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Applied Mathematics to Mechanisms and Machines
Applied Mathematics to Mechanisms and Machines
Autore Rubio Alonso Higinio
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (396 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato path generation
dimensional synthesis
hybrid optimization
slider-crank mechanism
hybrid compliant mechanisms
path analysis
numerical methods
elliptic integrals
kinematics
Levenberg–Marquardt algorithm
convergence
neural networks
local minima
optimization
three-legged parallel mechanism
compliant mechanism
flexure-based mechanism
flexure
compliant joint
decoupled motion
coupled motion
stiffness
compliance
suspension algorithm
predictive suspension
land vehicle
sprung mass
autoencoder
aeroengine
denoising
GRU
rotordynamic
adaptive rejection control
sinusoidal disturbance
flexible rotor
hydrodynamic journal bearing
six-bar mechanism
dynamic balancing
fully Cartesian coordinates
multiobjective optimization
differential evolution
Pareto front
serial robotic manipulators
singularity identification
geometric algebra
rotor group
distance to a singularity
air flow medical sensor
emergency air flow sensor
low-cost air flow sensor
nanostructures
COVID-19
FEM analysis
biomechanics
effort mathematical models
NMR reconstruction
reverse engineering
elbow joint
zipper-coupled tubes
Miura-ori pattern
deployable mechanism
origami inspired design
smooth sheet attachment
relative rotation
jump
safe basin
fractal
heteroclinic bifurcation
delayed feedback
helical spring
vibration
Frenet trihedral
dispersion relation
natural frequency
approximate entropy
non-linear systems
phase space reconstruction
fault classification
random forest
support vector machines
lateral dynamics
track parameters
vehicle mathematical modeling
safety vehicle index
ISBN 3-0365-5924-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910639986503321
Rubio Alonso Higinio  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence Applications to Smart City and Smart Enterprise
Artificial Intelligence Applications to Smart City and Smart Enterprise
Autore Impedovo Donato
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (374 p.)
Soggetto topico Information technology industries
Soggetto non controllato spatio-temporal
residual networks
bus traffic flow prediction
advance rate
shield performance
principal component analysis
ANFIS-GA
tunnel
online learning
extreme learning machine
cyclic dynamics
transfer learning
knowledge preservation
Feature Adaptive
optimization
Bacterial Foraging algorithm
Swarm Intelligence algorithm
Isolated Microgrid
traffic surveillance video
state analysis
Grassmann manifold
neural network
machine-learning
quality of life
Better Life Index
bagging
ensemble learning
pedestrian attributes
surveillance image
semantic attributes recognition
multi-label learning
large-scale database
traffic congestion detection
minimizing traffic congestion
traffic prediction
deep learning
urban mobility
ITS
Vehicle-to-Infrastructure
neural networks
LSTM
embeddings
trajectories
motion behavior
smart tourism
driver’s behavior detection
texting and driving
convolutional neural network
smart car
smart cities
smart infotainment
driver distraction
cameras
convolution
detection
image recognition
DSS
diabetes prediction
homecare assistance information system
muti-attribute analysis
artificial training dataset
machine learning
big data
data analysis
sensors
Internet of Things
vehicular networks
VDTN
routing
message scheduling
traffic flow prediction
wavenet
TrafficWave
RNN
GRU
SAEs
risk assessment
neural architecture search
recurrent neural network
automated driving vehicle
decision support system
artificial intelligence
disaster management
Smart city
program management
integrated model
smart city
intelligence transportation system
computer vision
potential pedestrian safety
data mining
healthcare
Apache Spark
disease detection
symptoms detection
Arabic language
Saudi dialect
Twitter
high performance computing (HPC)
spatial-temporal dependencies
traffic periodicity
graph convolutional network
traffic speed prediction
vehicular traffic
surveillance video
big data analysis
autonomous driving
life quality
pattern recognition
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557295703321
Impedovo Donato  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Innovative Topologies and Algorithms for Neural Networks
Innovative Topologies and Algorithms for Neural Networks
Autore Xibilia Maria Gabriella
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (198 p.)
Soggetto topico Information technology industries
Soggetto non controllato facial image analysis
facial nerve paralysis
deep convolutional neural networks
image classification
Chinese text classification
long short-term memory
convolutional neural network
Arabic named entity recognition
bidirectional recurrent neural network
GRU
LSTM
natural language processing
word embedding
CNN
object detection network
attention mechanism
feature fusion
LSTM-CRF model
elements recognition
linguistic features
POS syntactic rules
action recognition
fused features
3D convolution neural network
motion map
long short-term-memory
tooth-marked tongue
gradient-weighted class activation maps
ship identification
fully convolutional network
embedded deep learning
scalability
gesture recognition
human computer interaction
alternative fusion neural network
deep learning
sentiment attention mechanism
bidirectional gated recurrent unit
Internet of Things
convolutional neural networks
graph partitioning
distributed systems
resource-efficient inference
pedestrian attribute recognition
graph convolutional network
multi-label learning
autoencoders
long-short-term memory networks
convolution neural Networks
object recognition
sentiment analysis
text recognition
IoT (Internet of Thing) systems
medical applications
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557553903321
Xibilia Maria Gabriella  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Sensors for Human Motion Analysis
Intelligent Sensors for Human Motion Analysis
Autore Krzeszowski Tomasz
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (382 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato gait recognition
biometrics
regularized discriminant analysis
particle swarm optimization
grey wolf optimization
whale optimization algorithm
FMCW
vital sign
XGBoost
MFCC
COVID-19
3D human pose estimation
deep learning
generalization
optical sensing principle
modular sensing unit
plantar pressure measurement
gait parameters
3D human mesh reconstruction
deep neural network
motion capture
neural networks
reconstruction
gap filling
FFNN
LSTM
BILSTM
GRU
pose estimation
movement tracking
computer vision
artificial intelligence
markerless motion capture
assessment
kinematics
development
machine learning
human action recognition
features fusion
features selection
recognition
fall risk detection
balance
Berg Balance Scale
human tracking
elderly
telemedicine
diagnosis
precedence indicator
knowledge measure
fuzzy inference
rule induction
posture detection
aggregation function
markerless
human motion analysis
gait analysis
data augmentation
skeletal data
time series classification
EMG
pattern recognition
robot
cyber-physical systems
RGB-D sensors
human motion modelling
F-Formation
Kinect v2
Azure Kinect
Zed 2i
socially occupied space
facial expression recognition
facial landmarks
action units
convolutional neural networks
graph convolutional networks
artifact classification
artifact detection
anomaly detection
3D multi-person pose estimation
absolute poses
camera-centric coordinates
deep-learning
ISBN 3-0365-5074-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619469003321
Krzeszowski Tomasz  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui