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Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
| Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods |
| Autore | Kim Cheonshik |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (196 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
AMBTC
BTC channel estimation error CNN-features compressed sensing connected autonomous cars constant pairing computations constant-size private key constrained backtracking matching pursuit data complexity data hiding deep learning digital signature efficient decryption fragile watermarking greedy pursuit algorithm Hamming code handwritten text recognition image processing inner product encryption latency optimization Log-mel LSB MFCC mobile edge cloud n/a named entity recognition neural network object detection physical layer security power allocation pre-trained models predicate encryption Residual Network scalograms secrecy capacity secrecy capacity optimization artificial noise secure transmission seismic patch classification self-embedding smart city sparse reconstruction transfer learning Transformer model video surveillance visual surveillance watermarking |
| ISBN | 3-0365-5394-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469803321 |
Kim Cheonshik
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| 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 |
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Sparavigna Amelia Carolina
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||