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Advanced Sensing and Control for Connected and Automated Vehicles
Advanced Sensing and Control for Connected and Automated Vehicles
Autore Huang Chao
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (284 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato analytic hierarchy architecture
articulated cargo trucks
artificial neural networks
attention
attention feature fusion
autonomous driving
autonomous vehicle
autonomous vehicles
collision warning system
connected and autonomous vehicles
data-driven
dead reckoning
electric vehicle
electroencephalogram
end-to-end learning
executive control
fronto-parietal network
in-vehicle network
kabsch algorithm
kalman filter
model predictive control
multi-scale channel attention
multi-task learning
multiple-model
n/a
object detection
object vehicle estimation
off-tracking
path planning
potential field
radar accuracy
radar latency
real-time control
roll stability
sigmoid curve
simulated driving
simulation
string stability
task-cuing experiment
time to collision
traffic scenes
trajectory tracking
TROOP
truck platooning
tyre blow-out
ultra-wideband
unified chassis control
Unscented Kalman Filter
unsprung mass
urban platooning
urban vehicle platooning
V2V communication
vehicle dynamic parameters
vehicle dynamics model
vehicle-to-vehicle communication
weighted interpolation
yaw stability
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566481403321
Huang Chao  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems
Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems
Autore Beltran-Carbajal Francisco
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (132 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato active suspension
adaptive power system control
algebraic identification
artificial neural networks
attraction sets
B-spline neural networks
B-splines
bending vibration
coordinated multiple controllers
data-driven control
ellipsoidal set
exact plate theory
finite element model
gauge condition
linear parameter varying
model predictive control
partial differential operator theory
particle swarm optimization
quadratic stability
quadrotor UAV
reactive power compensation
robust control
rotor-bearing system
rotordynamic coefficients
StatCom
STATCOM
Taylor series
thick plate
voltage control
voltage source converter
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576879003321
Beltran-Carbajal Francisco  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Hydrologic Forecasts and Water Resources Management
Advances in Hydrologic Forecasts and Water Resources Management
Autore Chang Fi-John
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (272 p.)
Soggetto topico Research and information: general
Soggetto non controllato artificial intelligence
artificial neural networks
cascade hydropower reservoirs
cascade reservoirs
changing environments
climate change impacts
coupled models
dammed lake
data synthesis
data-scarce deglaciating river basin
degree of balance and approach
elastic-ball modification
elasticity coefficient
empirical mode decomposition
feasible search space
flood control
flood risk
flood-risk map
forecast evaluation
generalized likelihood uncertainty estimation
Generalized Likelihood Uncertainty Estimation (GLUE)
GloFAS-Seasonal
GR4J model
gravitational search algorithm
grey entropy method
highly urbanized area
Hushan reservoir
hydrodynamic modelling
hydrologic forecasting
impoundment operation
Internet of Things (IoT)
interval number
landslide
loss-benefit ratio of ecology and power generation
machine learning
machine learning model
Mahalanobis-Taguchi System
multi-objective optimal operation model
multi-objective optimization
multi-objective reservoir operation
NDVI
opposition learning
parameter uncertainty
Pareto-front optimal solution set
partial mutation
probabilistic forecast
random forest
recurrent nonlinear autoregressive with exogenous inputs (RNARX)
regional flood inundation depth
risk
Sequential Gaussian Simulation
signal-to-noise ratio
small and medium-scale rivers
Snowmelt Runoff Model
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
temporal transferability
Three Gorges Reservoir
time-varying parameter
TOPSIS
uncertainty
uncertainty analysis
Unscented Kalman Filter
urban hydrological model
urban stormwater
water resources management
western China
whole region perspective
Yangtze River
Yarlung Zangbo River
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557110703321
Chang Fi-John  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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
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AI Applications to Power Systems
AI Applications to Power Systems
Autore Tjing Lie Tek
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (156 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato artificial neural networks
automatic P2P energy trading
cellular computational networks
change detection
contingency
data analytics
data mining
deep Q-network
deep reinforcement learning
dynamic mode decomposition
event detection
feature extraction
filtering
fuzzy system
inter-area oscillations
load flow prediction
long short-term delayed reward
machine learning
machine-learning
manta ray foraging optimization algorithm
Markov decision process
modal analysis
multi-objective function
n/a
optimal power flow
optimization
optimization techniques
power quality
radial networks
reduced order modeling
self-healing grid
signal processing
situation awareness
steady-state security assessment
total variation smoothing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566478903321
Tjing Lie Tek  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
Autore Lytras Miltiadis
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (258 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato ambient assisted living
artificial intelligence
artificial neural network
artificial neural networks
CNN
computational intelligence
conditional random fields
decision tree
deep learning
demand response
demand side management
distributed genetic algorithm
drill-in fluid
ELR
energy
energy disaggregation
energy efficient coverage
energy management
ERELM
Faster R-CNN
feature extraction
forecasting
genetic algorithm
home energy management
home energy management systems
insulator
internet of things
Jetson TX2
load
load disaggregation
LR
LSTM
machine learning
Marsh funnel
MCP39F511
mud rheology
multiple kernel learning
NILM
non-intrusive load monitoring
nonintrusive load monitoring
object detection
optimization algorithms
plastic viscosity
policy making
price
RELM
RPN
sandstone reservoirs
scheduling
self-adaptive differential evolution algorithm
sensor network
smart cities
smart city
smart grid
smart grids
smart metering
smart villages
static young's modulus
support vector machine
sustainable development
transient signature
wireless sensor networks
yield point
ISBN 3-03928-890-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404078103321
Lytras Miltiadis  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence in Oral Health
Artificial Intelligence in Oral Health
Autore Lee Jae-Hong
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (190 p.)
