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Advances in Public Transport Platform for the Development of Sustainability Cities
Advances in Public Transport Platform for the Development of Sustainability Cities
Autore Corchado Juan M
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (346 p.)
Soggetto topico Environmental science, engineering and technology
History of engineering and technology
Technology: general issues
Soggetto non controllato artificial intelligence
artificial neural network
attention
Barcelona underground
Big Data analytics
big-data applications
carsharing
centrality measures
clustering analysis
collaborative filtering
complex network analysis
content-based
CPS
critical infrastructure
cyber-attack detection
data analysis
data envelopment analysis (DEA)
data extraction
data fusion
deep learning
deep neural networks
delays
demand
demand prediction
dynamic bus travel time prediction
energy consumption
energy trading
exploratory data analysis (EDA)
Fintech
forecasting systems
GLPK
HTM
integer programming
intelligent transportation
intelligent transportation systems
intelligent transportation systems (ITS)
IoT
learning object
learning recommender system
learning videos
machine intelligence
mapping application
multi-objective optimization
n/a
natural language processing
network robustness
optimization models
passenger flow
passenger traffic
passenger waiting time
public transit
railway
recommender system
recurrent neural network
regression
regression analysis
reputation algorithm
ride-hailing
ridership patterns
safety
search and rescue
security
software application
sustainable cities
sustainable transport systems
taxi
taxi recommendation
time series forecasting
timetable
transfer learning
transport
trust
trusted negotiations
unmanned aerial vehicles (UAVs)
urban rail transit (URT)
users' profiling
users' reputation
variable neighborhood search
vehicle occupancy ratio
vehicle social network
wastewater treatment plants
wide and deep
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566472003321
Corchado Juan M  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
Autore Vitelli Massimo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (280 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato adaptive neuro-fuzzy inference systems
ANFIS
artificial neural network
artificial neural networks
clear sky irradiance
clustering-based PV fault detection
COA
complex network analysis
data fusion
deterioration
deterministic optimization algorithm
diffractive grating
diffractive optical element
double flames generation (DFG) strategy
duty cycle
environmental parameters
fault prognosis
feed-forward neural networks
finite difference time domain
genetic algorithm
global horizontal irradiance
global optimization
gradient descent
hot spot
image processing
implicit model solution
integrated energy systems
linear approximation
long short-term memory
LSTM cell
machine learning
mathematical modeling
maximum power point tracking
metaheuristic optimization algorithm
moth-flame optimization
MPPT algorithm
multiple regression model
national power system
optical modelling
parameter extraction
partial shading
particle swarm optimization-artificial neural networks
performances evaluation
persistent predictor
photovoltaic array
photovoltaic model
photovoltaic module
photovoltaic plants
photovoltaic power prediction
photovoltaic system
photovoltaic systems
photovoltaics
publicly available weather reports
PV fleet
PV power prediction
PVs power output forecasting
recurrent neural networks
renewable energy
self-imputation
sensor network
series-parallel
single stage grid connected systems
single-diode model
smart energy management
solar cell optimization
Solar cell parameters
solar concentrator
solar irradiation
spectral beam splitting
statistical method
sustainable development
thermal image
two-diode model
unsupervised learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557297703321
Vitelli Massimo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
In Silico Strategies for Prospective Drug Repositionings
In Silico Strategies for Prospective Drug Repositionings
Autore Udrescu Lucreția
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (288 p.)
Soggetto topico Medicine
Pharmaceutical industries
Soggetto non controllato COVID-19
drug repurposing
topological data analysis
persistent Betti function
SARS-CoV-2
network-based pharmacology
combination therapy
nucleoside GS-441524
fluoxetine
synergy
antidepressant
natural compounds
QSAR
molecular docking
drug repositioning
UK Biobank
vaccine
LC-2/ad cell line
drug discovery
docking
MM-GBSA calculation
molecular dynamics
cytotoxicity assay
GWAS
multiple sclerosis
oxidative stress
repurposing
ADME-Tox
bioinformatics
complex network analysis
modularity clustering
ATC code
hidradenitis suppurativa
acne inversa
transcriptome
proteome
comorbid disorder
biomarker
signaling pathway
druggable gene
drug-repositioning
MEK inhibitor
MM/GBSA
Glide docking
MD simulation
MM/PBSA
single-cell RNA sequencing
pulmonary fibrosis
biological networks
p38α MAPK
allosteric inhibitors
in silico screening
computer-aided drug discovery
network analysis
psychiatric disorders
medications
psychiatry
mental disorders
toxoplasmosis
Toxoplasma gondii
in vitro screening
drug targets
drug-disease interaction
target-disease interaction
DPP4 inhibitors
lipid rafts
ISBN 3-0365-6133-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910639987703321
Udrescu Lucreția  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui