top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Artificial Intelligence-Based Learning Approaches for Remote Sensing
Artificial Intelligence-Based Learning Approaches for Remote Sensing
Autore Jeon Gwanggil
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (382 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Environmental science, engineering & technology
Soggetto non controllato pine wilt disease dataset
GIS application visualization
test-time augmentation
object detection
hard negative mining
video synthetic aperture radar (SAR)
moving target
shadow detection
deep learning
false alarms
missed detections
synthetic aperture radar (SAR)
on-board
ship detection
YOLOv5
lightweight detector
remote sensing image
spectral domain translation
generative adversarial network
paired translation
synthetic aperture radar
ship instance segmentation
global context modeling
boundary-aware box prediction
land-use and land-cover
built-up expansion
probability modelling
landscape fragmentation
machine learning
support vector machine
frequency ratio
fuzzy logic
artificial intelligence
remote sensing
interferometric phase filtering
sparse regularization (SR)
deep learning (DL)
neural convolutional network (CNN)
semantic segmentation
open data
building extraction
unet
deeplab
classifying-inversion method
AIS
atmospheric duct
ship detection and classification
rotated bounding box
attention
feature alignment
weather nowcasting
ResNeXt
radar data
spectral-spatial interaction network
spectral-spatial attention
pansharpening
UAV visual navigation
Siamese network
multi-order feature
MIoU
imbalanced data classification
data over-sampling
graph convolutional network
semi-supervised learning
troposcatter
tropospheric turbulence
intercity co-channel interference
concrete bridge
visual inspection
defect
deep convolutional neural network
transfer learning
interpretation techniques
weakly supervised semantic segmentation
ISBN 3-0365-6084-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910639984703321
Jeon Gwanggil  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clinical Management and Challenges in Polytrauma
Clinical Management and Challenges in Polytrauma
Autore Pfeifer Roman
Descrizione fisica 1 online resource (158 p.)
Soggetto topico Medicine and Nursing
Soggetto non controllato AIS
associated injuries
biomarker
biomechanical force
bleeding
CD14
CD16
CD62L
cloth sling
coagulopathy
E-bike injuries
emergency surgery
endotheliopathy
fMLP
geriatric patients
geriatric trauma
hemorrhage
hemorrhagic shock
I-FABP
immune system
injury pattern comparison
Injury Severity Score (ISS)
intestinal damage
ISS
life-saving intervention
lower extremity
macrocirculation
major trauma
microcirculation
non-invasive external pelvic stabilizers
nutrition wound healing
nutritional deficiencies
orthogeriatric
orthopaedic trauma
outcome
oxygen transport
PCCD
pelvic fractures
pelvic ring fracture
phagocytosis
platelets
PMA
pneumatic pelvic sling VBM®
polytrauma
position
post mortem analysis
posttraumatic hyperinflammation
posttraumatic lung dysfunction
posttraumatic organ failure
prehospital death
reactive oxygen species
resuscitation
SAM Sling®
scoring
shock
T-POD®
trauma
trauma system
trauma team competence
trauma victims
traumatic injury
vitamins
wound complications
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595079503321
Pfeifer Roman  
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing in Vessel Detection and Navigation
Remote Sensing in Vessel Detection and Navigation
Autore Heiselberg Henning
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (286 p.)
Soggetto topico Research & information: general
Soggetto non controllato adaptive stochastic resonance (ASR)
aircraft
AIS
altitude
automatic radar plotting aid
autonomous navigation
autonomous underwater vehicles (AUVs)
bag-of-words mechanism
bathymetric measurements
bathymetry
complex background
computer simulation
convolutional neural network (CNN)
cross track error (XTE)
edge detection
false alarm
farbon dioxide peaks
feature extraction
flight campaign
formation
FTIR
game theory
GLMB
group targets
HRRP
hydrographic survey
image analysis
image processing
inland waterway
Iridium
jet stream
line enhancer
loss function
machine learning
marine system
maritime situational awareness
matched intrawell response
midwave infrared
motion attitude model
multi-Global Navigation Satellite System (GNSS) receiver
multi-stage rotational detection network (MSRDN)
multi-stage rotational region based network (MSR2N)
multiscale and small ship detection
multispectral
navigation
neural network
nonlinear filter
on-board
parallax
position estimation
ranging mode
real-time communication
real-time detection
remote sensing
residual structure
river monitoring system
rotated anchor generation
safe objects control
Sentinel-2
ship
ship classification
ship detection
single shore station
six-degrees-of-freedom motion
SSL
straight-line fitting
structure
synthetic aperture radar (SAR)
synthetic aperture radar (SAR) ship detection
target recognition
target tracking
temporal offsets
trajectory tracking
unmanned surface vehicle
Unmanned Surface Vessel (USV)
velocity
vessel detection
video monitoring
visual saliency
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557112803321
Heiselberg Henning  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smart Sensors and Devices in Artificial Intelligence
Smart Sensors and Devices in Artificial Intelligence
Autore Zhang Dan
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (336 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato adaptive hedge algorithm
adaptive landing
adverse weather
air pollution
air quality monitoring
AIS
ankle-foot exoskeleton
artificial intelligence
artificial neural network
atmospheric data
audification
autonomous vehicle
banana ripening
cable tension measurement
clamping force estimation
CNN
CO2 welding
color histogram
correlation filter
data augmentation
data fusion
data processing
data streams
deep learning
DenseNet
distributed
energy-efficient
ethylene gas
evacuation path
FBG
fruit condition monitoring
fuzzy functional dependencies
HF-OTH radar
inertial measurement unit
IoT
joint torque disturbance observer
landing gear
link establishment behaviors
local outlier factor
long short term memory recurrent neural networks
LSTM
machine learning
maritime surveillance
mechanical sensor
microelectromechanical systems
molten pool
multi-story multi-exit building
multi-time-slots planning
n/a
online monitoring
optimization
outlier detection
PSO-BPNN
queue length
radar tracking
reliable
RNN
roadside LiDAR
roadside sensor
scenario generation
self-adaptiveness
sensor
Sensors
short-wave radio station
signal recognition
smart cities
smart sensor and device
smart sensors
speech to text
surgical robot end-effector
task assignment
temperature sensors
text to speech
traffic flow
traffic forecasting
unidimensional ACGAN
vehicle classification
vehicle detection
visual tracking
visualization
walking assistance
wireless sensor network
wireless sensor networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557128403321
Zhang Dan  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui