Bifurcation and Chaos in Fractional-Order Systems
| Bifurcation and Chaos in Fractional-Order Systems |
| Autore | Danca Marius-F |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (108 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
0-1 test
bessel functions bifurcation diagram caputo fractional derivative Caputo-like delta difference chaos chaos suppression chaotic systems closed curve fixed points coexisting attractors collocation method Complex systems device property discrete fractional systems Dynamical analysis fraction-order memristor Fractional dynamics fractional Levy stable motion hidden attractors impulsive control long-range dependence Lyapunov exponent Lyapunov exponents multi-order fractional differential equations Power law behavior Puu system of fractional order serial and parallel Soccer symmetry wind speed forecasting |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557677703321 |
Danca Marius-F
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Entropy in Image Analysis II
| Entropy in Image Analysis II |
| Autore | Sparavigna Amelia Carolina |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (394 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
AMBTC
art history art statistics atmosphere background backscattered signals balance bit cube blind image quality assessment brain-computer interface (BCI) chaotic system chaotic systems chiaroscuro children chosen plaintext attack complexity compound chaotic system computer vision continuous wavelet transform (CWT) convolution neural network convolutional neural network convolutional neural network (CNN) crowd behavior analysis crowd motion detection cryptography data expansion data hiding declining quality deep neural network detectability dictionary-based coding diffusion direction entropy DNA coding DNA computing Duchenne muscular dystrophy electroencephalography (EEG) engine flame entropy feature distribution entropy feature fusion filtering Golomb-Rice codes human visual system hyperchaotic system image binarization image chaotic encryption image encryption image entropy image information entropy image preprocessing image processing image quality evaluation image retrieval image segmentation infrared radiation IoU Keras key space calculation key-point detection Latin cube local entropy filter lossless compression machine learning magnetic resonance images malaria infection medical color images medical image medical imaging Mordell elliptic curve motor imagery (MI) MXNet neural engineering neuroaesthetics node strength non-maximum suppression normalized entropy nuclear spin generator object detection optical character recognition pattern classification peak signal-to-noise ratio pixel value adjusting Pompe disease pooling method portrait paintings pseudo-random numbers Python quantitative muscle ultrasound quasi-resonant Rossby/drift wave triads renaissance repulsive force RGB RSNNS S-box saliency and distortion salient crowd motion detection security security analysis steganography stego image substitution box symmetry texture-feature parametric imaging thresholding ultrasound weld evaluation weld segmentation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557433403321 |
Sparavigna Amelia Carolina
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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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