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AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) / / Kuan-Chuan Peng, Ziyan Wu
AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) / / Kuan-Chuan Peng, Ziyan Wu
Autore Peng Kuan-Chuan
Pubbl/distr/stampa Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022
Descrizione fisica 1 electronic resource (186 p.)
Disciplina 006.3
Soggetto topico Technology: general issues
Artificial intelligence
History of engineering & technology
Soggetto non controllato permutation equivariance
optimization
gender bias
fairness
face-recognition models
facial attributes
social bias
bias detection
natural language processing
temporal bias
forecasting
contrastive learning
supervised contrastive learning
transfer learning
robustness
noisy labels
coresets
deep learning
contextualized embeddings
out-of-distribution generalization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto About the Editors -- Statement of Peer Review -- Electricity Consumption Forecasting for Out-of-Distribution Time-of-Use Tariffs -- Measuring Embedded Human-Like Biases in Face Recognition Models -- Measuring Gender Bias in Contextualized Embeddings -- The Details Matter: Preventing Class Collapsein Supervised Contrastive Learning -- DAP-SDD: Distribution-Aware Pseudo Labeling for Small Defect Detection -- Quantifying Bias in a Face -- Verification System -- Super-Resolution for Brain MR Images from a Significantly Small Amount of Training Data -- Dual Complementary Prototype Learning for Few-Shot Segmentation -- Extracting Salient Facts from Company Reviews with Scarce Labels -- Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data -- Age Should Not Matter: -- Towards More Accurate Pedestrian Detection via Self-Training.
Altri titoli varianti AAAI Workshop on Artificial Intelligence with Biased or Scarce Data
Record Nr. UNINA-9910585937403321
Peng Kuan-Chuan  
Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Adsorption Desalination and Cooling Systems: Advances in Design, Modeling and Performance
Adsorption Desalination and Cooling Systems: Advances in Design, Modeling and Performance
Autore Krzywanski Jaroslaw
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (260 p.)
Soggetto topico Technology: general issues
Chemical engineering
Soggetto non controllato adsorption chiller
coefficient of performance
desalination
energy efficiency
low-temperature heat
silica gel
specific cooling power
waste heat recovery
sorption processes
deep learning
neural networks
Long Short-Term Memory (LSTM)
additives
sorption capacity
sorption process time
kinetics sorption
adsorption
exergy
dead state
adsorption cooling
reheat cycle, mass recovery
chiller
adsorptive water harvesting from the atmosphere
metal-organic frameworks
MIL-160
water vapor adsorption
specific water productivity
specific energy consumption
zeolite
SAPO-34
mass recovery
variable mode
adsorption working pairs
coated beds
comparative analysis
natural refrigerants
preheating
steam
copper
cycle time
CFD
metal organic silica
nanocomposites
sorption
thermal diffusivity
ISBN 3-0365-5914-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Adsorption Desalination and Cooling Systems
Record Nr. UNINA-9910637784303321
Krzywanski Jaroslaw  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
Autore Woźniak Marcin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (454 p.)
Soggetto topico Information technology industries
Soggetto non controllato Traffic sign detection and tracking (TSDR)
advanced driver assistance system (ADAS)
computer vision
3D convolutional neural networks
machine learning
CT brain
brain hemorrhage
visual inspection
one-class classifier
grow-when-required neural network
evolving connectionist systems
automatic design
bio-inspired techniques
artificial bee colony
image analysis
feature extraction
ship classification
marine systems
citrus
pests and diseases identification
convolutional neural network
parameter efficiency
vehicle detection
YOLOv2
focal loss
anchor box
multi-scale
deep learning
neural network
generative adversarial network
synthetic images
tool wear monitoring
superalloy tool
image recognition
object detection
UAV imagery
vehicular traffic flow detection
vehicular traffic flow classification
vehicular traffic congestion
video classification
benchmark
semantic segmentation
atrous convolution
spatial pooling
ship radiated noise
underwater acoustics
surface electromyography (sEMG)
convolution neural networks (CNNs)
hand gesture recognition
fabric defect
mixed kernels
cross-scale
cascaded center-ness
deformable localization
continuous casting
surface defects
3D imaging
defect detection
object detector
object tracking
activity measure
Yolo
deep sort
Hungarian algorithm
optical flows
spatiotemporal interest points
sports scene
CT images
convolutional neural networks
hepatic cancer
visual question answering
three-dimensional (3D) vision
reinforcement learning
human-robot interaction
few shot learning
SVM
CNN
cascade classifier
video surveillance
RFI
artefacts
InSAR
image processing
pixel convolution
thresholding
nearest neighbor filtering
data acquisition
augmented reality
pose estimation
industrial environments
information retriever sensor
multi-hop reasoning
evidence chains
complex search request
high-speed trains
hunting
non-stationary
feature fusion
multi-sensor fusion
unmanned aerial vehicles
drone detection
UAV detection
visual detection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557360703321
Woźniak Marcin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Computational Methods for Oncological Image Analysis
Advanced Computational Methods for Oncological Image Analysis
Autore Rundo Leonardo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (262 p.)
Soggetto topico Medicine
Soggetto non controllato melanoma detection
deep learning
transfer learning
ensemble classification
3D-CNN
immunotherapy
radiomics
self-attention
breast imaging
microwave imaging
image reconstruction
segmentation
unsupervised machine learning
k-means clustering
Kolmogorov-Smirnov hypothesis test
statistical inference
performance metrics
contrast source inversion
brain tumor segmentation
magnetic resonance imaging
survey
brain MRI image
tumor region
skull stripping
region growing
U-Net
BRATS dataset
incoherent imaging
clutter rejection
breast cancer detection
MRgFUS
proton resonance frequency shift
temperature variations
referenceless thermometry
RBF neural networks
interferometric optical fibers
breast cancer
risk assessment
machine learning
texture
mammography
medical imaging
imaging biomarkers
bone scintigraphy
prostate cancer
semisupervised classification
false positives reduction
computer-aided detection
breast mass
mass detection
mass segmentation
Mask R-CNN
dataset partition
brain tumor
classification
shallow machine learning
breast cancer diagnosis
Wisconsin Breast Cancer Dataset
feature selection
dimensionality reduction
principal component analysis
ensemble method
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557353503321
Rundo Leonardo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Control and Estimation Concepts, and New Hardware Topologies for Future Mobility
Advanced Control and Estimation Concepts, and New Hardware Topologies for Future Mobility
Autore Assadian Francis F
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (236 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato independent-wheel drive
steering assistance
nonlinear system
active disturbance rejection control
smooth road feeling
city bus transport
electric vehicles
electrification
software tool
planning
control
charging management
simulation
analysis
energy management
hybrid electric vehicle
powertrain electrification
equivalent consumption minimization
supercharging
hardware-in-the-loop experiments
driving force distribution
decentralized traction system
4WD electric vehicle
energy efficiency
traction control
efficiency optimization
air mobility
fuel cell hybrid aircraft
stochastic optimal control
drift counteraction optimal control
normal force estimation
unbiased minimum variance estimation
controller output observer
youla parameterization
adaptive cruise control
automated driving
energy-saving
fuel-saving
optimal control
passenger comfort
new energy vehicles
speed prediction
macroscopic traffic model
traffic big-data
deep learning
vehicle lateral dynamic and control
unresolved issues
application of speed prediction
electric vehicle
hybrid vehicle
lithium ion
ultracapacitor
battery aging
EHB
EMB
EWB
system modeling
bond graph
optimization
control design
Youla parameterization
robust control
nonlinear optimization
brake-by-wire
actuator
electro-mechanical brake
electronic wedge brake
electro-hydraulic brake
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566481303321
Assadian Francis F  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Autore Bazi Yakoub
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (438 p.)
Soggetto topico Research & information: general
Soggetto non controllato synthetic aperture radar
despeckling
multi-scale
LSTM
sub-pixel
high-resolution remote sensing imagery
road extraction
machine learning
DenseUNet
scene classification
lifting scheme
convolution
CNN
image classification
deep features
hand-crafted features
Sinkhorn loss
remote sensing
text image matching
triplet networks
EfficientNets
LSTM network
convolutional neural network
water identification
water index
semantic segmentation
high-resolution remote sensing image
pixel-wise classification
result correction
conditional random field (CRF)
satellite
object detection
neural networks
single-shot
deep learning
global convolution network
feature fusion
depthwise atrous convolution
high-resolution representations
ISPRS vaihingen
Landsat-8
faster region-based convolutional neural network (FRCNN)
single-shot multibox detector (SSD)
super-resolution
remote sensing imagery
edge enhancement
satellites
open-set domain adaptation
adversarial learning
min-max entropy
pareto ranking
SAR
Sentinel–1
Open Street Map
U–Net
desert
road
infrastructure
mapping
monitoring
deep convolutional networks
outline extraction
misalignments
nearest feature selector
hyperspectral image classification
two stream residual network
Batch Normalization
plant disease detection
precision agriculture
UAV multispectral images
orthophotos registration
3D information
orthophotos segmentation
wildfire detection
convolutional neural networks
densenet
generative adversarial networks
CycleGAN
data augmentation
pavement markings
visibility
framework
urban forests
OUDN algorithm
object-based
high spatial resolution remote sensing
Generative Adversarial Networks
post-disaster
building damage assessment
anomaly detection
Unmanned Aerial Vehicles (UAV)
xBD
feature engineering
orthophoto
unsupervised segmentation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557747903321
