Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Machine Learning in Tribology
| Machine Learning in Tribology |
| Autore | Tremmel Stephan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (208 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
artificial intelligence
machine learning artificial neural networks tribology condition monitoring semi-supervised learning random forest classifier self-lubricating journal bearings reduced order modelling dynamic friction rubber seal applications tensor decomposition laser surface texturing texturing during moulding digital twin PINN reynolds equation triboinformatics databases data mining meta-modeling monitoring analysis prediction optimization fault data generation Convolutional Neural Network (CNN) Generative Adversarial Network (GAN) bearing fault diagnosis unbalanced datasets tribo-testing tribo-informatics natural language processing tribAIn BERT amorphous carbon coatings UHWMPE total knee replacement Gaussian processes rolling bearing dynamics cage instability regression neural networks random forest gradient boosting evolutionary algorithms rolling bearings remaining useful life feature engineering structure-borne sound |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576887003321 |
Tremmel Stephan
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Solé-Casals Jordi
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiscale Entropy Approaches and Their Applications
| Multiscale Entropy Approaches and Their Applications |
| Autore | Humeau-Heurtier Anne |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (446 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
electrocardiogram
heart rate variability multiscale distribution entropy RR interval short-term inter-beat interval Alzheimer disease functional near infra-red spectroscopy signal complexity clock drawing test digit span test corsi block tapping test structural health monitoring multi-scale composite cross-sample entropy PD fault diagnosis variational mode decomposition multi-scale dispersion entropy HMSVM multiscale entropy embodied media tele-communication humanoid prefrontal cortex human behavior complexity page view sample entropy Wikipedia missing values physiological data medical information postural stability index stability states ensemble empirical mode decomposition gait Multiscale Permutation Entropy ordinal patterns estimator variance Cramér–Rao Lower Bound finite-length signals nonlinear dynamics multiscale indices cardiac risk stratification Holter long term monitoring multifractal spectrum multiscale time irreversibility predictability multiscale analysis entropy rate memory effect financial time series entropy cardiac autonomic neuropathy diabetes mental workload motif multi-scale entropy permutation entropy HRV SVM multivariate multiscale dispersion entropy multivariate time series electroencephalogram magnetoencephalogram CPD EEG sleep staging tensor decomposition preterm neonate bearing fault diagnosis weak fault multi-component signal local robust principal component analysis multi-scale permutation entropy brain complexity dynamic functional connectivity edge complexity fluid intelligence node complexity resting-state functional magnetic resonance imaging aging consolidation default mode network episodic memory fMRI network complexity resting state copula density dependency structures Voronoi decomposition ambient temperature telemetry systolic blood pressure pulse interval thermoregulation vasopressin center of pressure falls postural control cross-entropy multiscale cross-entropy asynchrony coupling cross-sample entropy cross-approximate entropy cross-distribution entropy cross-fuzzy entropy cross-conditional entropy eye movement events detection nonlinear analysis time series analysis approximate entropy fuzzy entropy multilevel entropy map time-scale decomposition heart sound ICEEMDAN RCMDE Fisher ratio biometric characterization multi-scale entropy (MSE) vector autoregressive fractionally integrated (VARFI) models heart rate variability (HRV) systolic arterial pressure (SAP) multivariate data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557629003321 |
|
Humeau-Heurtier Anne
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing Data Compression
| Remote Sensing Data Compression |
| Autore | Lukin Vladimir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (366 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
on-board data compression
CCSDS 123.0-B-2 near-lossless hyperspectral image compression hyperspectral image coding graph filterbanks integer-to-integer transforms graph signal processing compact data structure quadtree k2-tree k2-raster DACs 3D-CALIC M-CALIC hyperspectral images fully convolutional network semantic segmentation spectral image tensor decomposition HEVC intra coding JPEG 2000 high bit-depth compression multispectral satellite images crop classification Landsat-8 Sentinel-2 Elias codes Simple9 Simple16 PForDelta Rice codes hyperspectral scenes hyperspectral image lossy compression real time FPGA PCA JPEG2000 EBCOT multispectral hyperspectral CCSDS FAPEC data compression transform hyperspectral imaging on-board processing GPU real-time performance UAV parallel computing remote sensing image quality image classification visual quality metrics spectral–spatial feature multispectral image compression partitioned extraction group convolution rate-distortion compressed sensing invertible projection coupled dictionary singular value task-driven learning on board compression transform coding learned compression neural networks variational autoencoder complexity real-time compression on-board compression real-time transmission UAVs compressive sensing synthetic aperture sonar underwater sonar imaging remote sensing data compression lossless compression compression impact computational complexity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557383103321 |
|
Lukin Vladimir
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||