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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 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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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 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  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui