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.
Accelerating democracy [[electronic resource] ] : transforming governance through technology / / John O. McGinnis
Accelerating democracy [[electronic resource] ] : transforming governance through technology / / John O. McGinnis
Autore McGinnis John O. <1957->
Edizione [Core Textbook]
Pubbl/distr/stampa Princeton, : Princeton University Press, c2013
Descrizione fisica 1 online resource (225 p.)
Disciplina 320.014
Soggetto topico Information technology - Political aspects
Technological innovations - Political aspects
Democracy
Democratization
Soggetto non controllato Internet
administrative government
artificial intelligence
bias
collective decision making
computational advances
computer
cultural cognition
democracy
dispersed media
earmarks
education reform
elections
empirical analysis
empiricism
federalism
friendly AI
governance
government data
information age
information costs
information markets
information technology
innate majoritarian bias
knowledge falsification
machine intelligence
majority rule
modern technology
political bias
political campaigns
political culture
political decision making
political information
political life
political prediction markets
politics
public action problem
public policy
regulation
representation
social governance
social knowledge
social planning
social policy
social science
social-scientific knowledge
special interests
status quo
technocracy
technological acceleration
technological change
term limits
ISBN 1-283-86413-4
1-4008-4545-9
Classificazione ZG 8645
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Contents -- Introduction -- Chapter one. The Ever Expanding Domain of Computation -- Chapter two. Democracy, Consequences, and Social Knowledge -- Chapter three. Experimenting with Democracy -- Chapter four. Unleashing Prediction Markets -- Chapter five. Distributing Information through Dispersed Media and Campaigns -- Chapter six. Accelerating AI -- Chapter seven. Regulation in an Age of Technological Acceleration -- Chapter eight. Bias and Democracy -- Chapter nine. De-biasing Democracy -- Conclusion. The Past and Future of Information Politics -- Acknowledgments -- Appendix -- Notes -- Index
Record Nr. UNINA-9910779330203321
McGinnis John O. <1957->  
Princeton, : Princeton University Press, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Adsorption Technology for Water and Wastewater Treatments
Adsorption Technology for Water and Wastewater Treatments
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2023
Descrizione fisica 1 online resource (232 p.)
Soggetto topico Chemistry
Research & information: general
Soggetto non controllato activated carbon
adsorption
adsorption kinetics
adsorption mechanism
algae
antimony
artificial intelligence
bioremediation
capacitive deionization
captopril
carbon nanomaterials
catalysts regeneration
chromium
clays
coagulation sludge
conducting polymers
Cr (VI) management
different clays
dyes
emerging pollutant
factorial design
fluorine removal
gray wolf optimizer
heavy metals
hydrophytes
hydroxy-iron
isotherm
k-nearest neighbor
kinetics
linear method
machine learning
magnetic Fe-C-N composite
magnetite
mechanism
mesoporous carbon
mineral pollutant
modeling
modelling
nanocomposites
nitrogen doping
nonlinear method
olive mills wastewater
pharmaceuticals
phenol
phenol adsorption
physics-statistics modeling
pseudo-second-order model
pyrolyzation
reduction
sepiolite
statistical physics
sugarcane bagasse
wastewater
wastewater treatment
water treatment
zinc oxide
Zr-doped G-C3N4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910743272803321
MDPI - Multidisciplinary Digital Publishing Institute, 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Control Systems for Electric Drives
Advanced Control Systems for Electric Drives
Autore Merabet Adel
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (342 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato adaptive sliding mode control (A-SMC)
adaptive threshold
advanced control
artificial intelligence
automotive electric powertrain
brushless direct current motor drive system
BSAII
cascade control
clutch actuator
current control
deadbeat predictive control
E-REV
eddy current position sensor
electromechanical coupling
energy management
equivalent input disturbance
estimation
Euclidean distance
FIR filter
fractional order control
fractional order proportional-integral-differential (FOPID)
Hall sensor
Hall sensors
harmonic torque reduction strategy
high-frequency square-wave voltage injection
hybrid electric vehicles (HEVs)
I-f control strategy
I-f startup strategy
indirect vector control
induction motor
inductive position sensor
industrial application
integrated electric drive system
lyapunov approach
maglev train
magnetoresistive position sensor
mode transition
model predictive control
motor drives
multi-source data fusion
neural fuzzy controller
nonlinear systems
overhead transmission line
parameter identification
permanent magnet synchronous motor
PI observer
PMLSM
PMSM
PMSM drive
position control of motor
position sensorless control
power converters
power electronics
quantized
RBFNN-based self-tuning PID controller
real-time implementation
resolver
robustness
rotor position sensor
safe distance
second-order sliding mode control
sensor
sensorless control
sliding mode control
sliding mode observer
synergetic control
time delay
UAV inspection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557102803321
Merabet Adel  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Energy Harvesting Technologies
Advanced Energy Harvesting Technologies
Autore Zhu Dibin
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (236 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D printed
absorber
acoustic resonance
animal
artificial intelligence
Autonomous Internet of Things
autonomous sensors
autonomous wireless sensor
battery-less modules
closed side branch
connected vehicles
DDES
dual resonance frequencies
electric vehicle
electromagnetic
electromagnetic converter
electromagnetic-mechanical modeling
energy harvesting
enhanced "band-pass" harvested power
experimental investigation
failure detection
highway
hybrid
independent resonant frequencies
IoT
n/a
ocean wave
orthoplanar spring
passive energy management
photovoltaics
piezoelectric harvester
planar spring
power management
predictive maintenance
rectifier
self-oscillating boost converter
self-powered device
silicon
smart cities
solar panel
solar still
structural health monitoring
TEG
temperature
Tesla
thermal energy harvesting
thermoelectricity
tracker
trapezoidal leg
triboelectric nanogenerators
ultra low power
urban street
vibration electromagnetic energy harvester
vibration energy
vibration energy harvesting
vibration harvester
voltage multiplier
water
weak vibration
wide harvested frequency range
wideband
Wiegand sensor
wildlife
wind energy harvester
WSN
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566464103321
Zhu Dibin  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases
Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases
Autore Cai Yudong
Pubbl/distr/stampa Frontiers Media SA, 2020
Descrizione fisica 1 online resource (234 p.)
Soggetto topico Medical genetics
Science: general issues
Soggetto non controllato artificial intelligence
NGS - next generation sequencing
non-invasive prenatal testing (NIPT)
WES - whole-exome sequencing
WGS - whole-genome sequencing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557226103321
Cai Yudong  
Frontiers Media SA, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids
Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids
Autore Hernández-Callejo Luis
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (366 p.)
Soggetto topico Physics
Research & information: general
Soggetto non controllato adaptive protection
analytical
angle swinging
artificial intelligence
artificial neural network based MPPT
bidirectional power inverter
Bolomey formula
combinatorial optimization
compressive strength
control system
coordination protection
corrosion
corrosion monitoring
coverage path planning (CPP)
cross-platform
dark I-V curves
data-driven
deep learning
deep learning (DL)
defect detection
DigSILENT
distributed generation
distributed power generation
efficiency
electric generator
electromechanical system
energy bands
expected energy models
failure modes simulation
fault detection criterion
fault diagnosis
fault location in photovoltaic arrays
faults diagnostic
fleet-scale
forecasting
FPGA
glass powder
grid frequency oscillations
GUI
HMI
hybrid boost converter
I-V curve
image segmentation
image-processing
inertial masses
Lambert W-function
lasso regression
machine learning
microgrid
microgrids
modeling
monitoring
non-conventional renewable energy
offshore wind turbines
online distributed measurement of dark I-V curves
parameter extraction
performance modeling
photovoltaic (PV) plants
photovoltaic (PV) systems
photovoltaic aging
photovoltaic module
photovoltaic power forecasting
photovoltaic resources
photovoltaic systems
power distribution
power plant
power system protection
primary control
renewable energies
RNN
SCADA
semantic segmentation
software
solar cell
solar panel
solar power system
spacecraft solar panels
spectral analysis
storage system
sustainability
sustainable concrete
synthetic data
thermal image
thickness loss
ultrasound
unbalanced datasets
unmanned aerial vehicle (UAV)
variational autoencoders
visualisation
wind power
wind turbine
wind-turbine
windfarm
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566457603321
Hernández-Callejo Luis  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Sensing and Image Processing Techniques for Healthcare Applications
Advanced Sensing and Image Processing Techniques for Healthcare Applications
Autore Abolghasemi Vahid
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (258 p.)
Soggetto topico Computer science
Information technology industries
Soggetto non controllato 3D body shapes
absorption near infrared
age
anthropometry
arterial hypotension
artificial intelligence
ataxia
auditory discrimination therapy
BConvLSTM
bladder irrigation monitor
blind
body weights and measures
braille system
brain activity
brain tissue segmentation
bubble detection
cell mechanics
coherent plane-wave compounding (CPWC)
complementary subset transmit (CST)
convolutional neural network
convolutional neural networks
CT image
cycle constraint
decellularization
delay-and-sum (DAS)
delay-multiply-and-sum (DMAS)
denoising convolutional neural network
ECG
echo-planar imaging
EEG
EEG evaluation
elasticity measurement
EMG
essential tremor
event-related desynchronization
event-related synchronization
exercise
exercise habit
feature engineering
feature pyramid network
finger-nose-finger test
H&E
hemoglobin sensor
hypotension
image processing
image registration
invasive blood pressure
liver
lung
machine learning
magnetic resonance fingerprinting
magnetic resonance images
mechanical properties
multi-branch dense prediction
multi-branch output
multi-branch pooling
multi-scale feature learning
multimodal features
object detection
plane-wave (PW) imaging
postpartum period
power doppler detection
pregnancy period
ResNet-34
rigid alignment
robotic cell manipulation
segmentation
self-attention
self-supervision
semantic segmentation
signal coherence
T1 and T2* relaxation times
tinnitus
tissue engineering
tremor
U-Net
viscosity measurement
vital sign
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566486403321
Abolghasemi Vahid  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Computational Intelligence Applications in the Mining Industry
Advances in Computational Intelligence Applications in the Mining Industry
Autore Ganguli Rajive
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (324 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato accidents
artificial intelligence
ball mill throughput
Bayesian network
Bayesian Network Structure Learning (BNSL)
bitumen extraction
bitumen processability
blast impact
bluetooth beacon
classification and regression tree
coal
convolutional neural networks
damage risk analysis
data analytics in mining
decision trees
digital twin
dimensionality reduction
discrete event simulation
empirical model
epithermal gold
fragmentation
fragmentation size analysis
gaussian naïve bayes
geological uncertainty
geostatistics
grinding circuits
health and safety management
hyperspectral imaging
image analysis
k-nearest neighbors
knowledge discovery
macerals
machine learning
masonry buildings
measurement while drilling
mine optimization
mine safety and health
mine worker fatigue
mine-to-mill
mineral prospectivity mapping
minerals processing
mining
mining equipment uncertainties
mining exploitation
mining geology
modes of operation
multispectral imaging
multivariate statistics
n/a
Naive Bayes
narratives
natural language processing
neighbourhood component analysis
non-additivity
oil sands
operational data
ore control
orebody uncertainty
partial least squares regression
petrographic analysis
point cloud scaling
Q-learning
random forest
random forest algorithm
random forest classification
random forest model
rock type
semantic segmentation
stockpiles
structure from motion
support vector machine
tactical geometallurgy
transport route
transport time
truck dispatching
underground mine
unstructured data
variable importance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557613103321
Ganguli Rajive  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Hydrologic Forecasts and Water Resources Management
Advances in Hydrologic Forecasts and Water Resources Management
Autore Chang Fi-John
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (272 p.)
Soggetto topico Research and information: general
Soggetto non controllato artificial intelligence
artificial neural networks
cascade hydropower reservoirs
cascade reservoirs
changing environments
climate change impacts
coupled models
dammed lake
data synthesis
data-scarce deglaciating river basin
degree of balance and approach
elastic-ball modification
elasticity coefficient
empirical mode decomposition
feasible search space
flood control
flood risk
flood-risk map
forecast evaluation
generalized likelihood uncertainty estimation
Generalized Likelihood Uncertainty Estimation (GLUE)
GloFAS-Seasonal
GR4J model
gravitational search algorithm
grey entropy method
highly urbanized area
Hushan reservoir
hydrodynamic modelling
hydrologic forecasting
impoundment operation
Internet of Things (IoT)
interval number
landslide
loss-benefit ratio of ecology and power generation
machine learning
machine learning model
Mahalanobis-Taguchi System
multi-objective optimal operation model
multi-objective optimization
multi-objective reservoir operation
NDVI
opposition learning
parameter uncertainty
Pareto-front optimal solution set
partial mutation
probabilistic forecast
random forest
recurrent nonlinear autoregressive with exogenous inputs (RNARX)
regional flood inundation depth
risk
Sequential Gaussian Simulation
signal-to-noise ratio
small and medium-scale rivers
Snowmelt Runoff Model
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
temporal transferability
Three Gorges Reservoir
time-varying parameter
TOPSIS
uncertainty
uncertainty analysis
Unscented Kalman Filter
urban hydrological model
urban stormwater
water resources management
western China
whole region perspective
Yangtze River
Yarlung Zangbo River
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557110703321
Chang Fi-John  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Image Processing, Analysis and Recognition Technology
Advances in Image Processing, Analysis and Recognition Technology
Autore Frejlichowski Dariusz
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (386 p.)
Soggetto topico Computer science
Information technology industries
Soggetto non controllato action recognition
active ageing
affine motion compensation
ambient assisted living
artificial intelligence
atmospheric-light estimation
attention
automatic cell segmentation
balanced sampling
bi-histogram equalization
bilingual scene text reading
block-based coding
BOF
CIELab
classification
classification accuracy
coal
coarse-to-fine search strategy
coke
component Substitution
compressed sensing
contrast ratio
convolution neural network (CNN)
convolutional neural network
convolutional neural networks
cyclical learning rates
dark channel
deep learning
deep transfer learning
dental application
details preservation
detection
DPCNN
Ethiopic script
feature extraction
fine-tuning
frame
Gene Expression Programming (GEP)
gradient
H.265/HEVC
handwritten digit recognition
haze removal
historical document analysis
homography matrix
identification
IKONOS
image analysis
image fusion
image preclassification
image processing
image quality
image registration
images
inertinite macerals
intensity correction
iron ore
label smoothing
learning rate scheduler
local dimming
local homography transformation
magnitude
motion
moving direct linear transformation
multi-scale sampling
multifractal analysis
n/a
nasal cytology
neural networks
numeral spotting
object detection
octave convolution
optical
Pan sharpening
pansharpening
parseval frame
plant recognition
Pléiades VHR Image
reactivity
remote sensing
retinex theory
RGB-D
rhinology
RIP
saliency
salient object detection
Satellite Pour l'Observation de la Terre (SPOT) 6
segmentation
shape context
shape features
silhouette sequences
sinter
small object
sparse dictionary
sparse representation
spatial consistency
spectral consistency
spectrum correction
stable recovery
structure
super-resolution (SR)
support vector machine
suspicious behavior detection
synthesis
texture
tradeoff process
transform
video coding
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576879103321
Frejlichowski Dariusz  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui