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Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming
Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming
Autore Qiao Yongliang
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (228 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato absorbing Markov chain
additive manufacturing
animal behaviour
animal farming
animal science
animal telemetry
animal-centered design
audio
automated medical image processing
body size
cascaded model
class-balanced focal loss
commercial aviary
computational ethology
computer vision
convolutional neural network
cow
cow behavior analysis
cow identification
CT scans
dairy cow
dairy welfare
deep learning
deep neural network
design contributions
EfficientDet
equine behavior
estimation
extensive livestock
false registrations
forage management
generative adversarial network
group-housed pigs
hierarchical clustering
instance segmentation
intermodality interaction
jaw movement
laying hens
low-frequency tracking
machine learning
mask scoring R-CNN
mastication
modularity
monitoring
mutual information
parturition prediction
pig identification
pig weight
precision livestock farming
precision livestock management
prediction of calving time
radar sensors
radar signal processing
sensorized wearable device
signal classification
smart collar
soft-NMS
time budgets
tree-based classifier
unsupervised machine learning
wavelet analysis
wearable sensor
wearables design
YOLACT++
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576879803321
Qiao Yongliang  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Entropy Measures for Data Analysis: Theory, Algorithms and Applications
Entropy Measures for Data Analysis: Theory, Algorithms and Applications
Autore Keller Karsten
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 online resource (260 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato algorithmic complexity
analog circuit
auditory attention
auditory attention classifier
automatic learning
belief entropy
center of pressure displacement
Chinese stock sectors
co-evolution
complex fuzzy set
complex vague soft set
conditional entropy of ordinal patterns
cross wavelet transform
cross-entropy method
cross-visibility graphs
data analysis
data transformation
Dempster-Shafer evidence theory
distance
distance induced vague entropy
dual-tasking
effective transfer entropy
electroencephalography (EEG)
embedded dimension
empirical mode decomposition
entropy
entropy balance equation
entropy measure
entropy measures
entropy visualization
experiment of design
fault diagnosis
firefly algorithm
geodesic distance
global optimization
image entropy
information
information entropy
information transfer
Kolmogorov-Sinai entropy
learning
learning systems
linear discriminant analysis (LDA)
machine learning evaluation
market crash
meta-heuristic
multivariate analysis
non-probabilistic entropy
novelty detection
ordinal patterns
parametric t-distributed stochastic neighbor embedding
particle size distribution
permutation entropy
Permutation entropy
plausibility transformation
relevance analysis
sample entropy
selfsimilar measure
Shannon entropy
Shannon-type relations
short time records
signal analysis
signal classification
similarity indices
simulation
support vector machine
support vector machine (SVM)
symbolic analysis
synchronization analysis
system coupling
treadmill walking
Tsallis entropy
uncertainty of basic probability assignment
vague entropy
weighted Hartley entropy
ISBN 3-03928-033-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Entropy Measures for Data Analysis
Record Nr. UNINA-9910367736303321
Keller Karsten  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui