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Advances and Novel Approaches in Discrete Optimization
Advances and Novel Approaches in Discrete Optimization
Autore Werner Frank
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (354 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato forgotten index
balaban index
reclassified the zagreb indices
ABC4 index
GA5 index
HDN3(m)
THDN3(m)
RHDN3(m)
degree of vertex
extended adjacency index
scheduling with rejection
machine non-availability
operator non-availability
dynamic programming
FPTAS
Transportation
batching scheduling
total weighted completion time
unary NP-hard
approximation algorithm
bi-criteria scheduling
online algorithm
makespan
maximum machine cost
competitive ratio
network optimization
dynamic flow
evacuation planning
contraflow configuration
partial lane reversals, algorithms and complexity
logistic supports
scheduling algorithm
release-time
due-date
divisible numbers
lateness
bin packing
time complexity
batch scheduling
linear deterioration
job families
Max-cut problem
combinatorial optimization
deep learning
pointer network
supervised learning
reinforcement learning
capacitated lot sizing
mixed integer formulation
retail
inventory
shortages
graph
join product
crossing number
cyclic permutation
arithmetic mean
combinatorial generation
method
algorithm
AND/OR tree
Euler-Catalan's triangle
labeled Dyck path
ranking algorithm
unranking algorithm
Harris hawks optimizer
load frequency control
sensitivity analysis
smart grid
particle swarm optimization
genetic algorithm
meta-heuristics
packing
irregular 3D objects
quasi-phi-function s
nonlinear optimization
single-machine scheduling
minimization of maximum penalty
dual problem
inverse problem
branch and bound
LNS
numerical conversion
RISC
FPGA
embedded systems
scheduling
job-shop
makespan criterion
uncertain processing times
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557686003321
Werner Frank  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
Autore Berthold Michael
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, : Springer Nature, 2020
Descrizione fisica 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Data mining
Computers
Machine learning
Computer organization
Database Management
Data Mining and Knowledge Discovery
Computing Milieux
Machine Learning
Computer Systems Organization and Communication Networks
Soggetto non controllato Database Management
Data Mining and Knowledge Discovery
Computing Milieux
Machine Learning
Computer Systems Organization and Communication Networks
open access
data mining
learning systems
classification
clustering
semantics
learning algorithms
supervised learning
association rules
social networks
graphic methods
neural networks
artificial intelligence
computer vision
correlation analysis
databases
education
engineering
graph theory
image analysis
Databases
Database programming
Data mining
Expert systems / knowledge-based systems
Information technology: general issues
Machine learning
Computer networking & communications
ISBN 3-030-44584-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization.
Record Nr. UNISA-996418219903316
Berthold Michael  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Artificial Intelligence and Ambient Intelligence
Artificial Intelligence and Ambient Intelligence
Autore Gams Matjaz
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (142 p.)
Soggetto topico Information technology industries
Soggetto non controllato robotic hand
control
perception
tactile sensing
mechatronics
grasping
manipulation
PUT-Hand
underactuated
multi-modal fusion
machine learning
robotics
perception for grasping
effective computing
emotion system
emotional machine
agent
human-machine interface
Wi-Fi
CSI
crowd counting
Doppler spectrum
information society
electronics
artificial intelligence
ambient intelligence
one-dimensional depth sensor
biometrics
identification
affective computing
cognitive load
psychophysiology
supervised learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557343203321
Gams Matjaz  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computational Methods for Medical and Cyber Security
Computational Methods for Medical and Cyber Security
Autore Luo Suhuai
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (228 p.)
