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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
feedforward neural nets
biblio
An Approach to Embedding a Style Transfer Model into a Mobile APP
Submitted by aekwall on Mon, 02/01/2021 - 11:44am
pre-trained convolutional neural network model
Economic indicators
mobile users
deep learning models
neural style transfer
Mobile app
embedding CNN models
Perceptual Losses algorithm
photo processing apps
Feedforward neural networks
proceeding time
shorten waiting time
Style transfer model
TensorFlow Mobile library
time 2.0 s
time 2.8 s
traditional style transfer model
Scalability
feedforward neural network
image restoration
Predictive Metrics
feedforward neural nets
software libraries
mobile phone
convolutional neural nets
testing
machine learning
pubcrawl
Resiliency
learning (artificial intelligence)
mobile computing
Internet of Things
Big Data
biblio
An Intelligent Mechanism for Sybil Attacks Detection in VANETs
Submitted by aekwall on Mon, 12/14/2020 - 12:42pm
telecommunication computing
user privacy information
SyDVELM mechanism
Sybil Attacks.
fixed road-side components
Extreme Machine Learning
extreme learning machine
Acceleration
Scalability
distributed network
telecommunication network topology
Complexity theory
feedforward neural nets
VANET
data privacy
machine learning
sybil attacks
Metrics
vehicular ad hoc networks
VANETs
Sybil attack detection
privacy
composability
pubcrawl
Resiliency
security
data integrity
telecommunication security
biblio
Enhanced Style Transfer in Real-Time with Histogram-Matched Instance Normalization
Submitted by grigby1 on Fri, 12/11/2020 - 2:55pm
neural network
trustworthy quality
texture clarity
style-swap layer
style transfer method
style transfer
style feature maps
statistical information
statistical analysis
Scalability
Resiliency
resilience
real-time systems
pubcrawl
neural style transfer
Neural networks
AdaIN layer
Metrics
impedance matching
image texture
Image reconstruction
image matching
Histograms
histogram-matched instance normalization
histogram matching
Feedforward neural networks
feedforward neural nets
feature extraction
content feature maps
Conferences
adaptive normalization layer
adaptive normalization
biblio
Development of Real-Time Style Transfer for Video System
Submitted by grigby1 on Fri, 12/11/2020 - 2:52pm
Scalability
optical flow
optical losses
perceptual loss
pubcrawl
real-time style transfer
real-time systems
relatively time-consuming
resilience
Resiliency
neural style transfer
Streaming media
style reconstruction loss
style transfer
video sequences
video signal processing
video style transfer
video stylization
video system
feed-forward CNN approach
artistic images
Artistic Style
computer machine
convolutional neural nets
convolutional neural networks
deep neural networks
defined time loss function
end-to-end system
fast style transformation
artificial system
feed-forward network
feedforward neural nets
high perceptual quality
Image reconstruction
Image resolution
Metrics
neural network
Neural networks
biblio
An improved style transfer approach for videos
Submitted by aekwall on Mon, 12/07/2020 - 12:10pm
motion estimation
Videos
video signal processing
style transfer approach
style transfer
shape deformation
Semantics
semantic segmentation
optical flow
occlusion
neural network
Motion segmentation
motion estimation methods
neural style transfer
image sequences
image segmentation
fully convolutional neural network
foreground object segmentation
feedforward neural nets
discontinuous segmentation
Coherence
background object segmentation
pubcrawl
Predictive Metrics
Resiliency
Scalability
biblio
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks
Submitted by grigby1 on Mon, 10/05/2020 - 2:01pm
RGB input data
MSTRNN model aid
multiple spatio-temporal scales recurrent neural network model
multiple timescale recurrent dynamics
neural activities
pubcrawl
recurrent neural nets
recurrent neural network
Recurrent neural networks
learning (artificial intelligence)
spatio-temporal constraints
spatio-temporal information extraction
Spatiotemporal phenomena
symbol grounding
Training
visualization
visually perceived compositional human action recognition
different compositionality levels
Biological neural networks
Compositionality
conventional convolutional neural network model
convolution
Convolutional codes
convolutional neural network (CNN)
critical spatio-temporal information
deep learning model
action recognition
dynamic vision processing
feature extraction
feedforward neural nets
gesture recognition
human action datasets
image motion analysis
image representation
biblio
Domain Flux-based DGA Botnet Detection Using Feedforward Neural Network
Submitted by grigby1 on Fri, 09/11/2020 - 12:09pm
Botnet detection
real-world domain names
neural network
HMM
frequency-domain analysis
feedforward neural network
edit distance
domain generation algorithm
domain flux-based DGA botnet detection
domain flux-based botnets
Domain Flux
DGA-based botnets
DGA
C&C server
feature extraction
Hidden Markov models
feedforward neural nets
botnet
ROC curve
Dictionaries
Compositionality
Metrics
botnets
invasive software
Correlation
computer network security
Resiliency
pubcrawl
biblio
Research on Intrusion Detection Based on Improved DBN-ELM
Submitted by aekwall on Mon, 08/24/2020 - 1:37pm
pattern classification
majority voting
Deep confidence network
DBN-ELM
classifier
Deep Belief Network
extreme learning machine
NSL-KDD dataset
belief networks
feedforward neural nets
Training
Intrusion Detection
Neurons
classification
composability
pubcrawl
Resiliency
feature extraction
machine learning algorithms
Classification algorithms
security of data
biblio
Application of Artificial Neural Network for Fault Recognition and Classification in Distribution Network
Submitted by aekwall on Mon, 08/10/2020 - 10:36am
sensors
three phase voltages
power utility
MATLAB
faults
fault recognition
Fault classification
backpropagation algorithm
back propagation algorithm
artificial neural network
feedforward neural network
Artificial Neural Networks
distribution network
Resiliency
cyber physical systems
power systems
feedforward neural nets
power distribution faults
power system reliability
power system security
power engineering computing
Reliability
Backpropagation
policy-based governance
pubcrawl
biblio
Trademark Image Retrieval Using a Combination of Deep Convolutional Neural Networks
Submitted by grigby1 on Thu, 07/30/2020 - 2:06pm
registered trademarks
ip protection
Combination of convolutional neural networks
content-based image retrieval
convolution
deep convolutional neural networks
feedforward neural nets
image recognition
industrial-intellectual property registration
METU database
Trademarks
Trademark Image Retrieval
trademark image retrieval task
trademark images
trademark protection
trademark registration applications
Trademarks Office
VGG19c
VGG19v
visual similarity
Task Analysis
Human behavior
Human Factors
policy-based governance
resilience
Resiliency
industrial property
composability
content-based retrieval
Metrics
pubcrawl
feature extraction
image classification
visualization
convolutional neural networks
image representation
image retrieval
Shape
patents
trademark registration
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