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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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Principles and Applications of Data Science
| Principles and Applications of Data Science |
| Autore | Liu Chuan-Ming |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (168 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
air pollution
behaviour network behaviour sequence pattern classification combined classification model convolutional neural network corpus data crop production prediction data mining deep learning deep transfer learning dictionary digitization electronic health records fair exchange feature fusion fine-tuning focal-segmental forward secrecy graph neural network image classification Internet of Things kidney disease kidney glomeruli lexical data linguistic linked open data medical image mining mobile application neuro-fuzzy peasant farming PM10 PM2.5 prediction model predictive analytics raw material sclerosed glomeruli self-attention mechanism similar user recommendation smart farming system supervised terminology terminology application user preference learning water crystal |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580211103321 |
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Liu Chuan-Ming
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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