Bazi Yakoub  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Intelligent Control through Versatile Intelligent Portable Platforms
Advanced Intelligent Control through Versatile Intelligent Portable Platforms
Autore Vladareanu Luige
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (322 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato Passive Brain Signals
adaptive automation and controller
EOG artifact
independent component analysis
engagement index
lower limb
rehabilitation robot
motion intention acquisition
static torque sensor
quadcopter
drone
pollutant
carbon
air monitoring
kernel
cyber-physical systems
intelligent cyber enterprise
systems interface
user experience
accessibility
autism spectrum disorder
game-based learning
systematic literature review
exoskeleton hand
fractional order model
control
human–robot interaction
training task
multi-sensor system
quantum particle swarm optimization
support vector machines
microinjection sensor
PDMS capillary
micro-wire
picolitre volume measurement
MPWM microfluidic transport
β-Ga2O3
nanowires
oxidation
silver catalyst
electrical conductivity
photodetector
automatic distortion rectification
wide-angle lens
fish-eye lens
advanced driver-assistance system (ADAS)
video-surveillance
vision tasks
connected bike
smart technologies
IoT
personalized training
embedded
back-end
front-end
Android
modules
MQTT
monitoring
3D scanning
3D shape reconstruction
RGB-D sensors
imperfect data
hybrid neural networks
computer vision
deep learning
convolutional neural networks
advanced intelligent control
facial emotion recognition
face recognition
NAO robot
critical infrastructures
positioning system
optical measurements
fiducial markers
adaptive kalman
measurement fusion
software sensor data
machine-learning classifier
smartphone security
intelligent control
robot control intelligent sensor systems
intelligent decision support systems
versatile intelligent portable platforms
new technologies
adaptive sensor networks
virtual and augmented reality
intelligent remote control and communication
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557530303321
Vladareanu Luige  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
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 Operation and Maintenance in Solar Plants, Wind Farms and Microgrids
Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids
Autore Hernández-Callejo Luis
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (366 p.)
Soggetto topico Research & information: general
Physics
Soggetto non controllato wind turbine
electric generator
spectral analysis
fault diagnosis
photovoltaic power forecasting
data-driven
deep learning
variational autoencoders
RNN
angle swinging
grid frequency oscillations
electromechanical system
inertial masses
microgrids
coordination protection
distributed generation
photovoltaic resources
DigSILENT
photovoltaic module
defect detection
power plant
efficiency
thermal image
photovoltaic aging
dark I-V curves
bidirectional power inverter
online distributed measurement of dark I-V curves
sustainability
compressive strength
Bolomey formula
sustainable concrete
glass powder
solar cell
solar panel
parameter extraction
analytical
Lambert W-function
spacecraft solar panels
I-V curve
modeling
wind power
non-conventional renewable energy
forecasting
energy bands
combinatorial optimization
deep learning (DL)
unmanned aerial vehicle (UAV)
photovoltaic (PV) systems
image-processing
image segmentation
semantic segmentation
faults diagnostic
artificial intelligence
unbalanced datasets
synthetic data
artificial neural network based MPPT
hybrid boost converter
renewable energies
solar power system
microgrid
control system
storage system
primary control
photovoltaic (PV) plants
coverage path planning (CPP)
corrosion monitoring
FPGA
offshore wind turbines
ultrasound
thickness loss
SCADA
visualisation
software
wind-turbine
windfarm
cross-platform
HMI
GUI
corrosion
monitoring
photovoltaic systems
expected energy models
fleet-scale
lasso regression
performance modeling
machine learning
fault location in photovoltaic arrays
failure modes simulation
fault detection criterion
adaptive protection
distributed power generation
power distribution
power system protection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566457603321
Hernández-Callejo Luis  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
Autore Gómez Vela Francisco A
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (100 p.)
Soggetto topico Research & information: general
Technology: general issues
Soggetto non controllato deep learning
energy demand
temporal convolutional network
time series forecasting
time series
forecasting
exponential smoothing
electricity demand
residential building
energy efficiency
clustering
decision tree
time-series forecasting
evolutionary computation
neuroevolution
photovoltaic power plant
short-term forecasting
data processing
data filtration
k-nearest neighbors
regression
autoregression
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557776003321
Gómez Vela Francisco A  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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