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Advanced Greenhouse Horticulture : New Technologies and Cultivation Practices
Advanced Greenhouse Horticulture : New Technologies and Cultivation Practices
Autore Koukounaras Athanasios
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (200 p.)
Soggetto topico Research & information: general
Biology, life sciences
Soggetto non controllato soilless culture
root growth
root/shoot ratio
Allium porrum
organic management
production
sugars
selenium
antioxidants
minerals
remote sensing
hyperspectral
reflectance index
classification tree
machine vision
accumulated radiation method
feedback irrigation system
fuzzy control system
irrigation dose
precision irrigation
phyto-sensing
transpiration
water use efficiency
Sisymbrium officinale
Brassicaceae
hedge mustard
leafy vegetables
container substrates
physical properties
chemical properties
biomass
Citrullus lanatus
vegetable grafting
optimal production
marketable seedlings
quality indicators
greenhouse
metro-mix
Dahlia
Rudbeckia
Gerbera
abiotic factors
biocontrol agent (BCA)
controlled environment
ecological theory
molecular mechanisms
non-phototrophic bacteria
pathogens
phyllosphere
plant metabolism
plant morphology
semi-transparent photovoltaic modules
hydroponics
tomato
bioactive ingredients
lycopene
antioxidant capacity
urban agriculture
reclaimed wastewater
controlled environment agriculture
soilless production
brewery
Brassica juncea
Lactuca sativa
Ocimum basilicum
light emitting diodes
GA3
extended photoperiod
light
protected cultivation
vegetables
ornamental
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Advanced Greenhouse Horticulture
Record Nr. UNINA-9910557297203321
Koukounaras Athanasios  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Algorithms for Fault Detection and Diagnosis
Algorithms for Fault Detection and Diagnosis
Autore Ferracuti Francesco
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (130 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato structural health monitoring
digital image processing
damage
gray level co-occurrence matrix
self-organization map
rolling bearings
fault diagnosis
multiscale entropy
amplitude-aware permutation entropy
random forest
reusable launch vehicle
thruster valve failure
thruster fault detection
Kalman filter
machine vision
machine diagnostics
instantaneous angular speed
SURVISHNO 2019 challenge
video tachometer
motion tracking
edge detection
parametric template modeling
adaptive template matching
genetic algorithm
misalignment
fault prediction
combined prediction
multivariate grey model
quantum genetic algorithm
least squares support vector machine
lithium-ion battery
battery faults
battery safety
battery management system
fault diagnostic algorithms
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557630403321
Ferracuti Francesco  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applications of Computer Vision in Automation and Robotics
Applications of Computer Vision in Automation and Robotics
Autore Okarma Krzysztof
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (186 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato machine vision
defect inspection
image registration
feature region
contour point distribution
edge gradient direction
augmented reality
calibration
head mounted displays
optical see-through display
computer vision
infrared pedestrian detection
encoder-decoder
attention
convolutional neural network
deep learning
domain adaptation
semantic segmentation
generative adversarial networks
convolutional neural networks
aerial imagery
image processing
fertilizers
distribution
monitoring
component association
part recognition
feature descriptor
histogram
feature subset selection
industrial objects
sorting
k-NN algorithm
transparent plastic granulate
recycling
air nozzles
additive manufacturing
3D prints
surface quality assessment
image analysis
combined metrics
structural similarity
video analysis
visual inspection and diagnostics
industrial and robotic vision systems
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557644803321
Okarma Krzysztof  
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 electronic resource (230 p.)
Soggetto topico Technology: general issues
Environmental science, engineering & technology
Soggetto non controllato Industry 4.0
cognitive manufacturing
cognitive load
human–computer interaction
6GIIoE priorities
6GIIoE challenges
6GIIoE applications
information system
sequential methodology
6GIIoE theoretical framework
circular economy
circular building
implementation strategies
design strategies
circular resource flows
digital twin
digital model
system optimization
predictive maintenance
artificial and human intelligence
security
risks and risk management
quality of life
common welfare
socio-political assessment
assembly
process planning systems
concurrent engineering
automotive industry applications
manufacturing industry applications
artificial intelligence
sustainable development
construction
civil engineering
machine learning
construction engineering
cognitive data intelligence
cognitive healthcare
tiny machine learning
6GCIoHE theoretical framework
data science
statistical data processing
predictive analytics
classification
clustering
labor productivity
health management
health-saving strategies
electric power industry
bridge
expansion joint
joint gap
smart bridge maintenance equipment
sensor
structural health monitoring
line-scan camera
machine vision
change management
COVID-19
decision-support model
digitization
employee motivation
employee satisfaction
human resources
software tool
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
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Design and Application of Additive Manufacturing
Design and Application of Additive Manufacturing
Autore Paz Rubén
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (204 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato 4D printing
material extrusion
shape changing behavior
shape memory polymers
print pattern
infill density
polylactic acid
SLM
defocusing
IN 625
melt pool
tensile testing
density
selective laser melting
powder spreading defect
machine vision
classifier
finite element thermal analysis
model calibration
thermographic image
bead on plate test
Bayesian optimization
nickel-based superalloy
tissue engineering
scaffold
material extrusion additive manufacturing
3D geometry modelling
finite element analysis
mechanical properties
additive manufacturing
closed impeller
MPFL pumps
balancing
non-destructive testing
triply periodic minimal surface
316 L stainless steel
energy absorption
deformation mechanism
flexible pressure sensor
microstructure
3D printing
composite film
stress shielding
total hip replacement
femoral component
lattice
3d printing
aseptic loosening
bone remodelling
internal structures
biomimicry
15-5 PH stainless steel
in-situ neutron diffraction
low-cycle fatigue
martensite transformation
structural joints
aging
ABS
PETG
PLA
aluminum
polymer rheology
thermal joining
topological optimization
hybrid technology
investment casting
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595071603321
Paz Rubén  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Entropy in Image Analysis
Entropy in Image Analysis
Autore Sparavigna Amelia Carolina
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (456 p.)
Soggetto non controllato keyframes
time-delay
whale optimization algorithm
multilevel thresholding
multi-exposure image fusion
additive manufacturing
patch structure decomposition
ultra-sound images
3D scanning
Arimoto entropy
contrast enhancement
spatial filling factor
depth maps
image processing
3D prints
differential evolution
field of experts
normalized divergence measure
image privacy
multiscale top-hat transform
q-exponential
texture information entropy
diffusion
hybrid algorithm
Weibull statistics
adaptive selection
nonextensive entropy
computer aided diagnostics
fatty liver
random forest
DNA encoding
low contrast
entropy
Minkowski island
fuzzy entropy
free-form deformations
person re-identification
chaotic system
DNA computing
pavement
information entropy
discrete entropy
Tsallis statistics
video skimming
prime-indexed primes
natural scene statistics (NSS)
Hénon map
q-sigmoid
image entropy
Shannon entropy
macrotexture
Shannon’s entropy
binary image
multi-feature fusion
image analysis
uncertainty assessment
non-rigid registration
hash layer
Cantor set
dynamic filtering
deep neural network
security analysis
multiple-image encryption
Hamming distance
blind image quality assessment (BIQA)
q-Gaussian
remote sensing
decay trend
chaotic cryptography
chaotic strategy
cross-entropy loss
random insertion
metabolic syndrome
sign languages
generalized entropies
relevance feedback
image retrieval
two-dimensional chaotic economic map
cryptanalysis
infrared images
3D Latin cube
SHA-256 hash value
gradient distributions
structural entropy
discrete cosine transform (DCT)
chaotic map
hepatic steatosis
machine vision
electromagnetic field optimization
security
image segmentation
quantization loss
colonoscopy
video summarization
permutation
Kapur’s entropy
surface quality assessment
permutation-diffusion
Ramanujan primes
Rényi entropies
chosen-plaintext attack
image encryption
dynamic index
color image segmentation
ultrasound
Otsu method
sigmoid
reconstruction
image information entropy
3-D digital imaging
positron emission tomography
medical imaging
ISBN 3-03921-093-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346845003321
Sparavigna Amelia Carolina  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolutionary Algorithms in Engineering Design Optimization
Evolutionary Algorithms in Engineering Design Optimization
Autore Greiner David
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (314 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato Automatic Voltage Regulation system
Chaotic optimization
Fractional Order Proportional-Integral-Derivative controller
Yellow Saddle Goatfish Algorithm
two-stage method
mono and multi-objective optimization
multi-objective optimization
optimal design
Gough–Stewart
parallel manipulator
performance metrics
diversity control
genetic algorithm
bankruptcy problem
classification
T-junctions
neural networks
finite elements analysis
surrogate
beam improvements
beam T-junctions models
artificial neural networks (ANN) limited training data
multi-objective decision-making
Pareto front
preference in multi-objective optimization
aeroacoustics
trailing-edge noise
global optimization
evolutionary algorithms
nearly optimal solutions
archiving strategy
evolutionary algorithm
non-linear parametric identification
multi-objective evolutionary algorithms
availability
design
preventive maintenance scheduling
encoding
accuracy levels
plastics thermoforming
sheet thickness distribution
evolutionary optimization
genetic programming
control
differential evolution
reusable launch vehicle
quality control
roughness measurement
machine vision
machine learning
parameter optimization
distance-based
mutation-selection
real application
experimental study
global optimisation
worst-case scenario
robust
min-max optimization
optimal control
multi-objective optimisation
robust design
trajectory optimisation
uncertainty quantification
unscented transformation
spaceplanes
space systems
launchers
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566486903321
Greiner David  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Information Theory and Its Application in Machine Condition Monitoring
Information Theory and Its Application in Machine Condition Monitoring
Autore Li Yongbo
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (194 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato fault detection
deep learning
transfer learning
anomaly detection
bearing
wind turbines
misalignment
fault diagnosis
information fusion
improved artificial bee colony algorithm
LSSVM
D-S evidence theory
optimal bandwidth
kernel density estimation
JS divergence
domain adaptation
partial transfer
subdomain
rotating machinery
gearbox
signal interception
peak extraction
cubic spline interpolation envelope
combined fault diagnosis
empirical wavelet transform
grey wolf optimizer
low pass FIR filter
support vector machine
satellite momentum wheel
Huffman-multi-scale entropy (HMSE)
support vector machine (SVM)
adaptive particle swarm optimization (APSO)
rail surface defect detection
machine vision
YOLOv4
MobileNetV3
multi-source heterogeneous fusion
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566460803321
Li Yongbo  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Autore Tang Bo
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (344 p.)
Soggetto non controllato FPGA
recurrence plot (RP)
residual learning
neural networks
driver monitoring
navigation
depthwise separable convolution
optimization
dynamic path-planning algorithms
object tracking
sub-region
cooperative systems
convolutional neural networks
DSRC
VANET
joystick
road scene
convolutional neural network (CNN)
multi-sensor
p-norm
occlusion
crash injury severity prediction
deep leaning
squeeze-and-excitation
electric vehicles
perception in challenging conditions
T-S fuzzy neural network
total vehicle mass of the front vehicle
electrocardiogram (ECG)
communications
generative adversarial nets
camera
adaptive classifier updating
Vehicle-to-X communications
convolutional neural network
predictive
Geobroadcast
infinity norm
urban object detector
machine learning
automated-manual transition
red light-running behaviors
photoplethysmogram (PPG)
panoramic image dataset
parallel architectures
visual tracking
autopilot
ADAS
kinematic control
GPU
road lane detection
obstacle detection and classification
Gabor convolution kernel
autonomous vehicle
Intelligent Transport Systems
driving decision-making model
Gaussian kernel
autonomous vehicles
enhanced learning
ethical and legal factors
kernel based MIL algorithm
image inpainting
fusion
terrestrial vehicle
driverless
drowsiness detection
map generation
object detection
interface
machine vision
driving assistance
blind spot detection
deep learning
relative speed
autonomous driving assistance system
discriminative correlation filter bank
recurrent neural network
emergency decisions
LiDAR
real-time object detection
vehicle dynamics
path planning
actuation systems
maneuver algorithm
autonomous driving
smart band
the emergency situations
two-wheeled
support vector machine model
global region
biological vision
automated driving
ISBN 3-03921-376-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Machine Learning and Embedded Computing in Advanced Driver Assistance Systems
Record Nr. UNINA-9910367757403321
Tang Bo  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machining—Recent Advances, Applications and Challenges
Machining—Recent Advances, Applications and Challenges
Autore Urbicain Gorka
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (554 p.)
Soggetto non controllato in situ estimation
modeling
simulation
variable pitch
X-ray diffraction
cutting edge preparation
plastic zone
flank milling
surface roughness
power consumption
cutting tool
fatigue
additive manufacturing
optimization
trochoidal step
surface topography
sinusoidal grid
milling
desirability approach
electrochemical discharge machining
fast simulation
Inconel 718
secondary adhesion wear
machinability
hybrid stacks drilling
cooling rate
shape memory alloy
residual stress
diameter variation
turning
computer vision
workholding
on-machine monitoring
chip morphology
dry-cutting
turning machine tools
SACE-drilled hole depth
residual stresses
cryogenic machining
prime machining costs
PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating
single point incremental sheet forming
butt weld joint
dish angle
machining characteristic
DSC test
segmented diamond blade
cutting tool wear
ultra-precision machining
ceramics
shape memory effect
current density
fractal dimension
crack growth rate
drilling
force–temperature correlation through analytical modeling
finite element model
analytic solution
aluminium
taguchi method
multi-objective optimization
real-time prediction
Gamma-TiAl
cutting temperature
EN 31 steel
superalloys
material-removal rate
glass machining
corner radius
thin-wall machining
vibration
GPU
titanium aluminides
minimum quantity lubrication
machining temperatures at two deformation zones
finite element method
roughness
slight materials
high computational efficiency
dynamic
adhesive
heat transfer analysis
connections
stability
vibrations
trochoidal milling
magnesium alloys
specific cutting energy
laser-assisted machining
artificial neutral network
microscopic analysis
Milling stability
topography
weight loss
modal testing
sustainable machining
dry
damping
ductile machining
Inconel® 718
modelling
cutting edge microgeometry
electropulsing
PCD
cutting geometry
fixture
artificial neural networks
spark-assisted chemical engraving
machining
specific energy consumption
heat transfer search algorithm
material removal rate
prediction
CFRP/UNS A92024
tool wear
titanium alloy
multi-beam laser
chip compression ratio
design of experiments
concrete
ANN
titanium
chatter
response surface methodology
machine tool
superelastic nitinol
optimal machining conditions
machine vision
steel sheet
cutting process
fracture mechanism
self-excitation
tool insert condition
induction assisted milling
hole quality
GA
titanium alloys
microlens array
parameter identification
Taguchi method
weld reinforcement
slow tool servo
cutting parameters
flank super abrasive machining (SAM)
stiffness properties
grey relational analysis
deflection
computer numerical control
grain density
surface grinding
the cutting force components
Huber–Mises stress
WEDM
ISBN 3-03921-378-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367565503321
Urbicain Gorka  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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