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Deep Power Vision Technology and Intelligent Vision Sensors

This reprint provides some up-to-date solutions in the domain of deep power vision technology and intelligent vision sensors. It offers the latest perspectives covering the detection, classification, and some other basic tasks in processing and analyzing the inspection images or videos of power syst...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2024
Soggetti:
insulator umbrella disc shedding
defect detection
dehazing algorithm
feature fusion
attention mechanism
multi-geometric reasoning
insulator defect detection
deep learning
graph convolutional neural network
aerial insulator images
object detection
YOLOX
small target
SIoU
contextual information enhancement
joint heterogeneous representation
transmission line
infrared image
substation equipment
superpixel segmentation
temperature probability density
bolt defect recognition
wide residuals
double attention
tilting insulator
orientation detection
angle regression
prior constraint
image classification
matrix decomposition
attributes
word vectors
geometric transformation
fittings
transformer
transmission channels
non-homogeneous fog
dual attention
DAMPHN
image defogging
n/a
thema EDItEUR::U Computing and Information Technology::UY Computer science
Accesso online:ONIX_20240514_9783725800162_113
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Riassunto:This reprint provides some up-to-date solutions in the domain of deep power vision technology and intelligent vision sensors. It offers the latest perspectives covering the detection, classification, and some other basic tasks in processing and analyzing the inspection images or videos of power systems.

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