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.
Advanced Sensing and Control for Connected and Automated Vehicles
Advanced Sensing and Control for Connected and Automated Vehicles
Autore Huang Chao
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (284 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato TROOP
truck platooning
path planning
kalman filter
V2V communication
string stability
off-tracking
articulated cargo trucks
kabsch algorithm
potential field
sigmoid curve
autonomous vehicles
connected and autonomous vehicles
artificial neural networks
end-to-end learning
multi-task learning
urban vehicle platooning
simulation
attention
executive control
simulated driving
task-cuing experiment
electroencephalogram
fronto-parietal network
object vehicle estimation
radar accuracy
data-driven
radar latency
weighted interpolation
autonomous vehicle
urban platooning
vehicle-to-vehicle communication
in-vehicle network
analytic hierarchy architecture
traffic scenes
object detection
multi-scale channel attention
attention feature fusion
collision warning system
ultra-wideband
dead reckoning
time to collision
vehicle dynamic parameters
Unscented Kalman Filter
multiple-model
electric vehicle
unified chassis control
unsprung mass
autonomous driving
trajectory tracking
real-time control
model predictive control
tyre blow-out
yaw stability
roll stability
vehicle dynamics model
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566481403321
Huang Chao  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sustainable Assessment in Supply Chain and Infrastructure Management
Sustainable Assessment in Supply Chain and Infrastructure Management
Autore Kabir Golam
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (274 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato green supply chain
performance measurement
Bayesian belief network
sustainability
trenchless technologies
pipelines
construction
social cost
fuzzy QFD
flexibility
IT flexibility
importance‒performance analysis
partial least squared structured equation modelling
performance gap
sustainable growth
higher educational institutions
academic buildings
environmental performance
performance benchmarking
fuzzy clustering analysis
metabolic flows
green supply chain management
carbon tax and cap
can-order policy
mixed-integer programming
fuzzy constraints
social sustainability
small- and medium-sized enterprises (SMEs)
stakeholder support
social sustainability awareness
transport networks
logistics
simulation games
serious games
innovation ecosystem
Port of Rotterdam
complex systems
truck platooning
barge transport
multi-sided platforms
Bayesian
geoadditive
quantile
P-splines
boosting optimization
resilience
housing infrastructure
flood hazard and sensitivity analysis
shipping cost
risk assessment and management
conditional value-at-risk
investment projects
financial analysis
economic analysis
energy efficiency
public buildings
literature review
multi-criteria decision-making
MCDM methods
sustainable supply chain management
SSCM
efficiency assessment
operations strategy matrix
data envelopment analysis
healthcare systems
COVID-19
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580206603321
Kabir Golam  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui