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.
Emerging Sensor Technology in Agriculture
Emerging Sensor Technology in Agriculture
Autore Fuentes Sigfredo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (240 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato apple orchards
modeling and simulation
unmanned aerial vehicles
fruit ripeness
ethylene gas detection
3D crop modeling
remote sensing
on-ground sensing
depth images
parameter acquisition
capacitor sensor
deposit mass
pesticide droplets
formulations
ionization
CFD
airflow field test
monitoring method
spectral sensor
crop growth
computer vision
deep learning
image processing
pose estimation
animal detection
precision livestock
Citrus sinensis L. Osbeck
mechanical harvesting
acceleration sensor
vibration time
logistic regression
adaptive thresholding
fruit detection
parameter tuning
phenotype
phenotyping
phenomics
Triticum aestivum
water deficit
stress
infrared
leaf area index
cocoa beans
volatile compounds
artificial neural networks
VitiCanopy app
bushfires
infrared thermography
near-infrared spectroscopy
smoke taint
artificial intelligence
Kinect sensor
RGB
RGB-D
image segmentation
colour thresholding
bunch area
bunch volume
point cloud
mesh
surface reconstruction
image analysis
cluster morphology
machine learning
non-invasive sensing technologies
proximal sensing
precision viticulture
partial least square
support vector machine
Gaussian processes
soybean
pigeon pea
guar
tepary bean
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557295003321
Fuentes Sigfredo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smart Sensors for Healthcare and Medical Applications
Smart Sensors for Healthcare and Medical Applications
Autore Formica Domenico
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (432 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato radiation-induced current
dosimetry
photodiodes
phototransistors (MOSFETs)
photovoltaic sensor
CCD/CMOS
cancer nodules detection
phantom
stiffness analysis
ultrasound analysis
visual analysis
automatic robotic platform
remote support for pathologists
gait analysis
gait correction
electrostatic gait signal
improved Detrended Cross-Correlation Analysis cross-correlation coefficient
measuring system
measurements
contactless
respiratory rate
breathing pattern
ECG electrode swaps
ECG electrode potentials
WCT potential change
reconstructing correct ECG leads
MSMinv transformation
unicolor limb-chest electrodes
torsional wave
cervix
pregnancy
cervical stiffness
fiber Bragg gratings
smart textiles
wearable systems
cardiac monitoring
respiratory monitoring
precision sports
archery
body pressure distribution
air-filled cell
alternating pressure air mattress
time of flight
air flow
active control system
mobile EEG recordings
montage-replaceable headsets
BCI
fiber Bragg grating
plastic optical fiber
non-invasive measurement
pulse wave signals
blood pressure
partial least squares regression
people counting
bi-directional
motion detection
time of flight sensor
force myography
prosthetic fitting
regression
calibration
error reduction
linear regression
random forest
general regression neural network
cross-talk
force sensitive resistor
MRI
EMG
graph theory
electrical network
muscle activity
forearm
COPD
oxygen concentrator
oxygen therapy
automatic oxygen concentrator
physical activity
machine learning
respiratory medicine
portable oxygen concentrator
oxygen delivery
cerebral palsy
game-based rehabilitation exercises
computerized assessment methods
motion tracking sensors
Kinect sensor
EEG
PPG
epilepsy
signal processing
brain monitoring
artificial neural network
predictive analysis
dietary monitoring
healthcare
ring-type biosensor
personalized digital medicine
frailty syndrome
sit-to-stand
30-s chair stand test
wearable sensors
fetal movement simulator
fetal movement monitor
maternal abdomen model
acoustic sensor
accelerometer
piezoelectric diaphragm
fiber Bragg grating sensors (FBGs)
functional magnetic resonance imaging (fMRI)
grasping actions detection
motor assessment
MR-compatible measuring systems
abdominal movement signal
hypopnea
LSTM-RNN
neural network
oxygen saturation
sleep apnea syndrome
sleep-wake detection
synchrosqueezing transform
triaxial accelerometer
thoracic movement signal
multiple sclerosis
kinematics
surface EMG
accelerator
inertial sensor
T10MW
markerless motion capture
automatic pushing analysis
SCI patients
RGB-D sensors
respiration monitoring
non-contact monitoring
body movements detection
thermal imaging
natural sleep environments
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557489003321
Formica Domenico  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Machine Learning for Human Behaviour Analysis
Statistical Machine Learning for Human Behaviour Analysis
Autore Moeslund Thomas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (300 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato multi-objective evolutionary algorithms
rule-based classifiers
interpretable machine learning
categorical data
hand sign language
deep learning
restricted Boltzmann machine (RBM)
multi-modal
profoundly deaf
noisy image
ensemble methods
adaptive classifiers
recurrent concepts
concept drift
stock price direction prediction
toe-off detection
gait event
silhouettes difference
convolutional neural network
saliency detection
foggy image
spatial domain
frequency domain
object contour detection
discrete stationary wavelet transform
attention allocation
attention behavior
hybrid entropy
information entropy
single pixel single photon image acquisition
time-of-flight
action recognition
fibromyalgia
Learning Using Concave and Convex Kernels
Empatica E4
self-reported survey
speech emotion recognition
3D convolutional neural networks
k-means clustering
spectrograms
context-aware framework
accuracy
false negative rate
individual behavior estimation
statistical-based time-frequency domain and crowd condition
emotion recognition
gestures
body movements
Kinect sensor
neural networks
face analysis
face segmentation
head pose estimation
age classification
gender classification
singular point detection
boundary segmentation
blurring detection
fingerprint image enhancement
fingerprint quality
speech
committee of classifiers
biometric recognition
multimodal-based human identification
privacy
privacy-aware
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557288403321
Moeslund Thomas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui