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Additive Manufacturing Research and Applications
Additive Manufacturing Research and Applications
Autore Ertas Atila
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (338 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato powder-bed additive manufacturing (AM)
powder spreading
spreading process map
discrete element method (DEM)
machine learning
GMA additive manufacturing
weld reinforcement
visual features
neural network
selective laser melting
magnesium alloys
properties
plasma metal deposition
additive manufacturing
316L
processing conditions
mechanical properties
microstructure
virgin
recycled
metal powders
laser powder bed fusion
laser additive manufacturing
316l ss
nickel alloy
tribological behavior
porosity
rough surface
ultrasonic testing
convolutional neural network
deep neural network
multi-layer perceptron
key performance indicators
topology optimization
design for additive manufacturing
design for additive manufacturing services
selective laser melting (SLM)
laser powder bed fusion (LPBF)
powder
particle size distribution
particle morphology
powder layer density
part density
flowability
Hausner ratio
electron beam melting
customized implant
cost analysis
fitting accuracy
cranial reconstruction
thin wall manufacturing
process modelling
ultrasonic vibration
laser directed energy deposition
coating
TiC-TMC
extremity
revision
limb salvage surgery
3D printing
customized
implant
powder metallurgy
simulated body fluid
biomaterial
fatigue
titanium
direct laser deposition
Inconel 625
parametrisation
microhardness
preheating
binder jetting
sand casting
aluminum alloy
corrosion
pressure drop
heat exchanger
surface textures
dimples
drag reduction
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576882303321
Ertas Atila  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Methods of Power Load Forecasting
Advanced Methods of Power Load Forecasting
Autore García-Díaz J. Carlos
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (128 p.)
Soggetto topico Research & information: general
Physics
Soggetto non controllato Prophet model
Holt–Winters model
long-term forecasting
peak load
prophet model
multiple seasonality
time series
demand
load
forecast
DIMS
irregular
galvanizing
short-term electrical load forecasting
machine learning
deep learning
statistical analysis
parameters tuning
CNN
LSTM
short-term load forecast
Artificial Neural Network
deep neural network
recurrent neural network
attention
encoder decoder
online training
bidirectional long short-term memory
multi-layer stacked
neural network
short-term load forecasting
power system
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576883403321
García-Díaz J. Carlos  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Welding Technology in Metals
Advanced Welding Technology in Metals
Autore Oliveira João Pedro
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (446 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato friction stir welding
dissimilar metals
temperature
process conditions
guidelines
resistance heat-assisted ultrasonic welding
mechanical properties
fracture morphology
intermetallic compounds
microstructure
double-pulsed
robot operation
fuzzy comprehensive evaluation
orthogonal experimental design
short-circuiting gas metal arc welding
waveform control method
weld pool oscillation and flow
high speed photograph
image processing
continuous wavelet transform
K-TIG
heat input
weld formation
tensile properties
welding procedure optimisation
tungsten inert gas welding
friction stir processing
dissimilar aluminium alloys joints
dissimilar metal joints
welding
high entropy alloys
laser welding
review
tensile strength
flexural strength
dissimilar aluminium alloys
numerical finite-element modeling
analytical Rosenthal equation
thermal regime
AA5456
aluminum alloy
fiber laser-MIG hybrid
CMT
MIG
hybrid joints
hardness
ASTM A553-1 (9% nickel steel)
penetration shape
Bead on Plate (BOP)
pulsed GMAW
droplet transfer
weld bead formation
droplet impact force
double-pulsed gas metal arc welding (DP-GMAW)
droplet impingement pressure
weld pool oscillation
grain refinement
constitutional supercooling
deep neural network
high strength steel
laser beam welding
penetration
quality assessment
spectrometer
welding seam root
metal flow behavior
root flaw
pin length
Incomplete penetration
weak connection
real time
infrared thermography
camera
microhardness
plasma arc welding
hot wire
laser oscillating welding
high temperature titanium alloy
laser impact welding
interfacial bonding mechanism
interface wave
diffusion
TA1/Q235B composite sheets
rolling temperature
explosive welding
microstructures
dissimilar welding
aluminum
fracture
friction welding
Ti-6Al-4V
nitinol
intermetallic compound
fractography
dissimilar metal joining
dissimilar friction stir welding
AA2024-T4/AA7075-T6Al alloys
t-butt joints
microstructure evaluation
EBSD
fracture surfaces
texture
investment casting
alloy 718
hot cracking mechanism
Varestraint test
ISBN 3-0365-5676-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637792003321
Oliveira João Pedro  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
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
Opac: Controlla la disponibilità qui
Artificial Intelligence for Multimedia Signal Processing
Artificial Intelligence for Multimedia Signal Processing
Autore Kim Byung-Gyu
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (212 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato human-height estimation
depth video
depth 3D conversion
artificial intelligence
convolutional neural networks
deep neural network
convolutional neural network
environmental sound recognition
feature combination
multimodal joint representation
content curation social networks
different recommend tasks
content based recommend systems
scene/place classification
semantic segmentation
deep learning
weighting matrix
speech enhancement
generative adversarial network
relativistic GAN
lightweight neural network
single image super-resolution
image enhancement
image restoration
residual dense networks
visual sentiment analysis
sentiment classification
graph convolutional networks
generative adversarial networks
traffic surveillance image processing
image de-raining
fluency evaluation
speech recognition
data augmentation
variational autoencoder
speech conversion
heartbeat classification
convolutional neural network (CNN)
canonical correlation analysis (CCA)
Indian Sign Language (ISL)
natural language processing
avatar
sign movement
context-free grammar
object detection
logical story unit detection (LSU)
object re-ID
computer vision
image processing
single image artifacts reduction
dense networks
residual networks
channel attention networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595077003321
Kim Byung-Gyu  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Autore Kyamakya Kyandoghere
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (550 p.)
Soggetto topico Technology: general issues
Soggetto non controllato subject-dependent emotion recognition
subject-independent emotion recognition
electrodermal activity (EDA)
deep learning
convolutional neural networks
automatic facial emotion recognition
intensity of emotion recognition
behavioral biometrical systems
machine learning
artificial intelligence
driving stress
electrodermal activity
road traffic
road types
Viola-Jones
facial emotion recognition
facial expression recognition
facial detection
facial landmarks
infrared thermal imaging
homography matrix
socially assistive robot
EEG
arousal detection
valence detection
data transformation
normalization
mental stress detection
electrocardiogram
respiration
in-ear EEG
emotion classification
emotion monitoring
elderly caring
outpatient caring
stress detection
deep neural network
convolutional neural network
wearable sensors
psychophysiology
sensor data analysis
time series analysis
signal analysis
similarity measures
correlation statistics
quantitative analysis
benchmarking
boredom
emotion
GSR
classification
sensor
face landmark detection
fully convolutional DenseNets
skip-connections
dilated convolutions
emotion recognition
physiological sensing
multimodal sensing
flight simulation
activity recognition
physiological signals
thoracic electrical bioimpedance
smart band
stress recognition
physiological signal processing
long short-term memory recurrent neural networks
information fusion
pain recognition
long-term stress
electroencephalography
perceived stress scale
expert evaluation
affective corpus
multimodal sensors
overload
underload
interest
frustration
cognitive load
stress research
affective computing
human-computer interaction
deep convolutional neural network
transfer learning
auxiliary loss
weighted loss
class center
stress sensing
smart insoles
smart shoes
unobtrusive sensing
stress
center of pressure
regression
signal processing
arousal
aging adults
musical genres
emotion elicitation
dataset
emotion representation
feature selection
feature extraction
computer science
virtual reality
head-mounted display
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557346003321
Kyamakya Kyandoghere  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Empirical Finance
Empirical Finance
Autore Hamori Shigeyuki
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (276 p.)
Soggetto non controllato short-term forecasting
wavelet transform
IPO
volatility
US dollar
institutional investors’ shareholdings
neural network
financial market stress
market microstructure
text similarity
TVP-VAR model
Japanese yen
convolutional neural networks
global financial crisis
deep neural network
cross-correlation function
boosting
causality-in-variance
flight to quality
bagging
earnings quality
algorithmic trading
stop loss
statistical arbitrage
ensemble learning
liquidity risk premium
gold return
futures market
take profit
currency crisis
spark spread
city banks
piecewise regression model
financial and non-financial variables
exports
data mining
latency
crude oil futures prices forecasting
random forests
wholesale electricity
SVM
random forest
bank credit
deep learning
Vietnam
inertia
MACD
initial public offering
text mining
bankruptcy prediction
exchange rate
asset pricing model
LSTM
panel data model
structural break
credit risk
housing and stock markets
copula
ARDL
earnings manipulation
machine learning
natural gas
housing price
asymmetric dependence
real estate development loans
earnings management
cointegration
predictive accuracy
robust regression
quantile regression
dependence structure
housing loans
price discovery
utility of international currency
ATR
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346675203321
Hamori Shigeyuki  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Energy Data Analytics for Smart Meter Data
Energy Data Analytics for Smart Meter Data
Autore Reinhardt Andreas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (346 p.)
Soggetto topico Technology: general issues
Soggetto non controllato smart grid
nontechnical losses
electricity theft detection
synthetic minority oversampling technique
K-means cluster
random forest
smart grids
smart energy system
smart meter
GDPR
data privacy
ethics
multi-label learning
Non-intrusive Load Monitoring
appliance recognition
fryze power theory
V-I trajectory
Convolutional Neural Network
distance similarity matrix
activation current
electric vehicle
synthetic data
exponential distribution
Poisson distribution
Gaussian mixture models
mathematical modeling
machine learning
simulation
Non-Intrusive Load Monitoring (NILM)
NILM datasets
power signature
electric load simulation
data-driven approaches
smart meters
text convolutional neural networks (TextCNN)
time-series classification
data annotation
non-intrusive load monitoring
semi-automatic labeling
appliance load signatures
ambient influences
device classification accuracy
NILM
signature
load disaggregation
transients
pulse generator
smart metering
smart power grids
power consumption data
energy data processing
user-centric applications of energy data
convolutional neural network
energy consumption
energy data analytics
energy disaggregation
real-time
smart meter data
transient load signature
attention mechanism
deep neural network
electrical energy
load scheduling
satisfaction
Shapley Value
solar photovoltaics
review
deep learning
deep neural networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557645803321
Reinhardt Andreas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Engineering Fluid Dynamics 2019-2020 : Volume 2
Engineering Fluid Dynamics 2019-2020 : Volume 2
Autore Hjertager Bjørn
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (202 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato CFD
gap resonance
hydrodynamic forces
free surface waves
URANS
twin-box deck
aerodynamics
vortex shedding
splash lubrication
dynamic motion
gearbox
churning power losses
non-inertial coordinate system
ground roughness
hill shape
hill slope
large-eddy simulations
turbulent flow fields
turbulent structure
computational fluid dynamics (CFD)
large eddy simulations (LES)
3D hill
canopy
flow fields
radiation
blocked-off-region procedure
heat recuperation
anisotropic scattering
mie particles
numerical simulation
horizontal face angle
energy dissipation rates
stepped spillway
ultra-low specific speed magnetic drive pump
orthogonal test
splitter blades
optimized design
pressure fluctuation
radial force
dilution
turbulent flame
premixed
OH
CH2O
planar laser-induced fluorescence
self-excited oscillation jet
organ–Helmholtz nozzle
pulse waterjet
pressure pulsation amplitude
WMLES
VLSMs
LSMs
turbulent boundary flow
roughness
surrogate model
deep neural network
multiphase flow
horizontal pipe
liquid holdup
pressure gradient
coherent structures
turbulent boundary layer
stability
pre-multiplied wind velocity spectrum
spatial correlation coefficient field
tunnel fires
jet fan speed
heat release rate
aspect ratio
smoke movement
visibility
smoke layer thickness
smoke stratification
orifice shape
vertical jet
velocity ratio
numerical investigation
hydraulic characteristics
impinging water jet
impinging height
numerical calculation
swirler
optimized
genetic algorithms
recirculation
combustion
experimental validation
welding spatter
distribution
shield arc metal welding
particle heat transfer
fire risk
sprinkler
fire dynamics simulator (FDS)
fire suppression
extinguishing coefficient
smoke logging
smoke spread
pipe insulation
fire growth rate index
scale factor
volume fraction
ignition heat source
maximum heat release rate
time to reach maximum HRR (heat release rate)
control
cylinder
energy efficiency
clamping
pneumatics
unsteady RANS simulation
two-phase flow
riser-induced slug flow
LedaFlow
VOF-model
evacuation
interaction between smoke and evacuees
inner smoke force
modified BR-smoke model
twin H-rotor vertical-axis turbines
wake
instability
wavelet transform
computational fluid dynamics (CFD), multiphysics
heat transfer
thermoelectricity
automotive
traditional market
fire spread rate
radiant heat flux
separation distance
rotor stator interaction
boundary layer
secondary vortex
unsteady flow
submerged jet
climate change
renewable energy
wind power
accelerators
turbines
power extraction
Betz
freestream theory
hybrid simulation method
multi-fluid model
discrete element method, sedimentation, bed formation
PIV
shell-and-tube
shell side
tube bundle
heat exchanger
baffle
maldistribution
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Engineering Fluid Dynamics 2019-2020
Record Nr. UNINA-9910557117703321
Hjertager Bjørn  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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