Biometric Systems
| Biometric Systems |
| Autore | Nanni Loris |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (352 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
assessment
augmented signature autism spectrum disorder (ASD) automatic recognition automatic signature verification biomarker biometric recognition biometric recognition performance evaluation biometric systems biometry bit planes block bloodstream body motion contactless acquisition device contactless dataset cross-device curve similarity curve similarity model curve similarity transformation data quality deep learning depth map ensemble dorsal hand vein recognition ear detection ECG enrollment phase evolutionary computation face face detection face recognition systems face verification filtering finger features finger vein recognition fingerprint function features Gabor filter Gaussian mixture model geometric deep learning hand vein recognition Hausdorff distance human identification identification image classification image covariates image quality assessment image recognition infrared camera intervention LGS local coding Lviv Biometric Dataset machine learning mobile conditions multi-biometrics multimodal recognition mutual information non-contact devices online signature verification optical correlation Oriented FAST and Rotated BRIEF (ORB) pattern recognition performance assessment person identification person re-identification Physionet presentation attack detection public vascular pattern dataset quality filtering rotation equivariance SC-DTW Scale-Invariant Feature Transform (SIFT®) security enhancement segmentation matching semantic segmentation shape contexts similarity distance Speeded Up Robust Features (SURF®) structured prediction superpixel superpixels survey symbolic representation temporally aligned pooling touch-screen sensor two-stage method vascular biometric recognition visible light iris images voice walking cycle wrist vein recognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557789403321 |
Nanni Loris
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Computation in Complex Networks
| Computation in Complex Networks |
| Autore | Pizzuti Clara |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (352 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
active learning
angiogenesis Bayesian networks bridging centrality cascading failures chaotic time series chimera states city interaction network cloud computing architecture community detection complex network complex networks complex system simulation computational biology convergence coupled map lattice cross-domain recommendation cross-entropy data mining disjoint nodes disjunct nodes dissimilarity spaces entropy evolution model Gaussian mixture model genre classification graph neural network graph neural networks graph representation learning information diffusion information spreading inverse preferential attachment kernel methods knowledge evolution language development language networks latent sentiment review feature lemmatization literary works machine learning maximum likelihood maximum mean discrepancy membrane algorithm minimum memory based sign adjustment modularity multilayer complex networks n/a network embedding network growth network properties network topology nilpotent matrix node classification node similarity non-linear mapping null models NW network online social networks optimization overlapping communities overlapping nodes preferential attachment protein contact networks QoS-based service selection renormalisation process SciSci self-organizing map network semantic search framework sentiment analysis service-oriented modeling social media social networks socio-ecological system spreading control stability structural balance stylistic attributes support vector machines systems biology variational autoencoder variational inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557395103321 |
Pizzuti Clara
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Analytics and Applications of the Wearable Sensors in Healthcare
| Data Analytics and Applications of the Wearable Sensors in Healthcare |
| Autore | Syed Abdul Shabbir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (498 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
accelerometer
accelerometers accidental falls actigraph actigraphy action research arm test activities of daily living activity monitoring activity recognition and monitoring artificial intelligence behaviour analysis biofeedback biomedical signal processing biomedical technology bispectrum body worn sensors calibration cameras citizen science classifier efficiency classifier optimization clothing sensors cluster analysis conductive gels cross correlation analysis data compression deep learning denoising disease prevention edge computing eHealth electrocardiogram embedded system encoding energy expenditure entropy exercise experiment exercise intervention exercise therapy fall detection feature extraction feature selection filtering algorithm free-living frequency-domain features functional decline Gaussian mixture model GENEactiv accelerometer genetic algorithm GIS GPS gyroscope health healthcare healthcare movement sensing heart failure (HF) heart rate heart rate variability heat stroke hemodialysis hidden Markov model human activity recognition human factors human movement impedance pneumography inertial measurement unit inertial measurement units integration IoT IoT wearable monitor latent features left ventricular ejection fraction (LVEF) longitudinal study LSTM machine learning machine learning for real-time applications magnetometer mechanocardiogram (MCG) MIMU mobile health monitoring motion motion sensors multivariate analysis musculoskeletal disorders myocardial ischemia n/a neural network non-contact sensor non-wearable sensors noncontact electrode occupational healthcare one-class classification optoelectronic plethysmography orientation-invariant sensing orthopedics P-Ergonomics pacemaker patient health and state monitoring pattern classification performance measures personal risk detection physical activity physical activity classification physical activity type physical workload physiological parameters posture analysis precision ergonomics predictive analytics principal component analysis probabilistic inference qualitative real-life real-world recurrent neural networks respiration rate respiratory monitoring sedentary behavior services signal analysis signal processing skill assessment smart clothes smart textiles spinal posture state space model supervised machine learning talking detection technology acceptance model (TAM) Telemedicine time-domain features upper extremity ventricular premature contraction walking wavelets wearable wearable biomedical sensors wearable device wearable devices wearable sensing wearable sensor wearable sensors wearable systems for healthcare wearables wellbeing at work wireless sensor network |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288603321 |
Syed Abdul Shabbir
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-excited Attractors / Jesus M. Munoz-Pacheco, Jacques Kengne, Sajad Jafari, Christos Volos
| Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-excited Attractors / Jesus M. Munoz-Pacheco, Jacques Kengne, Sajad Jafari, Christos Volos |
| Autore | Munoz-Pacheco Jesus M |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (290 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
S-Box algorithm
empirical mode decomposition service game existence hyperchaotic system static memory complex-variable chaotic system neural network fractional-order permutation entropy adaptive approximator-based control BOPS Bogdanov Map complex systems Thurston’s algorithm parameter estimation fractional discrete chaos full state hybrid projective synchronization self-excited attractor stability PRNG inverse full state hybrid projective synchronization entropy measure chaos chaotic flow multistable core entropy multiscale multivariate entropy multistability new chaotic system strange attractors chaotic systems spatial dynamics spectral entropy resonator stochastic (strong) entropy solution multichannel supply chain Hubbard tree approximate entropy circuit design coexistence sample entropy chaotic maps chaotic map Gaussian mixture model entropy laser Non-equilibrium four-dimensional chaotic system multiple attractors projective synchronization hidden attractors hidden attractor chaotic system entropy analysis self-excited attractors multiple-valued self-reproducing system implementation unknown complex parameters optimization methods image encryption generalized synchronization uncertain dynamics fractional order nonlinear transport equation external rays Lyapunov exponents inverse generalized synchronization fixed point uniqueness electronic circuit realization synchronization Hopf bifurcation |
| ISBN |
9783038978992
303897899X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346839603321 |
Munoz-Pacheco Jesus M
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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