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Machine Learning in Sensors and Imaging

Machine learning is extending its applications in various fields, such as image processing, the Internet of Things, user interface, big data, manufacturing, management, etc. As data are required to build machine learning networks, sensors are one of the most important technologies. In addition, mach...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2022
Soggetti:
star image
image denoising
reinforcement learning
maximum likelihood estimation
mixed Poisson–Gaussian likelihood
machine learning-based classification
non-uniform foundation
stochastic analysis
vehicle–pavement–foundation interaction
forest growing stem volume
coniferous plantations
variable selection
texture feature
random forest
red-edge band
on-shelf availability
semi-supervised learning
deep learning
image classification
machine learning
explainable artificial intelligence
wildfire
risk assessment
Naïve bayes
transmission-line corridors
image encryption
compressive sensing
plaintext related
chaotic system
convolutional neural network
color prior model
object detection
piston error detection
segmented telescope
BP artificial neural network
modulation transfer function
computer vision
intelligent vehicles
extrinsic camera calibration
structure from motion
convex optimization
temperature estimation
BLDC
electric machine protection
touchscreen
capacitive
display
SNR
stylus
laser cutting
quality monitoring
artificial neural network
burr formation
cut interruption
fiber laser
semi-supervised
fuzzy
noisy
real-world
plankton
marine
activity recognition
wearable sensors
imbalanced activities
sampling methods
path planning
Q-learning
neural network
YOLO algorithm
robot arm
target reaching
obstacle avoidance
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accesso online:ONIX_20220506_9783036537535_60
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ONIX_20220506_9783036537535_60

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