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Advances in Sustainable Concrete System
Advances in Sustainable Concrete System
Autore Ling Yifeng
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (408 p.)
Soggetto topico Conservation of buildings and building materials
History of engineering and technology
Technology: general issues
Soggetto non controllato acoustic emission
adhesively-bonded joint
AE rate process theory
age
alkali-activated material
artificial intelligence
artificial neural networks
axial load
bagasse ash
bamboo
beam-column joint
bending resistance
bentonite-free drilling fluid
bio-based material
blast furnace ferronickel slag
brittleness evaluation index
cement content
cementitious gravel
coal gangue
compound activator
compressive strength
concrete
concrete composites
concrete damage
constitutive model
corrosion rate
crack
crack depth
crack width
cracked concrete
crumb rubber
crumb rubber concrete
damage evolution
damage mechanism
damage variable
data science
detergent treatment
dosage of activator
durability
eco-friendly concrete
elastic strain energy
energy evolution
failure criterion
FE modeling
FE modelling
fiber-reinforced concrete
filtration
fly ash
freeze-thaw cycle
fresh properties
FRP reinforced concrete slab
GM (0, N) model
gradation
green concrete
GSP
high strength
high temperature
high-strength concrete
humidity
hydration
hydration mechanisms
lattice girder semi-precast slabs
lime treatment
limestone
machine learning
materials
materials design
mechanical behavior
mechanical properties
mechanical property
microstructure
minimum energy dissipation principle
moisture absorption
moisture desorption
mortar strength
multiple linear regression
n/a
NaOH treatment
natural coarse aggregate
numerical simulation
optimal dosage
orthogonal experiment
penetrability
phosphorus slag
precast concrete structure
pretreatment
punching shear strength
reactive powder concrete
recycled coarse aggregate
recycled concrete
residual strength
rheology
rice husk ash
sawdust
self-compacting concrete
SHAP
silica fume
steel slag powder
strength
sulfate and acid attacks
sulphate-corrosion resistance
supplementary cementitious materials
sustainability
sustainable concrete
sustainable development
synthetic polymer
temperature aging
three-shear energy yield criterion
tortuosity
two-stage concrete
ultrafine metakaolin
unconfined compressive strength
uniaxial tension
volume deformation
water treatment
WPFT fibers
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580211903321
Ling Yifeng  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Assessment of Socio-Economic Sustainability and Resilience after COVID-19
Assessment of Socio-Economic Sustainability and Resilience after COVID-19
Autore D'Adamo Idiano
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (493 p.)
Soggetto topico Technology: general issues
Soggetto non controllato adoption willingness of IoT traceability technology
agrivoltaic system
agronomic management
air pollution
air quality
America Latina
Asia Pacific
best-worst method
bioenergy
biogas
biomethane
business
case studies
change
China
circular economy
circular network
climate change
CO2 emission
competences
consumers' awareness
COVID-19
Covid-19 outbreak
COVID-19 pandemic
crisis
crop production
customer-supplier relationship
cyber-security
cybersecurity
data science
DEA
demand shock
digital transformation
digitalization
digitization
distance learning
dominant design
e-commerce
econometric modeling
economic burden
economic sustainability
efficiency measurement
electric vehicle
emerging cities
emission level
environmental sustainability
EU
Europe
external capital
financialization
food system
Food-Energy-Water nexus
fuzzy best-worst method
gas supply decarbonization
grey DEMATEL
gross domestic product
health effects
higher education
hypothetical extraction method
incentives
infectious disease
infrastructure
innovation
innovation ecosystem
innovation strategy
input-output model
IT disruptions
Latent Moderate Structural Equations
levelized cost
local community
methodology
mobility choice
multi-criteria decision making
multi-domain resilience
n/a
natural gas grid
pandemic
perception analysis
pig farmers
reflexive governance
renewable energy
resilience
resilience decisions
resilience of city
resilient supply chains
sectoral linkage
small and medium-sized enterprises
small- and medium-sized enterprises
social sustainability
socio-economic sustainability
solar photovoltaics
strategic agility
strategic resilience
supply chain collaboration
supply chain resilience
sustainability
sustainability strategy
sustainable development goals
sustainable electricity production
sustainable integration
sustainable operations
TFP
the Asian region
Twitter
Unified Theory of Acceptance and Use of Technology
urban planning
urban resilience
warehouse logistics
women's leadership
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557349103321
D'Adamo Idiano  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Challenges and Opportunities in Applied System Innovation
Challenges and Opportunities in Applied System Innovation
Autore Douligeris Christos
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (230 p.)
Soggetto topico Environmental science, engineering and technology
Technology: general issues
Soggetto non controllato 6GCIoHE theoretical framework
6GIIoE applications
6GIIoE challenges
6GIIoE priorities
6GIIoE theoretical framework
artificial and human intelligence
artificial intelligence
assembly
automotive industry applications
bridge
change management
circular building
circular economy
circular resource flows
civil engineering
classification
clustering
cognitive data intelligence
cognitive healthcare
cognitive load
cognitive manufacturing
common welfare
concurrent engineering
construction
construction engineering
COVID-19
data science
decision-support model
design strategies
digital model
digital twin
digitization
electric power industry
employee motivation
employee satisfaction
expansion joint
health management
health-saving strategies
human resources
human-computer interaction
implementation strategies
Industry 4.0
information system
joint gap
labor productivity
line-scan camera
machine learning
machine vision
manufacturing industry applications
predictive analytics
predictive maintenance
process planning systems
quality of life
risks and risk management
security
sensor
sequential methodology
smart bridge maintenance equipment
socio-political assessment
software tool
statistical data processing
structural health monitoring
sustainable development
system optimization
tiny machine learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580215303321
Douligeris Christos  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Child Obesity and Nutrition Promotion Intervention
Child Obesity and Nutrition Promotion Intervention
Autore Rito Ana Isabel
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (319 p.)
Soggetto topico Biology, life sciences
Food & society
Research & information: general
Soggetto non controllato adolescent girls
adolescents
advertising
allergic rhinitis
allergy
asthma
availability and accessibility
Black/African American
BMI
canteen
child
childhood obesity
childhood overweight
children
cluster randomised controlled trial
community
community-based program
cooking
data science
deep learning
diet
dietary habit
dietary habits
dietary intakes
Eastern Mediterranean Region
eating behavior
energy balance-related behaviors
family
family environment
fish
food acceptance
food and nutrition
food availability
food consumption patterns
food environment
food intake
food neophobia
fruit
gamification
health
health behavior
health intervention
health promotion
healthy diet
healthy eating
healthy lifestyle intervention
Hispanic
home
implementation
intervention
intervention effects
intervention mapping
Japan
machine learning
macronutrients
mental health
micronutrients
minority
multicomponent intervention
MVPA
noncommunicable diseases
nutrition
nutrition promotion
nutritional status
obesity
overweight
overweight and obesity
parent-child dyads
parental educational level
parental role modelling
parents
preschool children
preschoolers
prevention
promotion programs
pulmonary function
purchase behaviour
qualitative
randomized controlled trial
review
risk
salt intake
school
school children
school meals
school-based intervention
schools
screening
self-efficacy
self-regulation skills
serious game
sodium consumption
soft drinks
statistical models
stress
surveillance
tactile play
tool
vegetable consumption
vegetables
willingness to taste
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557338503321
Rito Ana Isabel  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Methods for Medical and Cyber Security
Computational Methods for Medical and Cyber Security
Autore Luo Suhuai
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (228 p.)
Soggetto non controllato fintech
financial technology
blockchain
deep learning
regtech
environment
social sciences
machine learning
learning analytics
student field forecasting
imbalanced datasets
explainable machine learning
intelligent tutoring system
adversarial machine learning
transfer learning
cognitive bias
stock market
behavioural finance
investor’s profile
Teheran Stock Exchange
unsupervised learning
clustering
big data frameworks
fault tolerance
stream processing systems
distributed frameworks
Spark
Hadoop
Storm
Samza
Flink
comparative analysis
a survey
data science
educational data mining
supervised learning
secondary education
academic performance
text-to-SQL
natural language processing
database
machine translation
medical image segmentation
convolutional neural networks
SE block
U-net
DeepLabV3plus
cyber-security
medical services
cyber-attacks
data communication
distributed ledger
identity management
RAFT
HL7
electronic health record
Hyperledger Composer
cybersecurity
password security
browser security
social media
ANOVA
SPSS
internet of things
cloud computing
computational models
metaheuristics
phishing detection
website phishing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595066903321
Luo Suhuai  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Methods for Risk Management in Economics and Finance
Computational Methods for Risk Management in Economics and Finance
Autore Resta Marina
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (234 p.)
Soggetto non controllato admissible convex risk measures
auto-regressive
Big Data
capital allocation
capital market pricing model
cartography
conditional Value-at-Risk (CoVaR)
convex programming
copula models
CoVaR
credit risk
current drawdown
data science
deep learning
efficient frontier
estimation error
financial markets
financial mathematics
financial regulation
fractional Kelly allocation
growth optimal portfolio
independence assumption
International Financial Reporting Standard 9
loss given default
Markowitz portfolio theory
multi-step ahead forecasts
non-stationarity
ordered probit
portfolio theory
quantile regression
quantitative risk management
random matrices
risk measure
risk-based portfolios
shrinkage
stock prices
structural models
systemic risk
systemic risk measures
target matrix
utility functions
value at risk
weighted logistic regression
Wishart model
ISBN 3-03928-499-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404091803321
Resta Marina  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
Autore Attewell Paul A. <1949->
Pubbl/distr/stampa Oakland, California : , : University of California Press, , 2015
Descrizione fisica 1 online resource (265 p.)
Disciplina 006.3/12
Soggetto topico Social sciences - Data processing
Social sciences - Statistical methods
Data mining
Soggetto non controllato analyzing data
bayesian networks
big data
bootstrapping
business analytics
chaid
classification and regression trees
classification trees
confusion matrix
data analysis
data mining
data processing
data scholarship
data science
hardware for data mining
heteroscedasticity
naive bayes
partition trees
permutation tests
scholarly data
social science
social scientists
software for data mining
statistical methods
statistical modeling
studying data
text mining
vif regression
weka
ISBN 0-520-28098-9
0-520-96059-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX
Record Nr. UNINA-9910788152303321
Attewell Paul A. <1949->  
Oakland, California : , : University of California Press, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
Autore Attewell Paul A. <1949->
Pubbl/distr/stampa Oakland, California : , : University of California Press, , 2015
Descrizione fisica 1 online resource (265 p.)
Disciplina 006.3/12
Soggetto topico Social sciences - Data processing
Social sciences - Statistical methods
Data mining
Soggetto non controllato analyzing data
bayesian networks
big data
bootstrapping
business analytics
chaid
classification and regression trees
classification trees
confusion matrix
data analysis
data mining
data processing
data scholarship
data science
hardware for data mining
heteroscedasticity
naive bayes
partition trees
permutation tests
scholarly data
social science
social scientists
software for data mining
statistical methods
statistical modeling
studying data
text mining
vif regression
weka
ISBN 0-520-28098-9
0-520-96059-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX
Record Nr. UNINA-9910814373503321
Attewell Paul A. <1949->  
Oakland, California : , : University of California Press, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Science and Knowledge Discovery
Data Science and Knowledge Discovery
Autore Portela Filipe
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (254 p.)
Soggetto topico Computer science
Information technology industries
Soggetto non controllato activity recognition
adaptation process
ArcGIS
artificial intelligence
attribution
authorship
automation
big data
Big Data
box-counting framework
chatbots
classification
content base image retrieval
COVID-19
crisis reporting
customer relationship management (CRM)
dashboard
data analysis
data analytics
data augmentation
data mining
data science
databases
decision systems
deep features
deep learning
digital humanities
digital infrastructures
distracted driving
driving behavior
driving operation area
e-commerce
economic determinants of open data
ESP32 microcontroller
feature extraction
forensic intelligence
fractal dimension
geoinformation technology
governance and social institutions
humanities
ICT
information systems
interdisciplinary research
internet of things
ioCOVID19
journalists
linked open data
LoRaWAN
machine learning
media analytics
media criticism
multimedia document retrieval
n/a
neural networks
news media
open government data
prediction by partial matching
public health
rough sets
rule based systems
SARS-CoV-2
script Python
semantic information retrieval
smart homes
social sciences
spatio-temporal
territorial road network
text mining
textbook research
The Things Network
Web Intelligence
WebGIS
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576878103321
Portela Filipe  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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