET) preclinical imaging radiotracer radiotracers rotenone-based mouse model Sigma 1 Sigma 2 SV2A SV2B SV2C two-step one-pot radiosynthesis α-synucleinopathy β-amyloid plaques μOR-, δOR-, κOR- and ORL1-ligands |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295103321 |
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Brust Peter
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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