Soggetto topico Medicine
Soggetto non controllato machine learning
artificial intelligence
malocclusion
diagnostic imaging
active learning
maxillary sinusitis
convolutional neural network
deep learning
segmentation
oral microbiota
LEfSe
PCoA
alloprevotella
prevotella
core microbiota
artificial neural networks
oral cancer diagnosis
oral cancer prediction
pit and fissure sealants
caries assessment
visual examination
clinical evaluation
convolutional neural networks
transfer learning
deep learning network
YOLOv4
mandibular third molar
inferior alveolar nerve
contact relationship
panoramic radiograph
deep learning methods
caries diagnosis
dental panoramic images
radiography
Fourier transform infrared spectroscopy
FTIR imaging
spectral biomarker
multivariate analysis
discriminant model
oral squamous cell carcinoma
oral epithelial dysplasia
oral potentially malignant disorder
risk stratification
early oral cancer detection
dentigerous cysts
histopathology images
image classification
odontogenic keratocysts
radicular cysts
AI
screening
diagnosis
dentistry
ultrasonography
tongue
algorithm
dysphagia
impacted
tooth
detection
neural networks
proximal caries
training strategy
small dataset
periapical radiograph
X-ray
tooth extraction
oroantral fistula
operative planning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595066803321
Lee Jae-Hong  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Artificial Neural Networks and Evolutionary Computation in Remote Sensing
Artificial Neural Networks and Evolutionary Computation in Remote Sensing
Autore Kavzoglu Taskin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (256 p.)
Soggetto topico Research and information: general
Soggetto non controllato aerial images
AI on the edge
artificial neural networks
China
classification
classification ensemble
CNN
CNNs
convolutional neural network
convolutional neural networks
convolutional neural networks (CNNs)
deep learning
dense network
digital terrain analysis
dilated convolutional network
earth observation
end-to-end detection
Faster RCNN
feature fusion
Feicheng
few-shot learning
Gaofen 6
Gaofen-2 imagery
geographic information system (GIS)
hyperspectral image classification
hyperspectral images
image downscaling
image segmentation
land-use
LiDAR
light detection and ranging
machine learning
mask R-CNN
mask regional-convolutional neural networks
microsat
mission
mixed forest
mixed-inter nonlinear programming
model generalization
multi-label segmentation
multi-scale feature fusion
nanosat
on-board
optical remote sensing images
post-processing
quadruplet loss
remote sensing
resource extraction
semantic features
semantic segmentation
Sentinel-2
ship detection
single shot multi-box detector (SSD)
spatial distribution
SRGAN
statistical features
super-resolution
superstructure optimization
Tai'an
transfer learning
unmanned aerial vehicles
winter wheat
You Look Only Once-v3 (YOLO-v3)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557148403321
Kavzoglu Taskin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Artificial Neural Networks as Models of Neural Information Processing
Artificial Neural Networks as Models of Neural Information Processing
Autore Marcel van Gerven
Pubbl/distr/stampa Frontiers Media SA, 2018
Descrizione fisica 1 online resource (220 p.)
Collana Frontiers Research Topics
Soggetto topico Neurosciences
Soggetto non controllato artificial neural networks
backpropagation
brain imaging
deep learning
neural information processing
spiking neural networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346748103321
Marcel van Gerven  
Frontiers Media SA, 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Artificial Neural Networks in Agriculture
Artificial Neural Networks in Agriculture
Autore Kujawa Sebastian
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (283 p.)
Soggetto topico Biology, life sciences
Research & information: general
Technology, engineering, agriculture
Soggetto non controllato agroecology
apparent soil electrical conductivity (ECa)
artificial neural network
artificial neural network (ANN)
artificial neural networks
automated harvesting
average degree of coverage
big data
classification
CLQ
CNN
convolutional neural networks
corn canopy cover
corn plant density
correlation filter
coverage unevenness coefficient
crop models
crop yield prediction
cropland mapping
decision supporting systems
deep learning
deoxynivalenol
dynamic model
dynamic response
dynamic time warping
EBK
EM38
environment
Faster-RCNN
ferulic acid
food production
GA-BPNN
GPP-driven spectral model
grain
Grain weevil identification
health
high-resolution imagery
high-throughput phenotyping
hybrid feature extraction
hydroponics
image classification
image identification
LSTM
machine learning
magnetic susceptibility (MS)
Medjool dates
memory
metric
MLP network
model application for sustainable agriculture
modeling
NARX neural networks
neural image analysis
neural modelling classification
neural network
neural networks
nivalenol
oil palm tree
optimization
paddy rice mapping
Phoenix dactylifera L.
plant growth
precision agriculture
predicting
recursive feature elimination wrapper
remote sensing for agriculture
rice phenology
root zone temperature
sensitivity analysis
similarity
soil and plant nutrition
soybean
time series forecasting
transfer learning
UAV
vegetation indices
weakly supervised learning
weeds
winter wheat
yield gap
yield prediction
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557509803321
Kujawa Sebastian  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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