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Advances in Public Transport Platform for the Development of Sustainability Cities
Advances in Public Transport Platform for the Development of Sustainability Cities
Autore Corchado Juan M
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (346 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Environmental science, engineering & technology
Soggetto non controllato optimization models
timetable
passenger waiting time
vehicle occupancy ratio
intelligent transportation systems
demand prediction
taxi recommendation
vehicle social network
ride-hailing
urban rail transit (URT)
exploratory data analysis (EDA)
data envelopment analysis (DEA)
sustainable transport systems
intelligent transportation systems (ITS)
big-data applications
dynamic bus travel time prediction
wide and deep
data fusion
attention
recurrent neural network
deep neural networks
intelligent transportation
railway
CPS
security
safety
critical infrastructure
carsharing
data analysis
delays
demand
public transit
taxi
complex network analysis
centrality measures
network robustness
ridership patterns
clustering analysis
passenger flow
Barcelona underground
artificial intelligence
Big Data analytics
forecasting systems
recommender system
Fintech
passenger traffic
artificial neural network
regression analysis
reputation algorithm
users' reputation
transport
software application
deep learning
energy consumption
sustainable cities
transfer learning
wastewater treatment plants
unmanned aerial vehicles (UAVs)
multi-objective optimization
integer programming
GLPK
variable neighborhood search
search and rescue
learning recommender system
learning object
learning videos
content-based
collaborative filtering
users' profiling
data extraction
natural language processing
mapping application
time series forecasting
HTM
regression
machine intelligence
cyber-attack detection
IoT
trust
energy trading
trusted negotiations
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566472003321
Corchado Juan M  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Remote Sensing for Global Forest Monitoring
Advances in Remote Sensing for Global Forest Monitoring
Autore Tomppo Erkki
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (352 p.)
Soggetto topico Research & information: general
Environmental economics
Soggetto non controllato forest structure change
EBLUP
small area estimation
multitemporal LiDAR and stand-level estimates
forest cover
Sentinel-1
Sentinel-2
data fusion
machine-learning
Germany
South Africa
temperate forest
savanna
classification
Sentinel 2
land use land cover
improved k-NN
logistic regression
random forest
support vector machine
statistical estimator
IPCC good practice guidelines
activity data
emissions factor
removals factor
Picea crassifolia Kom
compatible equation
nonlinear seemingly unrelated regression
error-in-variable modeling
leave-one-out cross-validation
digital surface model
digital terrain model
canopy height model
constrained neighbor interpolation
ordinary neighbor interpolation
point cloud density
stereo imagery
remotely sensed LAI
field measured LAI
validation
magnitude
uncertainty
temporal dynamics
state space models
forest disturbance mapping
near real-time monitoring
CUSUM
NRT monitoring
deforestation
degradation
tropical forest
tropical peat
forest type
deep learning
FCN8s
CRFasRNN
GF2
dual-FCN8s
random forests
error propagation
bootstrapping
Landsat
LiDAR
La Rioja
forest area change
data assessment
uncertainty evaluation
inconsistency
forest monitoring
drought
time series satellite data
Bowen ratio
carbon flux
boreal forest
windstorm damage
synthetic aperture radar
C-band
genetic algorithm
multinomial logistic regression
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557338103321
Tomppo Erkki  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Remote Sensing-based Disaster Monitoring and Assessment
Advances in Remote Sensing-based Disaster Monitoring and Assessment
Autore Im Jungho
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (232 p.)
Soggetto topico Research & information: general
Soggetto non controllato wildfire
satellite vegetation indices
live fuel moisture
empirical model function
Southern California
chaparral ecosystem
forest fire
forest recovery
satellite remote sensing
vegetation index
burn index
gross primary production
South Korea
land subsidence
PS-InSAR
uneven settlement
building construction
Beijing urban area
floodplain delineation
inaccessible region
machine learning
flash flood
risk
LSSVM
China
Himawari-8
threshold-based algorithm
remote sensing
dryness monitoring
soil moisture
NIR-Red spectral space
Landsat-8
MODIS
Xinjiang province of China
SDE
PE
groundwater level
compressible sediment layer
tropical cyclone formation
WindSat
disaster monitoring
wireless sensor network
debris flow
anomaly detection
deep learning
accelerometer sensor
total precipitable water
Himawari-8 AHI
random forest
deep neural network
XGBoost
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557765003321
Im Jungho  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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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Advances in Vehicular Networks
Advances in Vehicular Networks
Autore Masini Barbara Mavì
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (138 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato vehicular networks
5G
C-RAN
resource allocation
edge computing
optimization
vehicle-to-everything communication
pedestrian
vehicles
safety
automotive
damper
convolutional neural networks
fault detection
diagnosis
machine learning
deep learning
connected vehicles
reconfigurable meta-surface
smart environment
cooperative driving
vulnerable road user detection
collision probability
probabilistic flooding
vehicular communication
visible light communications
5G networks
smart vehicles
field trials
infrastructure-to-vehicle
vehicle-to-vehicle
Intelligent Transportation Systems
Visible Light Communication
Fresnel lenses
AODV
end-to-end delay
packet loss ratio
throughput
VANET
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557786803321
Masini Barbara Mavì  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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AI and Financial Markets
AI and Financial Markets
Autore Hamori Shigeyuki
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (230 p.)
Soggetto topico Economics, finance, business & management
Soggetto non controllato algorithmic trading
Stop Loss
Turtle
ATR
community finances
fiscal flexibility
individualized financial arrangements
sustainable financial services
price momentum
hidden markov model
asset allocation
blockchain
BlockCloud
Artificial Intelligence
consensus algorithms
exchange rates
fundamentals
prediction
random forest
support vector machine
neural network
deep reinforcement learning
financial market simulation
agent based simulation
artificial market
simulation
CAR regulation
portfolio
contract for difference
CfD
reinforcement learning
RL
neural networks
long short-term memory
LSTM
Q-learning
deep learning
uncertainty
economic policy
text mining
topic model
yield curve
term structure of interest rates
machine learning
autoencoder
interpretability
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557584903321
Hamori Shigeyuki  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
AI in Learning: Designing the Future / / edited by Hannele Niemi, Roy D. Pea, Yu Lu
AI in Learning: Designing the Future / / edited by Hannele Niemi, Roy D. Pea, Yu Lu
Autore Niemi Hannele
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham, : Springer Nature, 2023
Descrizione fisica 1 online resource (XXV, 344 p. 49 illus., 42 illus. in color.)
Disciplina 150
Soggetto topico Psychology
Social sciences—Data processing
Education
Cognitive science
Teaching
Artificial intelligence
Behavioral Sciences and Psychology
Computer Application in Social and Behavioral Sciences
Cognitive Science
Pedagogy
Artificial Intelligence
Intel·ligència artificial
Ensenyament
Aprenentatge
Educació
Ètica
Aprenentatge automàtic
Soggetto genere / forma Llibres electrònics
Soggetto non controllato artificial intelligence
life-long learning
tutoring
virtual learning
learning analytics
well-being
simulations
games
intelligent digital tools
deep learning
robotics
human-machine interaction
ISBN 3-031-09687-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1.Introduction to AI in Learning – Designing the Future -- Part I: AI expanding learning and wellbeing throughout life -- 2.Artificial Intelligence Innovations for Multimodal Learning, Interfaces, and Analytics -- 3.Curiosity and Interactive Learning in Artificial Systems -- 4.Assessing and Tracking Students’ Wellbeing through an Automated Scoring System: Schoolday Wellbeing Model -- 5.Learning from Intelligent Social Agents as Social and Intellectual Mirrors -- 6.An AI-Powered Teacher Assistant for Student Problem Behavior Diagnosis -- 7.Analysis and Improvement of Classroom Teaching Based on Artificial Intelligence -- Part II. AI in Games and Simulations -- 8.Perspectives and Metaphors of Learning: A Commentary on James Lester’s Narrative-centered AI-based Environments -- 9.Learning Career Knowledge: Can AI Simulation and Machine Learning Improve Career Plans and Educational Expectations? -- 10.Learning clinical reasoning through gaming in nursing education – Future scenarios of game metrics and AI -- 11.AI-Supported Simulation-Based Learning: Learners’ Emotional Experiences and Self-Regulation in Challenging Situations -- Part III. AI Technologies for education and Intelligent Tutoring Systems -- 12.Training Hard Skills in Virtual Reality: Developing a Theoretical Framework for AI-based Immersive Learning.-13.Multiple users’ experiences of an AI-aided educational platform for teaching and learning. 14.Deep Learning in Automatic Math Word Problem Solvers. 15.Recent Advances in Intelligent Textbooks for Better Learning -- Part IV. AI and Ethical Challenges in New Learning Environments -- 16.Ethical Guidelines for Artificial Intelligence-based Learning: A Transnational Study between in China and Finland -- 17.Artificial Intelligence Ethics from the Perspective of Educational Technology Companies and Schools -- 18.Artificial Intelligence in Education as a Rawlsian Massively Multiplayer Game: A thought experiment on AI Ethics -- 19.Four surveillance technologies creating challenges for education -- 20.Reflections on the contributions and future scenarios in AI-based learning.
Record Nr. UNINA-9910632469503321
Niemi Hannele  
Cham, : Springer Nature, 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
AI-Based Transportation Planning and Operation
AI-Based Transportation Planning and Operation
Autore Sohn Keemin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (124 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato autoencoder
deep learning
traffic volume
vehicle counting
CycleGAN
bottleneck and gridlock identification
gridlock prediction
urban road network
long short-term memory
link embedding
traffic speed prediction
traffic flow centrality
reachability analysis
spatio-temporal data
artificial neural network
context-awareness
dynamic pricing
reinforcement learning
ridesharing
supply improvement
taxi
preventive automated driving system
automated vehicle
traffic accidents
deep neural networks
vehicle GPS data
driving cycle
micro-level vehicle emission estimation
link emission factors
MOVES
black ice
CNN
prevention
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557486603321
Sohn Keemin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Algorithms in Decision Support Systems
Algorithms in Decision Support Systems
Autore García-Díaz Vicente
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (162 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato semi-supervised learning
transfer learning
radar emitter
decision support systems
population health management
big data
machine learning
deep learning
personalized patient care
Nonlinear regression
interactive platform
component-based approach
software architecture
Eclipse-RCP (Rich Client Platform)
spatial prediction
rule-based expert systems
tennis hitting technique
computer algebra systems
Groebner bases
Boolean logic
data envelopment analysis
dimensionality reduction
ensembles
exhaustive state space search
entropy
associative classification
class association rule
vertical data representation
classification
algorithm evaluation
parallel algorithms
multi-objective optimization
train rescheduling
very large-scale decision support systems
very large-scale data and program cores of information systems
meta-database
teleological meta-database
thematic list
indicators list
computational methods list
geographically dispersed systems
external sources
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557109603321
García-Díaz Vicente  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
Autore Kim Cheonshik
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (196 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato data hiding
AMBTC
BTC
Hamming code
LSB
predicate encryption
inner product encryption
constant-size private key
efficient decryption
constant pairing computations
watermarking
self-embedding
digital signature
fragile watermarking
constrained backtracking matching pursuit
sparse reconstruction
compressed sensing
greedy pursuit algorithm
image processing
visual surveillance
deep learning
object detection
latency optimization
mobile edge cloud
connected autonomous cars
smart city
video surveillance
physical layer security
secure transmission
secrecy capacity
secrecy capacity optimization artificial noise
power allocation
channel estimation error
neural network
transfer learning
scalograms
MFCC
Log-mel
pre-trained models
seismic patch classification
CNN-features
data complexity
handwritten text recognition
Residual Network
Transformer model
named entity recognition
ISBN 3-0365-5394-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619469803321
Kim Cheonshik  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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