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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
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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-9910824542503321
McGinnis John O. <1957->  
Princeton, : Princeton University Press, c2013
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 electronic resource (342 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato PMSM drive
current control
deadbeat predictive control
equivalent input disturbance
BSAII
Euclidean distance
energy management
E-REV
overhead transmission line
UAV inspection
safe distance
multi-source data fusion
adaptive threshold
permanent magnet synchronous motor
second-order sliding mode control
cascade control
robustness
PMSM
model predictive control
parameter identification
hybrid electric vehicles (HEVs)
mode transition
adaptive sliding mode control (A-SMC)
clutch actuator
PI observer
fractional order proportional-integral-differential (FOPID)
indirect vector control
position control of motor
induction motor
sensorless control
sliding mode observer
RBFNN-based self-tuning PID controller
I-f startup strategy
PMLSM
position sensorless control
high-frequency square-wave voltage injection
FIR filter
maglev train
automotive electric powertrain
rotor position sensor
resolver
inductive position sensor
eddy current position sensor
Hall sensor
magnetoresistive position sensor
Hall sensors
brushless direct current motor drive system
power electronics
industrial application
integrated electric drive system
electromechanical coupling
harmonic torque reduction strategy
quantized
nonlinear systems
time delay
lyapunov approach
real-time implementation
neural fuzzy controller
I-f control strategy
fractional order control
synergetic control
sliding mode control
motor drives
advanced control
power converters
estimation
sensor
artificial intelligence
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
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Advanced Energy Harvesting Technologies
Advanced Energy Harvesting Technologies
Autore Zhu Dibin
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (236 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato piezoelectric harvester
orthoplanar spring
trapezoidal leg
vibration energy
acoustic resonance
closed side branch
DDES
wind energy harvester
Autonomous Internet of Things
vibration energy harvesting
electromagnetic-mechanical modeling
autonomous sensors
self-powered device
battery-less modules
energy harvesting
Wiegand sensor
self-oscillating boost converter
power management
connected vehicles
smart cities
electric vehicle
IoT
Tesla
triboelectric nanogenerators
ocean wave
artificial intelligence
structural health monitoring
TEG
thermoelectricity
thermal energy harvesting
tracker
wildlife
animal
ultra low power
3D printed
vibration harvester
electromagnetic
hybrid
photovoltaics
solar panel
highway
urban street
experimental investigation
water
solar still
absorber
silicon
temperature
dual resonance frequencies
vibration electromagnetic energy harvester
wide harvested frequency range
enhanced "band-pass" harvested power
independent resonant frequencies
autonomous wireless sensor
passive energy management
weak vibration
electromagnetic converter
wideband
planar spring
voltage multiplier
rectifier
predictive maintenance
failure detection
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 electronic resource (234 p.)
Soggetto topico Science: general issues
Medical genetics
Soggetto non controllato artificial intelligence
NGS - next generation sequencing
non-invasive prenatal testing (NIPT)
WGS - whole-genome sequencing
WES - whole-exome 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 electronic resource (366 p.)
Soggetto topico Research & information: general
Physics
Soggetto non controllato wind turbine
electric generator
spectral analysis
fault diagnosis
photovoltaic power forecasting
data-driven
deep learning
variational autoencoders
RNN
angle swinging
grid frequency oscillations
electromechanical system
inertial masses
microgrids
coordination protection
distributed generation
photovoltaic resources
DigSILENT
photovoltaic module
defect detection
power plant
efficiency
thermal image
photovoltaic aging
dark I-V curves
bidirectional power inverter
online distributed measurement of dark I-V curves
sustainability
compressive strength
Bolomey formula
sustainable concrete
glass powder
solar cell
solar panel
parameter extraction
analytical
Lambert W-function
spacecraft solar panels
I-V curve
modeling
wind power
non-conventional renewable energy
forecasting
energy bands
combinatorial optimization
deep learning (DL)
unmanned aerial vehicle (UAV)
photovoltaic (PV) systems
image-processing
image segmentation
semantic segmentation
faults diagnostic
artificial intelligence
unbalanced datasets
synthetic data
artificial neural network based MPPT
hybrid boost converter
renewable energies
solar power system
microgrid
control system
storage system
primary control
photovoltaic (PV) plants
coverage path planning (CPP)
corrosion monitoring
FPGA
offshore wind turbines
ultrasound
thickness loss
SCADA
visualisation
software
wind-turbine
windfarm
cross-platform
HMI
GUI
corrosion
monitoring
photovoltaic systems
expected energy models
fleet-scale
lasso regression
performance modeling
machine learning
fault location in photovoltaic arrays
failure modes simulation
fault detection criterion
adaptive protection
distributed power generation
power distribution
power system protection
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 electronic resource (258 p.)
Soggetto topico Information technology industries
Computer science
Soggetto non controllato tremor
essential tremor
ataxia
finger–nose–finger test
H&E
decellularization
liver
tissue engineering
semantic segmentation
convolutional neural networks
segmentation
lung
CT image
U-Net
ResNet-34
BConvLSTM
magnetic resonance images
brain tissue segmentation
multi-scale feature learning
multi-branch pooling
multi-branch dense prediction
multi-branch output
delay-and-sum (DAS)
delay-multiply-and-sum (DMAS)
signal coherence
power doppler detection
plane-wave (PW) imaging
complementary subset transmit (CST)
coherent plane-wave compounding (CPWC)
robotic cell manipulation
mechanical properties
elasticity measurement
viscosity measurement
cell mechanics
hemoglobin sensor
bladder irrigation monitor
absorption near infrared
artificial intelligence
bubble detection
exercise
EEG
EMG
ECG
brain activity
age
exercise habit
tinnitus
auditory discrimination therapy
EEG evaluation
event-related synchronization
event-related desynchronization
convolutional neural network
image registration
cycle constraint
multimodal features
self-supervision
rigid alignment
magnetic resonance fingerprinting
echo-planar imaging
T1 and T2* relaxation times
denoising convolutional neural network
self-attention
feature pyramid network
image processing
object detection
blind
braille system
3D body shapes
body weights and measures
postpartum period
pregnancy period
anthropometry
machine learning
vital sign
invasive blood pressure
feature engineering
hypotension
arterial hypotension
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 electronic resource (324 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato truck dispatching
mining equipment uncertainties
orebody uncertainty
discrete event simulation
Q-learning
grinding circuits
minerals processing
random forest
decision trees
machine learning
knowledge discovery
variable importance
mineral prospectivity mapping
random forest algorithm
epithermal gold
unstructured data
blast impact
empirical model
mining
fragmentation
mine worker fatigue
random forest model
health and safety management
stockpiles
operational data
mine-to-mill
geostatistics
ore control
mine optimization
digital twin
modes of operation
geological uncertainty
multivariate statistics
partial least squares regression
oil sands
bitumen extraction
bitumen processability
mine safety and health
accidents
narratives
natural language processing
random forest classification
hyperspectral imaging
multispectral imaging
dimensionality reduction
neighbourhood component analysis
artificial intelligence
mining exploitation
masonry buildings
damage risk analysis
Bayesian network
Naive Bayes
Bayesian Network Structure Learning (BNSL)
rock type
mining geology
bluetooth beacon
classification and regression tree
gaussian naïve bayes
k-nearest neighbors
support vector machine
transport route
transport time
underground mine
tactical geometallurgy
data analytics in mining
ball mill throughput
measurement while drilling
non-additivity
coal
petrographic analysis
macerals
image analysis
semantic segmentation
convolutional neural networks
point cloud scaling
fragmentation size analysis
structure from motion
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 electronic resource (272 p.)
Soggetto topico Research & information: general
Soggetto non controllato water resources management
landslide
dammed lake
flood risk
time-varying parameter
GR4J model
changing environments
temporal transferability
western China
cascade hydropower reservoirs
multi-objective optimization
TOPSIS
gravitational search algorithm
opposition learning
partial mutation
elastic-ball modification
Snowmelt Runoff Model
parameter uncertainty
data-scarce deglaciating river basin
climate change impacts
generalized likelihood uncertainty estimation
Yangtze River
cascade reservoirs
impoundment operation
GloFAS-Seasonal
forecast evaluation
small and medium-scale rivers
highly urbanized area
flood control
whole region perspective
coupled models
flood-risk map
hydrodynamic modelling
Sequential Gaussian Simulation
urban stormwater
probabilistic forecast
Unscented Kalman Filter
artificial neural networks
Three Gorges Reservoir
Mahalanobis-Taguchi System
grey entropy method
signal-to-noise ratio
degree of balance and approach
interval number
multi-objective optimal operation model
feasible search space
Pareto-front optimal solution set
loss–benefit ratio of ecology and power generation
elasticity coefficient
empirical mode decomposition
Hushan reservoir
data synthesis
urban hydrological model
Generalized Likelihood Uncertainty Estimation (GLUE)
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
uncertainty analysis
NDVI
Yarlung Zangbo River
machine learning model
random forest
Internet of Things (IoT)
regional flood inundation depth
recurrent nonlinear autoregressive with exogenous inputs (RNARX)
artificial intelligence
machine learning
multi-objective reservoir operation
hydrologic forecasting
uncertainty
risk
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 electronic resource (386 p.)
Soggetto topico Information technology industries
Computer science
Soggetto non controllato CIELab
component Substitution
Pan sharpening
Pléiades VHR Image
coal
inertinite macerals
classification
multifractal analysis
support vector machine
block-based coding
video coding
H.265/HEVC
affine motion compensation
image registration
homography matrix
local homography transformation
convolutional neural network
moving direct linear transformation
super-resolution (SR)
convolution neural network (CNN)
Gene Expression Programming (GEP)
deep learning
image preclassification
suspicious behavior detection
motion
magnitude
gradient
reactivity
saliency
haze removal
dark channel
atmospheric-light estimation
coarse-to-fine search strategy
sparse dictionary
stable recovery
frame
RIP
local dimming
retinex theory
bi-histogram equalization
contrast ratio
details preservation
pansharpening
image fusion
image quality
Satellite Pour l'Observation de la Terre (SPOT) 6
spectral consistency
spatial consistency
synthesis
artificial intelligence
dental application
images
detection
parseval frame
transform
sparse representation
octave convolution
bilingual scene text reading
Ethiopic script
attention
nasal cytology
automatic cell segmentation
rhinology
image analysis
feature extraction
shape context
plant recognition
DPCNN
BOF
numeral spotting
historical document analysis
convolutional neural networks
deep transfer learning
handwritten digit recognition
spectrum correction
intensity correction
compressed sensing
tradeoff process
IKONOS
remote sensing
fine-tuning
learning rate scheduler
cyclical learning rates
label smoothing
classification accuracy
neural networks
salient object detection
RGB-D
object detection
small object
multi-scale sampling
balanced sampling
texture
structure
optical
coke
iron ore
sinter
image processing
segmentation
identification
action recognition
silhouette sequences
shape features
ambient assisted living
active ageing
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