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.
Machine Learning in Tribology
Machine Learning in Tribology
Autore Tremmel Stephan
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (208 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato amorphous carbon coatings
analysis
artificial intelligence
artificial neural networks
bearing fault diagnosis
BERT
cage instability
condition monitoring
Convolutional Neural Network (CNN)
data mining
databases
digital twin
dynamic friction
evolutionary algorithms
fault data generation
feature engineering
Gaussian processes
Generative Adversarial Network (GAN)
gradient boosting
laser surface texturing
machine learning
meta-modeling
monitoring
n/a
natural language processing
neural networks
optimization
PINN
prediction
random forest
random forest classifier
reduced order modelling
regression
remaining useful life
reynolds equation
rolling bearing dynamics
rolling bearings
rubber seal applications
self-lubricating journal bearings
semi-supervised learning
structure-borne sound
tensor decomposition
texturing during moulding
total knee replacement
tribAIn
tribo-informatics
tribo-testing
triboinformatics
tribology
UHWMPE
unbalanced datasets
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576887003321
Tremmel Stephan  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders
Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders
Autore Suppa Antonio
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (274 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato acceleration
accelerometer
accelerometry
activities of daily life
aging
Alzheimer's disease
asymmetry
autocorrelation
back school
balance
bio-signals
biomedical signal processing
cerebellar ataxia
classification
cueing
CV
diagnosis
dynamic balance
dynamic posturography
dynamic time warping
EEG
EMG
gait
gait analysis
gait assessment
gait disorders
gait metrics
gait patterns
gait smoothness
gait symmetry
GAITRite
harmonic ratio
head injury
healthy subjects
home-monitoring
IMUs
inertial measurement units
inertial sensor
inertial sensors
kinematics
loss of balance
lower back pain
machine learning
mobile gait analysis
movement analysis
multi-regression normalization
multiple sclerosis
near falls
Parkinson's disease
pathological gait
pattern recognition
pedestrian dead-reckoning
personalized medicine
physiological signals
postural stability
posture
posturography
pre-impact fall detection
random forest classifier
reactive postural responses
rehabilitation
reliability
sampling frequency
six-minute walk
stability
step detection
stride segmentation
stroke
SVM
symptoms monitoring
test-retest
test-retest reliability
timed up and go test
trajectory reconstruction
transcranial direct current stimulation
traumatic brain injury
tri-axial accelerometer
trunk
turning analysis
validity
vestibular syndrome
wearable
wearable electronics
wearable sensors
wearables
wireless sensors
yaw perturbation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557446403321
Suppa Antonio  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui