Ingenieurwesen & Materialwissenschaft
Sensors
89%
Capacitance
89%
Tomography
77%
Ice
67%
Capacitive sensors
53%
Acoustic impedance
50%
Conveying
40%
Position measurement
38%
Pneumatics
35%
Inverse problems
32%
Markov chains
32%
Temperature
31%
Electric potential
31%
Energy harvesting
31%
Uncertainty
29%
Electrodes
29%
Calibration
26%
Voltage measurement
25%
Acoustics
24%
Engines
24%
Compensation and Redress
23%
Electric current measurement
23%
Signal analysis
22%
Capacitance measurement
21%
Heating
21%
Crankcases
21%
Signal processing
21%
Signal denoising
21%
Snow and ice removal
20%
Ions
18%
Hot Temperature
18%
Condition monitoring
18%
Critical infrastructures
18%
Aging of materials
18%
Harvesters
17%
Spectroscopy
16%
Lithium-ion batteries
16%
Optical fibers
15%
Microphones
15%
Machinery
14%
Acoustic waves
14%
MEMS
14%
Topology
14%
Electric fields
13%
Frequency response
13%
Flow of fluids
13%
Magnetic fields
13%
Electric lines
13%
Networks (circuits)
12%
Tuning
11%
Physik & Astronomy
sensors
100%
tomography
55%
ice
50%
capacitance
48%
pneumatics
46%
ice formation
42%
climate
32%
transformers
32%
high voltages
27%
signal processing
26%
methodology
24%
electrodes
23%
engines
20%
electrical impedance
20%
topology
20%
design analysis
20%
systems analysis
18%
mass flow
18%
impedance measurement
17%
evaluation
17%
permittivity
15%
estimates
15%
output
15%
electric batteries
15%
ion currents
15%
impedance
15%
performance
14%
vibration
13%
coils
12%
optical fibers
11%
probes
11%
degradation
11%
filters
10%
bandwidth
10%
electronics
10%
mass flow rate
10%
cycles
10%
transfer functions
10%
causes
10%
simulation
9%
temperature compensation
9%
heating
9%
noise measurement
9%
prototypes
9%
power lines
9%
energy
8%
electrical measurement
8%
temperature
8%
cells
8%
spectroscopy
7%
Mathematik
Electrical Capacitance Tomography
44%
Capacitance
26%
Inverse Problem
24%
Markov Chain Monte Carlo
23%
Statistical Solutions
22%
Tomography
20%
Metropolis-Hastings
20%
Prior distribution
20%
Systems Analysis
18%
Prior Information
17%
Impedance
17%
Fluid Flow
14%
Reduced Model
14%
Tuning
13%
Excitation
13%
Computational Efficiency
10%
Monte Carlo Techniques
10%
Design
9%
Markov Chain Monte Carlo Methods
8%
Uncertainty Quantification
8%
Computational Cost
7%
Reconstruction Algorithm
7%
Sensor
7%
Posterior distribution
7%
Iteration
7%
Design Methodology
7%
Prior Knowledge
7%
Metropolis-Hastings Algorithm
6%
Measurement System
6%
Gibbs Sampler
6%
Model
5%
Capacitor
5%
Modified Likelihood
5%
Cable
5%
Noise Robustness
5%
Transmission Line
5%
Ill-posed Problem
5%
Bayesian Modeling
5%