Soggetto non controllato fintech
financial technology
blockchain
deep learning
regtech
environment
social sciences
machine learning
learning analytics
student field forecasting
imbalanced datasets
explainable machine learning
intelligent tutoring system
adversarial machine learning
transfer learning
cognitive bias
stock market
behavioural finance
investor’s profile
Teheran Stock Exchange
unsupervised learning
clustering
big data frameworks
fault tolerance
stream processing systems
distributed frameworks
Spark
Hadoop
Storm
Samza
Flink
comparative analysis
a survey
data science
educational data mining
supervised learning
secondary education
academic performance
text-to-SQL
natural language processing
database
machine translation
medical image segmentation
convolutional neural networks
SE block
U-net
DeepLabV3plus
cyber-security
medical services
cyber-attacks
data communication
distributed ledger
identity management
RAFT
HL7
electronic health record
Hyperledger Composer
cybersecurity
password security
browser security
social media
ANOVA
SPSS
internet of things
cloud computing
computational models
metaheuristics
phishing detection
website phishing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595066903321
Luo Suhuai  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Deep Learning Applications with Practical Measured Results in Electronics Industries
Deep Learning Applications with Practical Measured Results in Electronics Industries
Autore Kung Hsu-Yang
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (272 p.)
Soggetto non controllato faster region-based CNN
visual tracking
intelligent tire manufacturing
eye-tracking device
neural networks
A*
information measure
oral evaluation
GSA-BP
tire quality assessment
humidity sensor
rigid body kinematics
intelligent surveillance
residual networks
imaging confocal microscope
update mechanism
multiple linear regression
geometric errors correction
data partition
Imaging Confocal Microscope
image inpainting
lateral stage errors
dot grid target
K-means clustering
unsupervised learning
recommender system
underground mines
digital shearography
optimization techniques
saliency information
gated recurrent unit
multivariate time series forecasting
multivariate temporal convolutional network
foreign object
data fusion
update occasion
generative adversarial network
CNN
compressed sensing
background model
image compression
supervised learning
geometric errors
UAV
nonlinear optimization
reinforcement learning
convolutional network
neuro-fuzzy systems
deep learning
image restoration
neural audio caption
hyperspectral image classification
neighborhood noise reduction
GA
MCM uncertainty evaluation
binary classification
content reconstruction
kinematic modelling
long short-term memory
transfer learning
network layer contribution
instance segmentation
smart grid
unmanned aerial vehicle
forecasting
trajectory planning
discrete wavelet transform
machine learning
computational intelligence
tire bubble defects
offshore wind
multiple constraints
human computer interaction
Least Squares method
ISBN 3-03928-864-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404080403321
Kung Hsu-Yang  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Genomics and Models of Nerve Sheath Tumors
Genomics and Models of Nerve Sheath Tumors
Autore Hirbe Angela C
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (172 p.)
Soggetto topico Medicine
Soggetto non controllato neurofibromatosis type 1
nerve sheath tumor
cancer
latent variables
machine learning
supervised learning
transfer learning
random forest
metaVIPER
tumor deconvolution
neurofibromatosis
malignant peripheral nerve sheath tumor
MPNST
polycomb repressive complex
PRC2
NF1
kinase
kinome adaptation
kinome reprogramming
MET
MEK
doxorubicin
capmatinib
tram
genomics
tumor evolution
pathology
next generation sequencing
clinical genetics
malignant peripheral nerve sheath tumors
plexiform neurofibromas
Schwann cells
neurofibromatosis type 1 syndrome
neurofibromin 1
genetically engineered mouse models
heterogeneity
CRISPR/Cas9
mouse models
sarcoma
tumor microenvironment
neurofibromatosis 1 (NF1)
mebendazole (MBZ)
COX-2 inhibitor
malignancy
chemoprevention
nerve sheath tumors
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557484703321
Hirbe Angela C  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Metabolomics Data Processing and Data Analysis—Current Best Practices
Metabolomics Data Processing and Data Analysis—Current Best Practices
Autore Hanhineva Kati
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (276 p.)
Soggetto topico Research & information: general
Soggetto non controllato metabolic networks
mass spectral libraries
metabolite annotation
metabolomics data mapping
nontarget analysis
liquid chromatography mass spectrometry
compound identification
tandem mass spectral library
forensics
wastewater
gut microbiome
meta-omics
metagenomics
metabolomics
metabolic reconstructions
genome-scale metabolic modeling
constraint-based modeling
flux balance
host–microbiome
metabolism
global metabolomics
LC-MS
spectra processing
pathway analysis
enrichment analysis
mass spectrometry
liquid chromatography
MS spectral prediction
metabolite identification
structure-based chemical classification
rule-based fragmentation
combinatorial fragmentation
time series
PLS
NPLS
variable selection
bootstrapped-VIP
data repository
computational metabolomics
reanalysis
lipidomics
data processing
triplot
multivariate risk modeling
environmental factors
disease risk
chemical classification
in silico workflows
metabolome mining
molecular families
networking
substructures
mass spectrometry imaging
metabolomics imaging
biostatistics
ion selection algorithms
liquid chromatography high-resolution mass spectrometry
data-independent acquisition
all ion fragmentation
targeted analysis
untargeted analysis
R programming
full-scan MS/MS processing
R-MetaboList 2
liquid chromatography–mass spectrometry (LC/MS)
fragmentation (MS/MS)
data-dependent acquisition (DDA)
simulator
in silico
untargeted metabolomics
liquid chromatography–mass spectrometry (LC-MS)
experimental design
sample preparation
univariate and multivariate statistics
metabolic pathway and network analysis
LC–MS
metabolic profiling
computational statistical
unsupervised learning
supervised learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557354403321
Hanhineva Kati  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Piezoelectric Transducers : Materials, Devices and Applications
Piezoelectric Transducers : Materials, Devices and Applications
Autore Sanchez-Rojas Jose Luis
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (524 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato cylindrical composite
piezoceramic/epoxy composite
electromechanical characteristics
transducer
piezoelectric actuators
positioning
trajectory control
numerical analysis
trajectory planning
square piezoelectric vibrator
resonance
piezoelectric diaphragm pump
flexible support
piezoelectric resonance pump
piezoelectric ceramics actuators
hysteresis modeling
Bouc-Wen model
P-type IL
MFA control
SM control
evidence theory
active vibration control
piezoelectric smart structure
piezoelectric material
multiphysics simulation
finite element method (FEM)
fluid-structure interaction (FSI)
micro electromechanical systems (MEMS)
traveling waves
piezoelectric
microactuator
MEMS
piezoelectric current sensing device
two-wire power cord
cymbal structure
force amplification effect
sensitivity
ciliary bodies touch beam
piezoelectric tactile feedback devices
anisotropic vibration tactile model
human factor experiment
nondestructive testing
maturity method
concrete early-age strength
SmartRock
ultrasonic waves
PZT (piezoelectric) sensors
structural health monitoring
AlN thin film
piezoelectric effect
resonant accelerometer
z-axis
debonding
non-destructive testing
electromechanical impedance
damage detection
impedance-based technique
damage depth
piezoelectric vibration energy harvester
frequency up-conversion mechanism
impact
PZT thick film
piezoelectric ceramic materials
Duhem model
hysteresis model
class-C power amplifier
diode expander
piezoelectric transducers
point-of-care ultrasound systems
transverse impact
frequency up-conversion
piezoelectric bimorph
human-limb motion
hybrid energy harvester
cascade-connected transducer
low frequency
small size
finite element
acoustic telemetry
measurement while drilling
energy harvesting
pipelines
underwater networks
wireless sensor networks
control algorithm
waterproof
coating
reliability
flexible micro-devices
aqueous environments
seawater
capacitive pressure sensors
in-situ pressure sensing
sensor characterization
physiological applications
cardiac output
aluminum nitride
resonator
damping
quality factor
electromechanical coupling
implantable middle ear hearing device
piezoelectric transducer
stimulating site
finite element analysis
hearing compensation
adaptive lens
piezoelectric devices
fluid-structure interaction
moving mesh
thermal expansion
COMSOL
petroleum acoustical-logging
piezoelectric cylindrical-shell transducer
center-frequency
experimental-measurement
piezoelectricity
visual servo control
stepping motor
nano-positioner
stick-slip
piezoelectric energy harvester
cut-in wind speed
cut-out wind speed
energy conservation method
critical stress method
piezoelectric actuator
lever mechanism
analytical model
stick-slip frication
nanopositioning stage
piezoelectric hysteresis
mark point recognition
piecewise fitting
compensation control
piezo-electromagnetic coupling
up-conversion
vibration energy harvester
multi-directional vibration
low frequency vibration
hysteresis compensation
single-neuron adaptive control
Hebb learning rules
supervised learning
vibration-based energy harvesting
multimodal structures
frequency tuning
nonlinear resonator
bistability
magnetostatic force
robot
miniature
traveling wave
leg
piezoelectric actuators (PEAs)
asymmetric hysteresis
Prandtl-Ishlinskii (PI) model
polynomial-modified PI (PMPI) model
feedforward hysteresis compensation
PIN-PMN-PT
1-3 composite
high frequency
phased array
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Piezoelectric Transducers
Record Nr. UNINA-9910674028803321
Sanchez-Rojas Jose Luis  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensors for Gait, Posture, and Health Monitoring Volume 1
Sensors for Gait, Posture, and Health Monitoring Volume 1
Autore Lockhart Thurmon
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (410 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato step detection
machine learning
outlier detection
transition matrices
autoencoders
ground reaction force (GRF)
micro electro mechanical systems (MEMS)
gait
walk
bipedal locomotion
3-axis force sensor
shoe
force distribution
multi-sensor gait classification
distributed compressed sensing
joint sparse representation classification
telemonitoring of gait
operating range
accelerometer
stride length
peak tibial acceleration
running velocity
wearable sensors
feedback technology
rehabilitation
motor control
cerebral palsy
inertial sensors
gait events
spatiotemporal parameters
postural control
falls in the elderly
fall risk assessment
low-cost instrumented insoles
foot plantar center of pressure
flexible sensor
gait recognition
piezoelectric material
wearable
adaptability
force sensitive resistors
self-tuning triple threshold algorithm
sweat sensor
sweat rate
dehydration
IoT
PDMS
surface electromyography
handgrip force
force-varying muscle contraction
nonlinear analysis
wavelet scale selection
inertial measurement unit
gyroscope
asymmetry
feature extraction
gait analysis
lower limb prosthesis
trans-femoral amputee
MR damper
knee damping control
inertial measurement units
motion analysis
kinematics
functional activity
repeatability
reliability
biomechanics
cognitive frailty
cognitive-motor impairment
Alzheimer's disease
motor planning error
instrumented trail-making task
ankle reaching task
dual task walking
nondestructive
joint moment
partial weight loading
muscle contributions
sit-to-stand training
motion parameters
step length
self-adaptation
Parkinson's disease (PD)
tremor dominant (TD)
postural instability and gait difficulty (PIGD)
center of pressure (COP)
fast Fourier transform (FFT)
wavelet transform (WT)
fall detection system
smartphones
accelerometers
machine learning algorithms
supervised learning
ANOVA analysis
Step-detection
ActiGraph
Pedometer
acceleration
physical activity
physical function
physical performance test
chair stand
sit to stand transfer
wearables
gyroscopes
e-Health application
physical rehabilitation
shear and plantar pressure sensor
biaxial optical fiber sensor
multiplexed fiber Bragg gratings
frailty
pre-frail
wearable sensor
sedentary behavior
moderate-to-vigorous activity
steps
fall detection
elderly people monitoring
telerehabilitation
virtual therapy
Kinect
eHealth
telemedicine
insole
injury prevention
biomechanical gait variable estimation
inertial gait variable
total knee arthroplasty
falls in healthy elderly
fall prevention
biometrics
human gait recognition
ground reaction forces
Microsoft Kinect
high heels
fusion data
ensemble classifiers
accidental falls
older adults
neural networks
convolutional neural network
long short-term memory
accelerometry
obesity
nonlinear
electrostatic field sensing
gait measurement
temporal parameters
artificial neural network
propulsion
aging
walking
smart footwear
frailty prediction
fall risk
smartphone based assessments
adverse post-operative outcome
intelligent surveillance systems
human fall detection
health and well-being
safety and security
movement control
anterior cruciate ligament
kinetics
real-time feedback
biomechanical gait features
impaired gait classification
pattern recognition
sensors
clinical
knee
osteoarthritis
shear stress
callus
woman
TUG
IMU
geriatric assessment
semi-unsupervised
self-assessment
domestic environment
functional decline
symmetry
trunk movement
autocorrelation
gait rehabilitation
wearable device
IMU sensors
gait classification
stroke patients
neurological disorders
scanning laser rangefinders (SLR), GAITRite
cadence
velocity and stride-length
power
angular velocity
human motion measurement
sensor fusion
complementary filter
fuzzy logic
inertial and magnetic sensors
ESOQ-2
Parkinson's disease
UPDRS
movement disorders
human computer interface
RGB-Depth
hand tracking
automated assessment
at-home monitoring
Parkinson's Diseases
motorized walker
haptic cue
gait pattern
statistics study
walk detection
step counting
signal processing
plantar pressure
flat foot
insoles
force sensors
arch index
sports analytics
deep learning
classification
inertial sensor
cross-country skiing
classical style
skating style
batteryless strain sensor
wireless strain sensor
resonant frequency modulation
Ecoflex
human activity recognition
smartphone
human daily activity
ensemble method
running
velocity
smart shoe
concussion
inertial motion units (IMUs)
vestibular exercises
validation
motion capture
user intent recognition
transfemoral prosthesis
multi-objective optimization
biogeography-based optimization
smart cane
weight-bearing
health monitoring
wearable/inertial sensors
regularity
variability
human
motion
locomotion
UPDRS tasks
posture
postural stability
center of mass
RGB-depth
neurorehabilitation
hallux abductus valgus
high heel
proximal phalanx of the hallux
abduction
valgus
ultrasonography
Achilles tendon
diagnostic
imaging
tendinopathy
foot insoles
electromyography
joint instability
muscle contractions
motorcycling
wearable electronic devices
validity
relative movement
lower limb prosthetics
biomechanic measurement tasks
quantifying socket fit
rehabilitation exercise
dynamic time warping
automatic coaching
exergame
fine-wire intramuscular EMG electrode
non-human primate model
traumatic spinal cord injury
wavelet transform
relative power
linear mixed model
VO2
calibration
MET
VO2net
speed
equivalent speed
free-living
children
adolescents
adults
gait event detection
hemiplegic gait
appropriate mother wavelet
acceleration signal
wavelet-selection criteria
conductive textile
stroke
hemiparetic
real-time monitoring
lower limb locomotion activity
triplet Markov model
semi-Markov model
on-line EM algorithm
human kinematics
phase difference angle
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557426503321
Lockhart Thurmon  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensors for Gait, Posture, and Health Monitoring Volume 2
Sensors for Gait, Posture, and Health Monitoring Volume 2
Autore Lockhart Thurmon
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (392 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato step detection
machine learning
outlier detection
transition matrices
autoencoders
ground reaction force (GRF)
micro electro mechanical systems (MEMS)
gait
walk
bipedal locomotion
3-axis force sensor
shoe
force distribution
multi-sensor gait classification
distributed compressed sensing
joint sparse representation classification
telemonitoring of gait
operating range
accelerometer
stride length
peak tibial acceleration
running velocity
wearable sensors
feedback technology
rehabilitation
motor control
cerebral palsy
inertial sensors
gait events
spatiotemporal parameters
postural control
falls in the elderly
fall risk assessment
low-cost instrumented insoles
foot plantar center of pressure
flexible sensor
gait recognition
piezoelectric material
wearable
adaptability
force sensitive resistors
self-tuning triple threshold algorithm
sweat sensor
sweat rate
dehydration
IoT
PDMS
surface electromyography
handgrip force
force-varying muscle contraction
nonlinear analysis
wavelet scale selection
inertial measurement unit
gyroscope
asymmetry
feature extraction
gait analysis
lower limb prosthesis
trans-femoral amputee
MR damper
knee damping control
inertial measurement units
motion analysis
kinematics
functional activity
repeatability
reliability
biomechanics
cognitive frailty
cognitive-motor impairment
Alzheimer's disease
motor planning error
instrumented trail-making task
ankle reaching task
dual task walking
nondestructive
joint moment
partial weight loading
muscle contributions
sit-to-stand training
motion parameters
step length
self-adaptation
Parkinson's disease (PD)
tremor dominant (TD)
postural instability and gait difficulty (PIGD)
center of pressure (COP)
fast Fourier transform (FFT)
wavelet transform (WT)
fall detection system
smartphones
accelerometers
machine learning algorithms
supervised learning
ANOVA analysis
Step-detection
ActiGraph
Pedometer
acceleration
physical activity
physical function
physical performance test
chair stand
sit to stand transfer
wearables
gyroscopes
e-Health application
physical rehabilitation
shear and plantar pressure sensor
biaxial optical fiber sensor
multiplexed fiber Bragg gratings
frailty
pre-frail
wearable sensor
sedentary behavior
moderate-to-vigorous activity
steps
fall detection
elderly people monitoring
telerehabilitation
virtual therapy
Kinect
eHealth
telemedicine
insole
injury prevention
biomechanical gait variable estimation
inertial gait variable
total knee arthroplasty
falls in healthy elderly
fall prevention
biometrics
human gait recognition
ground reaction forces
Microsoft Kinect
high heels
fusion data
ensemble classifiers
accidental falls
older adults
neural networks
convolutional neural network
long short-term memory
accelerometry
obesity
nonlinear
electrostatic field sensing
gait measurement
temporal parameters
artificial neural network
propulsion
aging
walking
smart footwear
frailty prediction
fall risk
smartphone based assessments
adverse post-operative outcome
intelligent surveillance systems
human fall detection
health and well-being
safety and security
movement control
anterior cruciate ligament
kinetics
real-time feedback
biomechanical gait features
impaired gait classification
pattern recognition
sensors
clinical
knee
osteoarthritis
shear stress
callus
woman
TUG
IMU
geriatric assessment
semi-unsupervised
self-assessment
domestic environment
functional decline
symmetry
trunk movement
autocorrelation
gait rehabilitation
wearable device
IMU sensors
gait classification
stroke patients
neurological disorders
scanning laser rangefinders (SLR), GAITRite
cadence
velocity and stride-length
power
angular velocity
human motion measurement
sensor fusion
complementary filter
fuzzy logic
inertial and magnetic sensors
ESOQ-2
Parkinson's disease
UPDRS
movement disorders
human computer interface
RGB-Depth
hand tracking
automated assessment
at-home monitoring
Parkinson's Diseases
motorized walker
haptic cue
gait pattern
statistics study
walk detection
step counting
signal processing
plantar pressure
flat foot
insoles
force sensors
arch index
sports analytics
deep learning
classification
inertial sensor
cross-country skiing
classical style
skating style
batteryless strain sensor
wireless strain sensor
resonant frequency modulation
Ecoflex
human activity recognition
smartphone
human daily activity
ensemble method
running
velocity
smart shoe
concussion
inertial motion units (IMUs)
vestibular exercises
validation
motion capture
user intent recognition
transfemoral prosthesis
multi-objective optimization
biogeography-based optimization
smart cane
weight-bearing
health monitoring
wearable/inertial sensors
regularity
variability
human
motion
locomotion
UPDRS tasks
posture
postural stability
center of mass
RGB-depth
neurorehabilitation
hallux abductus valgus
high heel
proximal phalanx of the hallux
abduction
valgus
ultrasonography
Achilles tendon
diagnostic
imaging
tendinopathy
foot insoles
electromyography
joint instability
muscle contractions
motorcycling
wearable electronic devices
validity
relative movement
lower limb prosthetics
biomechanic measurement tasks
quantifying socket fit
rehabilitation exercise
dynamic time warping
automatic coaching
exergame
fine-wire intramuscular EMG electrode
non-human primate model
traumatic spinal cord injury
wavelet transform
relative power
linear mixed model
VO2
calibration
MET
VO2net
speed
equivalent speed
free-living
children
adolescents
adults
gait event detection
hemiplegic gait
appropriate mother wavelet
acceleration signal
wavelet-selection criteria
conductive textile
stroke
hemiparetic
real-time monitoring
lower limb locomotion activity
triplet Markov model
semi-Markov model
on-line EM algorithm
human kinematics
phase difference angle
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557672103321
Lockhart Thurmon  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
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