top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Data Science in Healthcare
Data Science in Healthcare
Autore Hulsen Tim
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (212 p.)
Soggetto topico Medicine and Nursing
Pharmacology
Soggetto non controllato apache spark
Arabic language
arteriovenous fistula
artificial intelligence
big data
breast cancer diagnosis
case fatality rate
chronic kidney disease (CKD)
computed tomography
coronavirus
COVID-19
cross-validation
data exploratory techniques
data management
data science
data sharing
depression
dialysis
digital technology
distributed computing
early-warning model
end stage kidney disease
end-stage kidney disease (ESKD)
genetic algorithm
hand-foot-and-mouth disease
healthcare
kidney failure
kidney replacement therapy (KRT)
machine learning
machine learning models
mental health
metabolic syndrome
metabolically healthy obese phenotype
n/a
naïve Bayes classifiers
neural network
non-specialist health worker
obesity
outbreak prediction
pilot study
pneumonia
precision medicine
primary care
psychological treatment
risk prediction
SARS-CoV-2
sentinel surveillance system
smart cities
smart governance
smart healthcare
smoking
social distancing
social media
task sharing
thoracic pain
training
tree classification
Triple Bottom Line (TBL)
tumors classification
Twitter
vascular access surveillance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576885103321
Hulsen Tim  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Environmental Disasters and Individuals' Emergency Preparedness : In the Perspective of Psychology and Behavior
Environmental Disasters and Individuals' Emergency Preparedness : In the Perspective of Psychology and Behavior
Autore Hong Yuxiang
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (138 p.)
Soggetto topico Psychology
Soggetto non controllato accidental life insurance
campus signal
China
coping behaviors
COVID-19
cross-validation
disaster awareness
disaster experience
disaster preparedness
emergency preparedness behavior
hazard of disaster-causing factors
MHO staff
multiple disasters
organizational identification
pandemic
place attachment
psychological capital
public sentiment
risk perception
self-efficacy
simulation and control
social networks
structural equation model
structural regression model
system dynamics
theory of planned behavior
training
trust
volunteering
vulnerability of disaster-bearers
water resources carrying risk
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Environmental Disasters and Individuals’ Emergency Preparedness
Environmental Disasters and Individuals’ Emergency Preparedness
Record Nr. UNINA-9910557614703321
Hong Yuxiang  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning in Insurance
Machine Learning in Insurance
Autore Nielsen Jens Perch
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (260 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato accelerated failure time model
analyzing financial data
autocorrelation
automobile insurance
benchmark
Bornhuetter-Ferguson
calibration
canonical parameters
chain ladder
chain-ladder method
claims prediction
cross-validation
deposit insurance
dichotomous response
exponential families
export credit insurance
generalised linear modelling
GLM
implied volatility
least-squares monte carlo method
life insurance
local linear kernel estimation
long-term forecasts
machine learning
maximum likelihood
n/a
non-life reserving
operational time
overdispersion
overlapping returns
parameterization
prediction
predictive model
prior knowledge
proxy modeling
risk classification
risk selection
semiparametric modeling
Solvency II
static arbitrage
stock return volatility
telematics
tree boosting
validation
VaR estimation
zero-inflated poisson model
zero-inflation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557660803321
Nielsen Jens Perch  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing for Precision Nitrogen Management
Remote Sensing for Precision Nitrogen Management
Autore Miao Yuxin
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (602 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Environmental science, engineering & technology
Soggetto non controllato UAS
multiple sensors
vegetation index
leaf nitrogen accumulation
plant nitrogen accumulation
pasture quality
airborne hyperspectral imaging
random forest regression
sun-induced chlorophyll fluorescence (SIF)
SIF yield indices
upward
downward
leaf nitrogen concentration (LNC)
wheat (Triticum aestivum L.)
laser-induced fluorescence
leaf nitrogen concentration
back-propagation neural network
principal component analysis
fluorescence characteristics
canopy nitrogen density
radiative transfer model
hyperspectral
winter wheat
flooded rice
pig slurry
aerial remote sensing
vegetation indices
N recommendation approach
Mediterranean conditions
nitrogen
vertical distribution
plant geometry
remote sensing
maize
UAV
multispectral imagery
LNC
non-parametric regression
red-edge
NDRE
dynamic change model
sigmoid curve
grain yield prediction
leaf chlorophyll content
red-edge reflectance
spectral index
precision N fertilization
chlorophyll meter
NDVI
NNI
canopy reflectance sensing
N mineralization
farmyard manures
Triticum aestivum
discrete wavelet transform
partial least squares
hyper-spectra
rice
nitrogen management
reflectance index
multiple variable linear regression
Lasso model
Multiplex®3 sensor
nitrogen balance index
nitrogen nutrition index
nitrogen status diagnosis
precision nitrogen management
terrestrial laser scanning
spectrometer
plant height
biomass
nitrogen concentration
precision agriculture
unmanned aerial vehicle (UAV)
digital camera
leaf chlorophyll concentration
portable chlorophyll meter
crop
PROSPECT-D
sensitivity analysis
UAV multispectral imagery
spectral vegetation indices
machine learning
plant nutrition
canopy spectrum
non-destructive nitrogen status diagnosis
drone
multispectral camera
SPAD
smartphone photography
fixed-wing UAV remote sensing
random forest
canopy reflectance
crop N status
Capsicum annuum
proximal optical sensors
Dualex sensor
leaf position
proximal sensing
cross-validation
feature selection
hyperparameter tuning
image processing
image segmentation
nitrogen fertilizer recommendation
supervised regression
RapidSCAN sensor
nitrogen recommendation algorithm
in-season nitrogen management
nitrogen use efficiency
yield potential
yield responsiveness
standard normal variate (SNV)
continuous wavelet transform (CWT)
wavelet features optimization
competitive adaptive reweighted sampling (CARS)
partial least square (PLS)
grapevine
hyperparameter optimization
multispectral imaging
precision viticulture
RGB
multispectral
coverage adjusted spectral index
vegetation coverage
random frog algorithm
active canopy sensing
integrated sensing system
discrete NIR spectral band data
soil total nitrogen concentration
moisture absorption correction index
particle size correction index
coupled elimination
ISBN 3-0365-5710-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637794503321
Miao Yuxin  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Data Modeling and Machine Learning with Applications
Statistical Data Modeling and Machine Learning with Applications
Autore Gocheva-Ilieva Snezhana
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (184 p.)
Soggetto topico Information technology industries
Soggetto non controllato artificial neural networks
assessment
banking
brain-computer interface
breast cancer subtyping
CART ensembles and bagging
categorical data
citizen science
classification
classification and regression tree
clustering
CNN-LSTM architectures
consensus models
convexity
cross-validation
dam inflow prediction
damped Newton
data quality
data-adaptive kernel functions
deep forest
EEG motor imagery
ensemble model
feature selection
Gower's interpolation formula
Gower's metric
hedonic prices
housing
hyper-parameter optimization
image data
input predictor selection
kernel clustering
kernel density estimation
long short-term memory
machine learning
mathematical competency
METABRIC dataset
mixed data
multi-category classifier
multi-omics data
multidimensional scaling
multivariate adaptive regression splines
n/a
non-linear optimization
predictive models
quantile regression
real-time motion imagery recognition
similarity
stochastic gradient descent
support vector machine
wavelet transform
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557359003321
Gocheva-Ilieva Snezhana  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Vehicular Sensor Networks : Applications, Advances and Challenges
Vehicular Sensor Networks : Applications, Advances and Challenges
Autore Kurugollu Fatih
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (238 p.)
Soggetto topico Information technology industries
Soggetto non controllato 3D placement
5G
5G cellular networks
anti-collaborative attack
barrier control
blockchain
blockchain within VANET and VSN
Caching
carbon emission
client-cache (CC)
connected vehicles, internet of vehicles
cross-validation
cyber security
D2D communication
delay tolerant network
dynamic positioning
emerging IoT applications in VANET and VSN
energy consumption
features extraction
genetic algorithm
Information Centric Networking
information-centric networking (ICN)
infrastructure offloading
IoT
ITS
license plate recognition
machine learning algorithms
medium access control protocol
message contents plausibility
mode selection
modeling and implementation
multi-receiver signcryption
multimedia and cellular communication
Named Data Networking
opportunistic network
power control
privacy
privacy and trust
PSO
raspberry-pi
receiver-initiated MAC protocol
resource-saving
security
sensors platform
simulation
smart city
software defined network
software-defined vehicular network
traffic adaptation
trust computing
UAV
V2V communication
vehicle detection
vehicle edge computing
vehicle-to-everything (V2X)
vehicle-to-vehicle communication
Vehicular Ad Hoc Networks
vehicular ad-hoc network
vehicular ad-hoc networks (VANET)
vehicular communications
vehicular mobility
vehicular sensor network (VSN)
vehicular sensor networks (VSN)
vehicular social network
video on demand (VoD)
wake-up radio
wireless sensor networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Vehicular Sensor Networks
Record Nr. UNINA-9910557115103321
Kurugollu Fatih  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Virtual Reality in the Assessment, Understanding and Treatment of Mental Health Disorders
Virtual Reality in the Assessment, Understanding and Treatment of Mental Health Disorders
Autore Riva Giuseppe
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (316 p.)
Soggetto topico Information technology industries
Soggetto non controllato adults
aging
Alzheimer disease
amputee patients
anorexia nervosa
anxiety disorders
autism spectrum disorder
bodily-self
body anxiety
body dissatisfaction
body image distortion
body image disturbances
body movements
body representation
cognitive and physical rehabilitation
cognitive assessment
cognitive exposure
cognitive rehabilitation
computational models
computerized assessment
cross-validation
decision tree
dementia
dental anxiety
derealization
digital biomarker
distraction systems
electroencephalogram
embodied cognition
embodiment
emotion regulation
enactment
episodic memory
executive functions
exposure in virtual reality
fear of gaining weight
fMRI
full body illusion
Generalized Anxiety Disorder (GAD)
hallucinations
health
hippocampus
interpersonal multisensory stimulation
machine learning
memory rehabilitation
mental health
metacognition
mild cognitive impairment
MRI
multiple errands test
n/a
navigation
neuroimaging
neurorehabilitation
obesity
Obsessive-compulsive disorders
oldest old person
pain
pain perception
personalized scenario
presence
psychosis
real phobic images
repetitive behaviors
sense of agency
sense of reality
serious game
spatial memory
specific phobia
standardized scenario
stress
systematic review
telescoped effect
treatment
virtual environment
virtual reality
wellbeing intervention
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557760003321
Riva Giuseppe  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui