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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 electronic resource (228 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato pig weight
body size
estimation
deep learning
convolutional neural network
pig identification
mask scoring R-CNN
soft-NMS
group-housed pigs
audio
dairy cow
mastication
jaw movement
forage management
precision livestock management
equine behavior
wearable sensor
intermodality interaction
class-balanced focal loss
absorbing Markov chain
cow behavior analysis
prediction of calving time
cow identification
EfficientDet
YOLACT++
cascaded model
instance segmentation
generative adversarial network
machine learning
automated medical image processing
deep neural network
animal science
CT scans
computer vision
cow
extensive livestock
sensorized wearable device
monitoring
parturition prediction
radar sensors
radar signal processing
animal farming
computational ethology
signal classification
wavelet analysis
dairy welfare
hierarchical clustering
mutual information
precision livestock farming
time budgets
unsupervised machine learning
wearables design
animal-centered design
animal telemetry
modularity
smart collar
design contributions
additive manufacturing
low-frequency tracking
commercial aviary
laying hens
false registrations
tree-based classifier
animal behaviour
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
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Control and Automation
Control and Automation
Autore Muresan Cristina I
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (136 p.)
Soggetto topico Technology: general issues
Soggetto non controllato fractional calculus
fractional-order control
experimental tuning
smart beam
vibration suppression
industrial internet of things
prediction strategy
proactive historian
water industry
lithium-ion batteries
fast charging
battery ageing
sample and hold
hierarchical clustering
multidimensional scaling
distances
moving horizon estimation
Kalman filter
parameter estimation
tumor growth estimation
vibration
control
linear quadratic regulator (LQR)
algebraic Riccati equation
iteration
state observer
viscoelasticity
mechatronic system
6DOF platform
co-simulation platform
robust control
fractional order PID control
linear parameter varying system
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557781803321
Muresan Cristina I  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Control and Automation
Control and Automation
Autore Muresan Cristina I
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (111 p.)
Soggetto topico Technology: general issues
Soggetto non controllato fractional calculus
fractional-order control
experimental tuning
smart beam
vibration suppression
industrial internet of things
prediction strategy
proactive historian
water industry
lithium-ion batteries
fast charging
battery ageing
sample and hold
hierarchical clustering
multidimensional scaling
distances
moving horizon estimation
Kalman filter
parameter estimation
tumor growth estimation
vibration
control
linear quadratic regulator (LQR)
algebraic Riccati equation
iteration
state observer
viscoelasticity
mechatronic system
6DOF platform
co-simulation platform
robust control
fractional order PID control
linear parameter varying system
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557606003321
Muresan Cristina I  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Enhanced Geothermal Systems and other Deep Geothermal Applications throughout Europe: The MEET Project
Enhanced Geothermal Systems and other Deep Geothermal Applications throughout Europe: The MEET Project
Autore Ledésert Béatrice A
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (544 p.)
Soggetto topico Research & information: general
Soggetto non controllato Soultz-Sous-Forêts
geothermal site
heat exchanger
scales
sulfates
sulfides
As and Sb-bearing galena
crystal growth
crystal shapes
fracture network
Death Valley
Noble Hills
power law distribution
multiscale analysis
geothermal reservoir characterization
Noble Hills granite
Owlshead Mountains granite
metamorphic grade
fluid/rock interactions
newly formed minerals
element variations
geothermal reservoir
deep geothermal energy
EGS
Variscan fold-and-thrust belt
district heating and cooling
economic indicators
CO2 abatement cost
sensitivity analysis
fracturing processes
fluid circulation
granite alteration
low to moderate regional strain
blind geothermal system
compositional anomalies
hierarchical clustering
self-organizing maps
unconventional reservoirs
geothermal
OVSP
well seismic data
fault
fracture
geothermal derisking
FWI
numerical modelling
inversion
imaging
permeability
fluid-rock interactions
slate
temperature
time-dependent
pressure solution
dissolution
Soultz-sous-Forêts
hydro-thermal modeling
conversion
clustering
upscaling
heat
electricity
scenarios
LCOE
LCOH
NPV
CO2 emissions
Upper Rhine Graben
geothermal brine
scaling
metal sulfides
thermodynamic
kinetics
oil
corrosion
geology
stress
fluid pressure
Mohr diagrams
fracturing
greywackes
slates
deep geothermal reservoir
structural model
thermo-hydraulic simulations
MEET H2020 project
fracture network variability
granite
spacing distribution
fracture intensity P10
well placement
CO2-EGS
water-EGS
discrete fracture networks
THM modeling
enhanced geothermal systems (EGS)
fractured granite
core flooding experiments
autoclave experiments
Cornubian Batholith
Enhanced Geothermal Systems (EGS)
Variscan rocks
quartzite
claystone
graywacke
gouge
fracture transmissivity
effective stress
United Downs
hydraulic stimulation
equivalent permeability field
exposed analogue
enhanced geothermal system
fractures
ISBN 3-0365-6053-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Enhanced Geothermal Systems and other Deep Geothermal Applications throughout Europe
Record Nr. UNINA-9910639986603321
Ledésert Béatrice A  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Food, Health and Safety in Cross Cultural Consumer Contexts
Food, Health and Safety in Cross Cultural Consumer Contexts
Autore Byrne Derek V
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (263 p.)
Soggetto topico Research & information: general
Biology, life sciences
Food & society
Soggetto non controllato fruit chips
hedonic based projective mapping
hedonic transfer
cross-culture
consumer liking
cross-cultural
post-ingestive food pleasure
food reward
post-ingestive sensation
satisfaction
china
Denmark
coffee
temperature
risk
food service industry
Brazil
Waterford Blaa
cross-cultural consumer differences
sensory attributes
gender differences
age differences
PGI status
oat products
consumers
liking
Check-All-That-Apply
China
Finland
individual differences
taste mixtures
model matrix
taste primaries
taste-taste interactions
basic tastes
hierarchical clustering
consumer survey
food safety
food hygiene
food handling
consumer behavior
risk perception
healthy food consumption
cultural consumer context
microbiological risk
health
optimistic bias
social trust
information behavior
certification mark
purchase intention
dairy
diet
butter preference
sensory
volatiles
meat substitute
meathybrid
consumer preference
plant-based proteins
food quality
Kosovar consumers
Albanian consumers
Western Balkan countries
bootstrapping
beef
traceability system
marketing
consumer
safety food
cross cultural study
questionnaire
organic foods consumerism
food innovation adoption
food security
circular economy
health consciousness
environmental concern
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557371703321
Byrne Derek V  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs
Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs
Autore Rauch Erwin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (348 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato latent semantic analysis
virtual quality management
concept investigation
concept disambiguation
knowledge discovery
sustainable methodologies
small and medium sized enterprises
material handling systems
simulation
ARENA®, time study
overall equipment effectiveness
manufacturing performance
Industry 4.0
manufacturing sustainability
manufacturing process model
business process management
hierarchical clustering
similarity
BPMN
human factors
cyber-physical systems
cyber-physical production systems
anthropocentric design
Operator 4.0
human–machine interaction
energy efficient operation
manufacturing system
stochastic event
digital twin
Max-plus Algebra
MATLAB-Simulink
advanced manufacturing
industry 4.0
SME
technology adoption model
assembly supply chain
sustainability
complexity indicators
testing criteria
SMEs
e-business modelling
LSP Lifecycle Model
Quality Function Deployment
Best-Worst Method
Internet of Things
India
awareness
small and medium-sized enterprises
assessment model
collaborative robotics
physical ergonomics
human-robot collaboration
human-centered design
assembly
small and medium sized enterprise
positive complexity
negative complexity
infeasible configurations
product platform
customer’s perception
assessment
field study
smart manufacturing
cloud platform
artificial intelligence
machine learning
deep learning
smart logistics
logistics 4.0
smart technologies
sustainable agriculture
plant factory
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557625503321
Rauch Erwin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Machine Learning for Energy Systems
Machine Learning for Energy Systems
Autore Sidorov Denis N
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (272 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato vacuum tank degasser
rule extraction
extreme learning machine
classification and regression trees
wind power: wind speed: T–S fuzzy model: forecasting
linearization
machine learning
photovoltaic output power forecasting
hybrid interval forecasting
relevance vector machine
sample entropy
ensemble empirical mode decomposition
high permeability renewable energy
blockchain technology
energy router
QoS index of energy flow
MOPSO algorithm
scheduling optimization
Adaptive Neuro-Fuzzy Inference System
insulator fault forecast
wavelet packets
time series forecasting
power quality
harmonic parameter
harmonic responsibility
monitoring data without phase angle
parameter estimation
blockchain
energy internet
information security
forecasting
clustering
energy systems
classification
integrated energy system
risk assessment
component accident set
vulnerability
hybrid AC/DC power system
stochastic optimization
renewable energy source
Volterra models
wind turbine
maintenance
fatigue
power control
offshore wind farm
Interfacial tension
transformer oil parameters
harmonic impedance
traction network
harmonic impedance identification
linear regression model
data evolution mechanism
cast-resin transformers
abnormal defects
partial discharge
pattern recognition
hierarchical clustering
decision tree
industrial mathematics
inverse problems
intelligent control
artificial intelligence
energy management system
smart microgrid
optimization
Volterra equations
energy storage
load leveling
cyber-physical systems
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557678803321
Sidorov Denis N  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning Methods with Noisy, Incomplete or Small Datasets
Machine Learning Methods with Noisy, Incomplete or Small Datasets
Autore Solé-Casals Jordi
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (316 p.)
Soggetto topico Information technology industries
Soggetto non controllato open contours
similarly shaped fish species
Discrete Cosine Transform (DCT)
Discrete Fourier Transform (DFT)
Extreme Learning Machines (ELM)
feature engineering
small data-sets
optimization
machine learning
preprocessing
image generation
weighted interpolation map
binarization
single sample per person
root canal measurement
multifrequency impedance
data augmentation
neural network
functional magnetic resonance imaging
independent component analysis
deep learning
recurrent neural network
functional connectivity
episodic memory
small sample learning
feature selection
noise elimination
space consistency
label correlations
empirical mode decomposition
sparse representations
tensor decomposition
tensor completion
machine translation
pairwise evaluation
educational data
small datasets
noisy datasets
smart building
Internet of Things (IoT)
Markov Chain Monte Carlo (MCMC)
ontology
graph model
Artificial Neural Network
Discriminant Analysis
dengue
feature extraction
sound event detection
non-negative matrix factorization
ultrasound images
shadow detection
shadow estimation
auto-encoders
semi-supervised learning
prediction
feature importance
feature elimination
hierarchical clustering
Parkinson’s disease
few-shot learning
permutation-variable importance
topological data analysis
persistent entropy
support-vector machine
data science
intelligent decision support
social vulnerability
gender-gap
digital-gap
COVID19
policy-making support
artificial intelligence
imperfect dataset
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557324603321
Solé-Casals Jordi  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nursing and Society
Nursing and Society
Autore Fernández-Martínez Elena
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (424 p.)
Soggetto topico Medicine
Soggetto non controllato chronic pain
hallux valgus
musculoskeletal diseases
psychology
learning management system
higher education
nursing
data mining
career development
counselling
cultural perspective
decision-making process
East Asian perspective
filial piety
nursing education
nursing shortage
nursing student
turnover
social support
patient satisfaction
chronic disease
family
homeless
parenting
parents
vulnerable population
workplace violence
mental healthcare nurses
secondary traumatic stress
burnout
nursing license
job demands
job control
work–life balance
nurses
nurse manager
competence
core competencies
governance
leadership
nursing research
Delphi method
consensus
Spain
Alzheimer’s disease
comorbidity
older adults
elderly
fibromyalgia
stigma
illness uncertainty
scoping review
qualitative research
happiness
job crafting
work environment
turnover intention
hierarchical clustering
fatigue
sleep
clinical skills
COVID-19
healthcare providers
implementation
interpersonal skills
perception
telemedicine
training
video consultation
cardiopulmonary resuscitation
chest compression
method
experiential learning
observation
CPR
pandemics
students
teaching
education
distance
schools
Life Changing Events
clinical placements
emergency hospital service
intensive care units
nursing care
nursing education research
nursing students
circadian rhythm
chronotype
midwives
Morningness–Eveningness Questionnaire (MEQ)
near misses
rhythms desynchronization
risk of medication errors
shift work
frailty
foot deformities
foot diseases
foot pain
integrated care
social care
health care
older people
person centered care
lumbar radiculopathy
neurodynamic tension tests
orthopedic tension tests
magnetic resonance
daylight saving time (DST)
desynchronization
chronobiology
spontaneous delivery
midwifery
obstetrics
multiple sclerosis
physical activity
resilience
sense of coherence
coping
child
parent
congenital heart disease
heart surgery
content analysis
cross-border care
transitions
personal satisfaction
surveys and questionnaires
validation studies
primary care
workplace
quality of health care
nurse’s role
coronary disease
cardiac rehabilitation
health education
quality of life
self-care
cannabis
adolescents
stress
social network analysis
network
friendship
care pathway
integrated health care
long-term care
activities of daily living
Barthel index
SARS-CoV-2
gender-based violence
abuse
survival
resilient
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557596703321
Fernández-Martínez Elena  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui