Entropy in Image Analysis II |
Autore | Sparavigna Amelia Carolina |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (394 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
image binarization
optical character recognition local entropy filter thresholding image preprocessing image entropy image encryption medical color images RGB chaotic system crowd behavior analysis salient crowd motion detection repulsive force direction entropy node strength Pompe disease children quantitative muscle ultrasound texture-feature parametric imaging compound chaotic system S-box image information entropy image chaotic encryption cryptography Latin cube bit cube chosen plaintext attack atmosphere background engine flame infrared radiation detectability image quality evaluation image retrieval pooling method convolutional neural network feature distribution entropy lossless compression pattern classification machine learning malaria infection entropy Golomb–Rice codes image processing image segmentation weld segmentation weld evaluation convolution neural network Python Keras RSNNS MXNet brain-computer interface (BCI) electroencephalography (EEG) motor imagery (MI) continuous wavelet transform (CWT) convolutional neural network (CNN) hyperchaotic system filtering DNA computing diffusion deep neural network data expansion blind image quality assessment saliency and distortion human visual system declining quality data hiding AMBTC steganography stego image dictionary-based coding pixel value adjusting neuroaesthetics symmetry balance complexity chiaroscuro normalized entropy renaissance portrait paintings art history art statistics chaotic systems DNA coding security analysis magnetic resonance images non-maximum suppression object detection key-point detection IoU feature fusion quasi-resonant Rossby/drift wave triads Mordell elliptic curve pseudo-random numbers substitution box nuclear spin generator medical image peak signal-to-noise ratio key space calculation Duchenne muscular dystrophy ultrasound backscattered signals medical imaging neural engineering computer vision crowd motion detection security |
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 | ||
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Lo trovi qui: Univ. Federico II | ||
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Principles and Applications of Data Science |
Autore | Liu Chuan-Ming |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (168 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
deep learning
user preference learning feature fusion similar user recommendation convolutional neural network image classification electronic health records fair exchange forward secrecy raw material mining terminology dictionary terminology application mobile application digitization lexical data corpus data linguistic linked open data neuro-fuzzy prediction model air pollution PM2.5 PM10 self-attention mechanism graph neural network data mining behaviour sequence pattern behaviour network water crystal fine-tuning supervised classification combined classification model deep transfer learning focal-segmental kidney disease kidney glomeruli medical image sclerosed glomeruli predictive analytics Internet of Things peasant farming smart farming system crop production prediction |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910580211103321 |
Liu Chuan-Ming
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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