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ERP and EEG Markers of Brain Visual Attentional Processing
ERP and EEG Markers of Brain Visual Attentional Processing
Autore Zani Alberto
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (220 p.)
Soggetto topico Psychology
Soggetto non controllato selective attention
mental ability
P3 latency
continuous performance test
mental speed
EEG
alpha
xi
Posner
covert attention
object-based attention
hemispheric asymmetry
ERP
selection negativity
swLORETA
anterior cingulate cortex
visual recognition
mTBI
event-related potentials
visual–attentional processing
brain connectivity
neuropsychological measures
postconcussion symptoms
rsvp
lure stimuli
priming
ERPs
N2pc
perception
video
visual motion
speed
cortex
rhythm
entrainment
working-memory training
cognitive remediation
P1
P3b
N500
late posterior negative slow wave
late parietal negativity
ADHD
performance monitoring
error processing
visual sustained selective attention
voluntary control
self-regulation
executive functions
preschool children
ACT–R
Dipole analysis
spiking simulation
FFT
alpha desynchronization
attention orienting
alerting
attention inhibition
neurocognitive perceptual and motor workload
hypoxia
overt motor responses
hemispheric lateralization
category learning
eeg
machine learning
erp
memory
learning
multiple memory systems
p300
brain visual attentional processing
neural markers
intracerebral single and distributed electric source localization analyses
hemodynamic imaging
psychological sciences
cognitive neurosciences
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557733603321
Zani Alberto  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
UAVs for Vegetation Monitoring
UAVs for Vegetation Monitoring
Autore de Castro Megías Ana
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (452 p.)
Soggetto topico Research & information: general
Soggetto non controllato UAS
UAV
vegetation cover
multispectral
land cover
forest
Acacia
Indonesia
tropics
vegetation ground cover
vegetation indices
agro-environmental measures
olive groves
southern Spain
sUAS
water stress
ornamental
container-grown
artificial intelligence
machine learning
deep learning
neural network
visual recognition
precision agriculture
canopy cover
image analysis
crop mapping
evapotranspiration (ET)
GRAPEX
remote sensing
Two Source Energy Balance model (TSEB)
contextual spatial domain/resolution
data aggregation
eddy covariance (EC)
Fusarium wilt
crop disease
banana
multispectral remote sensing
purple rapeseed leaves
unmanned aerial vehicle
U-Net
plant segmentation
nitrogen stress
Glycine max
RGB
canopy height
close remote sensing
growth model
curve fitting
NDVI
solar zenith angle
flight altitude
time of day
operating parameters
CNN
Faster RCNN
SSD
Inception v2
patch-based CNN
MobileNet v2
detection performance
inference time
disease detection
cotton root rot
plant-level
single-plant
plant-by-plant
classification
UAV remote sensing
crop monitoring
RGB imagery
multispectral imagery
century-old biochar
semantic segmentation
random forest
crop canopy
multispectral image
chlorophyll content
remote sensing technique
individual plant segmentation
plant detection
transfer learning
maize tassel
tassel branch number
convolution neural network
VGG16
plant nitrogen estimation
vegetation index
image segmentation
transpiration
method comparison
oil palm
multiple linear regression
support vector machine
artificial neural network
UAV hyperspectral
wheat yellow rust
disease monitoring
texture
spatial resolution
RGB camera
thermal camera
drought tolerance
forage grass
HSV
CIELab
broad-sense heritability
phenotyping gap
high throughput field phenotyping
UAV digital images
winter wheat biomass
multiscale textures
red-edge spectra
least squares support vector machine
variable importance
drone
hyperspectral
thermal
nutrient deficiency
weed detection
disease diagnosis
plant trails
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557661103321
de Castro Megías Ana  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui