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Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
Autore Leon Florin
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (362 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato large margin nearest neighbor regression
distance metrics
prototypes
evolutionary algorithm
approximate differential optimization
multiple point hill climbing
adaptive sampling
free radical polymerization
autonomous driving
object tracking
trajectory prediction
deep neural networks
stochastic methods
applied machine learning
classification and regression
data mining
ensemble model
engineering informatics
gender-based violence in Mexico
twitter messages
class imbalance
k-nearest neighbor
instance-based learning
graph neural network
deep learning
hyperparameters
machine learning
optimization
inference
metaheuristics
animal-inspired
exploration
exploitation
hot rolled strip steel
surface defects
defect classification
knockout tournament
dynamic programming algorithm
computational complexity
combinatorics
intelligent transport systems
traffic control
spatial-temporal variable speed limit
multi-agent systems
reinforcement learning
distributed W-learning
urban motorways
multi-agent framework
NET framework
simulations
agent-based systems
agent algorithms
software design
multisensory fingerprint
interoperability
DeepFKTNet
classification
generative adversarial networks
image classification
transfer learning
plastic bottle
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Advances in Artificial Intelligence
Record Nr. UNINA-9910580212403321
Leon Florin  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain
Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain
Autore Sarkar Biswajit
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (618 p.)
Soggetto non controllato Supply chain management
benchmarking
simulation
mathematical analytic tools and techniques
system reliability
Trade-credit financing
order allocation
decomposition principle
efficiency and scatter plots
sustainable healthcare system
workplace stress
optimization
defective rate
electric power distribution
newsvendor
inspection
energy
air quality
triangular fuzzy number
quality control
supplier selection
multi-stage production system
robustness
offline inspection
workers’ efficiency
transshipments
imperfect products
process imperfection
Bayesian approach
imperfect production
inventory modelling and optimization
information asymmetry
supply chain management
framework for agile distributed development
human-based production system
lead-time reduction
staff absenteeism
inventory control
fuzzy analytical hierarchy process (FAHP)
sustainable
develop strategies
fuzzy optimization
preventive maintenance
imperfect quality
refrigerated trucks
petrochemical industries
economic order quantity (EOQ)
defectives
substitute and complimentary items
production modelling
stochastic-petri net modeling
supply chain inventory
defective products
transport infrastructure
data envelopment analysis
advertisement
e-commerce
price discounts
recurrent states
variable demand
machine breakdown
industry 4.0
rough interval
partial trade credit
business performance
mixed integer nonlinear programming
fixed charge
preservation technology investment
repairable system
multicriteria decision making (MCDM)
managerial considerations and managerial decisions
four-dimensional transportation problem
time series analysis
permissible delays in payments
integer linear programming
process mean
backordering
stochastic-price dependent demand
controllable probabilistic deterioration rate
budget constraint
likelihood ratio test
radio frequency identification
rework
supplier selection process
deteriorating items
smart production
scheduling
green data envelopment analysis (GDEA)
Cash discounts
learning behavior
imperfect manufacturing system
inspection cost
airborne particulate matter
reworking
fuzzy demand
optimal algorithms
distributed development
sustainability
distribution-free approach
decision support systems
evolutionary algorithm
backorder
inspection errors
waste reduction
resilient supply chain
space constraint
hybrid manufacturing- remanufacturing strategy
edible oil
complementary products
CLSC management
carbon emission
change point detection
revenue sharing
production
random defective rate
pricing policy
agile development
inventory
mathematical solution procedure
reliability threshold
outgoing quality
disruption risks
multi-objective
strict quasi-concavity
optimized limits
uncertain information
full trade credit
customer acquisition cost
Lean manufacturing
imperfect repair
substitutable products
dynamic job-shop scheduling
patient’s queue
application program interfaces in agile distributed projects
internet of things
deterioration
O2O channel
targeting model
lean manufacturing
multidimensional scaling
technical and super-efficiencies
pricing
ISBN 3-03928-523-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674019903321
Sarkar Biswajit  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolutionary Algorithms in Engineering Design Optimization
Evolutionary Algorithms in Engineering Design Optimization
Autore Greiner David
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (314 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato Automatic Voltage Regulation system
Chaotic optimization
Fractional Order Proportional-Integral-Derivative controller
Yellow Saddle Goatfish Algorithm
two-stage method
mono and multi-objective optimization
multi-objective optimization
optimal design
Gough–Stewart
parallel manipulator
performance metrics
diversity control
genetic algorithm
bankruptcy problem
classification
T-junctions
neural networks
finite elements analysis
surrogate
beam improvements
beam T-junctions models
artificial neural networks (ANN) limited training data
multi-objective decision-making
Pareto front
preference in multi-objective optimization
aeroacoustics
trailing-edge noise
global optimization
evolutionary algorithms
nearly optimal solutions
archiving strategy
evolutionary algorithm
non-linear parametric identification
multi-objective evolutionary algorithms
availability
design
preventive maintenance scheduling
encoding
accuracy levels
plastics thermoforming
sheet thickness distribution
evolutionary optimization
genetic programming
control
differential evolution
reusable launch vehicle
quality control
roughness measurement
machine vision
machine learning
parameter optimization
distance-based
mutation-selection
real application
experimental study
global optimisation
worst-case scenario
robust
min-max optimization
optimal control
multi-objective optimisation
robust design
trajectory optimisation
uncertainty quantification
unscented transformation
spaceplanes
space systems
launchers
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566486903321
Greiner David  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolutionary Computation
Evolutionary Computation
Autore Alavi Amir
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (424 p.)
Soggetto non controllato individual updating strategy
integrated design
global optimum
flexible job shop scheduling problem
whale optimization algorithm
EHO
bat algorithm with multiple strategy coupling (mixBA)
multi-objective DV-Hop localization algorithm
optimization
rock types
variable neighborhood search
biology
average iteration times
CEC2013 benchmarks
slicing tree structure
firefly algorithm (FA)
benchmark
single loop
evolutionary computation
memetic algorithm
normal cloud model
0-1 knapsack problems
elite strategy
diversity maintenance
material handling path
artificial bee colony algorithm (ABC)
urban design
entropy
evolutionary algorithms (EAs)
monarch butterfly optimization
numerical simulation
architecture
set-union knapsack problem
Wilcoxon test
convolutional neural network
global position updating operator
particle swarm optimization
computation
minimum load coloring
topology structure
adaptive multi-swarm
minimum total dominating set
mutation operation
shape grammar
greedy optimization algorithm
?-Hilbert space
genetic algorithm
large scale optimization
large-scale optimization
NSGA-II-DV-Hop
constrained optimization problems (COPs)
first-arrival picking
transfer function
SPEA 2
stochastic ranking (SR)
wireless sensor networks (WSNs)
acceleration search
convergence point
fuzzy c-means
evolutionary algorithm
success rates
Artificial bee colony
particle swarm optimizer
random weight
range detection
adaptive weight
large-scale
automatic identification
cloud model
swarm intelligence
evolutionary multi-objective optimization
DV-Hop algorithm
bat algorithm (BA)
Friedman test
quantum uncertainty property
facility layout design
local search
deep learning
Y conditional cloud generator
benchmark functions
discrete algorithm
dispatching rule
DE algorithm
nonlinear convergence factor
energy-efficient job shop scheduling
t-test
evolution
dimension learning
global optimization
confidence term
elephant herding optimization
moth search algorithm
evolutionary
ISBN 3-03921-929-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367740503321
Alavi Amir  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolutionary Computation 2020
Evolutionary Computation 2020
Autore Wang Gai-Ge
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (442 p.)
Soggetto topico Technology: general issues
Soggetto non controllato global optimization
cuckoo search algorithm
Q-learning
mutation
self-adaptive step size
evolutionary computation
playtesting
game feature
game simulation
game trees
playtesting metric
validation
Pareto optimality
h-index
ranking
dominance
Pareto-front
multi-indicators
multi-metric
multi-resources
citation
universities ranking
swarm intelligence
simulated annealing
krill herd
particle swarm optimization
quantum
elephant herding optimization
engineering optimization
metaheuristic
constrained optimization
multi-objective optimization
single objective optimization
differential evolution
success-history
premature convergence
turning-based mutation
opposition-based learning
ant colony optimization
opposite path
traveling salesman problems
whale optimization algorithm
WOA
binary whale optimization algorithm
bWOA-S
bWOA-V
feature selection
classification
dimensionality reduction
menu planning problem
evolutionary algorithm
decomposition-based multi-objective optimisation
memetic algorithm
iterated local search
diversity preservation
single-objective optimization
knapsack problem
travelling salesman problem
seed schedule
many-objective optimization
fuzzing
bug detection
path discovery
evolutionary algorithms (EAs)
coevolution
dynamic learning
performance indicators
magnetotelluric
one-dimensional inversions
geoelectric model
optimization problem
multi-task optimization
multi-task evolutionary computation
knowledge transfer
assortative mating
unified search space
quantum computing
grey wolf optimizer
0-1 knapsack problem
green shop scheduling
fuzzy hybrid flow shop scheduling
discrete artificial bee colony algorithm
minimize makespan
minimize total energy consumption
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557699203321
Wang Gai-Ge  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Methods in Computational Biology
Methods in Computational Biology
Autore Carlson Ross
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (214 p.)
Soggetto non controllato inosine
immune checkpoint inhibitor
geometric singular perturbation theory
simulation
BioModels Database
ADAR
calcium current
bifurcation analysis
bacterial biofilms
nonlinear dynamics
explanatory model
turning point bifurcation
oscillator
workflow
bioreactor integrated modeling
modeling methods
elementary flux modes visualization
multiscale systems biology
evolutionary algorithm
metabolic model
differential evolution
reduced-order model
computational model
gut microbiota dysbiosis
canard-induced EADs
computational biology
metabolic modelling
methods
SREBP-2
mechanistic model
systems modeling
biological networks
macromolecular composition
provenance
flux balance analysis
immunotherapy
compartmental modeling
immuno-oncology
metabolic network visualization
mechanism
bistable switch
Clostridium difficile infection
bioreactor operation optimization
microRNA targeting
CFD simulation
biomass reaction
RNA editing
ordinary differential equation
metabolic modeling
mass-action networks
hybrid model
multiple time scales
quantitative systems pharmacology (QSP)
mathematical modeling
microRNA
cancer
parameter optimization
Hopf bifurcation
breast
ISBN 3-03921-164-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346689103321
Carlson Ross  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Micro/Nanofluidic and Lab-on-a-Chip Devices for Biomedical Applications
Micro/Nanofluidic and Lab-on-a-Chip Devices for Biomedical Applications
Autore Carvalho Violeta
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (232 p.)
Soggetto topico Medicine
Soggetto non controllato protein biomarker
microarray
microfluidic cassette
multiplex measurement
immunoassay
point-of-care testing
microfluidic device
small intestine
ex vivo
histology
embedded resin
sectioning
peptide biosensor
lab-on-a-chip
label-free detection
peptide aptamers
protein biomarkers
microfluidic biochip
troponin T
computational simulations
drug discovery
organ-on-a-chip
microfluidic devices
preclinical models
numerical simulations
automation
non-enzymatic
DNA amplification
L-DNA
microfluidic
fluorescence
paper microfluidics
sweat
sensing
hydrogels
lactate
osmotic pumping
evaporation
capillary
wicking
biochemical assay
microfluidics
cell trap
RBC
evolutionary algorithm
generative design
artificial intelligence
organ-on-chip
liver-on-chip
liver disease
multi-level microfluidic device
live cell imaging
long-term microscopy imaging
focus drifting
immersion oil viscosity
bacterial population dynamics
single-cell studies
E. coli
mother machine
computational fluid dynamics
cancer-on-chip
xenograft
colorectal cancer
pharmacodynamics
pharmacokinetics
drug efficacy
oxaliplatin
microfabrication
microphysiological system
biophysical stimuli
biochemical stimuli
in vitro cell culture
cortical neurons
hippocampal neurons
electrical stimulation
Micro-Electrode Arrays
engineered neuronal networks
polydimethylsiloxane
microchannels
in vivo micro bioreactor
additive manufacturing
poly-(ethylene glycol)-diacrylate
biocompatibility
COVID-19
diagnosis
image analysis
PCR
SARS-CoV-2
ISBN 3-0365-6099-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910639996703321
Carvalho Violeta  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Advances in Embedded Computing, Intelligence and Applications
Recent Advances in Embedded Computing, Intelligence and Applications
Autore Portilla Jorge
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (188 p.)
Soggetto topico Information technology industries
Soggetto non controllato high-level synthesis
HLS
SDSoC
support vector machines
SVM
code refactoring
Zynq
ZedBoard
extreme edge
embedded edge computing
internet of things deployment
hardware design
IoT security
Contiki-NG
trustability
embedded systems
collaborative filtering
recommender systems
parallelism
reconfigurable hardware
neuroevolution
block-based neural network
dynamic and partial reconfiguration
scalability
reinforcement learning
embedded system
artificial intelligence
hardware acceleration
neuromorphic processor
power consumption
harsh environment
fog computing
edge computing
cloud computing
IoT gateway
LoRa
WiFi
low power consumption
low latency
flexible
smart port
quantisation
evolutionary algorithm
neural network
FPGA
Movidius VPU
2D graphics accelerator
line-drawing
Bresenham’s algorithm
alpha-blending
anti-aliasing
field-programmable gate array
deep learning
performance estimation
Gaussian process
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576881603321
Portilla Jorge  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui