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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
neural nets
biblio
A Hybrid Feature Extraction Network for Intrusion Detection Based on Global Attention Mechanism
Submitted by grigby1 on Tue, 02/23/2021 - 2:46pm
intrusion detection task
AI methods
false alarm rates
feature extraction layer
fully connected layer
Global Attention Mechanism
global attention mechanism layer
hybrid feature extraction network
hybrid network
temporal features
intrusion detection tasks
large-scale network traffic
low recognition performance
network monitoring system
network traffic attributes
Residual U Net
RULA-IDS
SVM classification layer
computer network security
feature extraction
machine learning
Support vector machines
Intrusion Detection
pubcrawl
Metrics
resilience
Resiliency
Training
telecommunication traffic
composability
pattern classification
neural nets
deep learning
testing
network intrusion detection
spatial features
biblio
Network Intrusion Detection Method Based on GAN Model
Submitted by grigby1 on Tue, 02/23/2021 - 2:45pm
performance indicators
Metrics
multi-classification model
network intrusion detection
network intrusion detection method
neural nets
original classification model
parameter setting
pattern classification
loss function
pubcrawl
resilience
security of data
supervised learning
supervised learning multiclassification model
Training
training method
Transforms
Gallium nitride
Resiliency
Predictive Metrics
Scalability
adversarial idea
binary classification model
composability
Computational modeling
detection accuracy
Generative Adversarial Learning
gan
GAN model
generated adversarial network
generative adversarial networks
label sample set
label samples
learning (artificial intelligence)
biblio
Binarized Attributed Network Embedding via Neural Networks
Submitted by grigby1 on Tue, 02/23/2021 - 2:36pm
Hamming space
Knowledge engineering
autoencoder
attribute similarity penalizing term
Attributed Network
binary code learning
data reduction
dimension reduction
feature aggregation
network coding
learned binary representation vectors
network embedding
node classification
node clustering
relaxation-quantization method
unsupervised neural based binarized attributed network embedding
Weisfeiler-Lehman Proximity Matirx
Weisfeiler-Lehman proximity matrix
composability
feature extraction
Neural networks
pubcrawl
Metrics
resilience
Resiliency
matrix algebra
optimization
learning (artificial intelligence)
Data mining
pattern classification
neural nets
Task Analysis
network theory (graphs)
pattern clustering
Binary codes
neural network training
biblio
I/O Efficient Approximate Nearest Neighbour Search based on Learned Functions
Submitted by aekwall on Mon, 02/22/2021 - 1:46pm
data-sensitive hashing-based methods
multimedia database
learned index structure
learned hashing
learned functions
input-output programs
indexing
I/O efficiency
high dimensional space
function approximation
external storage scenarios
external memory
data-sensitive indexing
data privacy
approximate nearest neighbour search
ANNS
nearest neighbor search
search problems
file organisation
Predictive Metrics
Measurement
query processing
neural nets
pubcrawl
learning (artificial intelligence)
nearest neighbour methods
biblio
Gait Phase Segmentation Using Weighted Dynamic Time Warping and K-Nearest Neighbors Graph Embedding
Submitted by aekwall on Mon, 02/22/2021 - 1:46pm
Dynamic Time Warping
weighted dynamic time warping algorithm
self-collected IMU gait signals
neural network-based graph embedding scheme
k-nearest neighbors graph embedding
k-nearest neighbors algorithm
k-nearest neighbors
inertial measurement units
gait phase segmentation method
gait phase estimates
gait information
gait cycle
nearest neighbour methods
nearest neighbor search
diseases
gait analysis
graph embedding
Predictive Metrics
image segmentation
Measurement
neural nets
graph theory
pubcrawl
biblio
Cyber-Physical Risk Driven Routing Planning with Deep Reinforcement-Learning in Smart Grid Communication Networks
Submitted by grigby1 on Tue, 02/16/2021 - 1:40pm
intelligent algorithms
power generation planning
risk assessment model
deep reinforcement learning
communication link
Constraint-Dijkstra algorithm
cyber-physical system
deep reinforcement-learning
DRL
information space
physical space
link load balance
node load pressure
power grid system
Risk Balance
route planning algorithm
Routing Planning
service communication delay
Damage Assessment
smart power grids
risk management
CPS
cyber-physical systems
pubcrawl
resilience
Resiliency
optimization
power engineering computing
learning (artificial intelligence)
Communication networks
Planning
Routing
delays
Load modeling
Smart Grids
neural nets
smart grid communication networks
biblio
A Small Sample DDoS Attack Detection Method Based on Deep Transfer Learning
Submitted by grigby1 on Tue, 02/16/2021 - 12:57pm
neural nets
DDoS attack detection
small-sample DDoS attack detection
small sample DDoS attack
deep transfer learning
deep learning detection technique
8LANN network
transfer learning
denial-of-service attack
Degradation
Performance analysis
Measurement
deep learning
composability
Communication networks
computer network security
Resiliency
resilience
Metrics
Human behavior
pubcrawl
Neural networks
learning (artificial intelligence)
biblio
A THz Image Edge Detection Method Based on Wavelet and Neural Network
Submitted by grigby1 on Mon, 02/08/2021 - 2:00pm
neural network method
wavelet transforms
wavelet transform method
wavelet decomposition
wavelet analysis
wavelet
THz image edge detection method
terahertz waves
terahertz wave imaging
security
Scalability
Resiliency
resilience
pubcrawl
Pattern recognition
Neural networks
Canny operator method
neural network
neural nets
Metrics
low-frequency subimage detection
information security
image recognition
Image Processing
image fusion
Image edge detection
Image analysis
frequency
Electromagnetic radiation
edge image fusion
edge detection
composability
biblio
Application of Optimized Bidirectional Generative Adversarial Network in ICS Intrusion Detection
Submitted by grigby1 on Wed, 02/03/2021 - 12:56pm
optimal model
Training
supervised control
single variable principle
security of data
Scalability
SCADA systems
SCADA
Resiliency
resilience
pubcrawl
parameter optimization
optimized BiGAN
optimized bidirectional generative adversarial network
optimization
optimisation
network intrusion detection
neural nets
massive network traffic data
Intrusion Detection
integrated circuits
Industrial Control Systems
industrial control system
industrial control
ICS intrusion detection method
high-dimensional network traffic data
generative adversarial networks
data acquisition
control system security
control engineering computing
Computational modeling
BiGAN
biblio
Deep Learning Approach for Arbitrary Image Style Fusion and Transformation using SANET model
Submitted by aekwall on Mon, 02/01/2021 - 11:45am
impressive artworks
neural style transfer
arbitrary image style fusion
arbitrary image stylization
arbitrary style transformation
arbitrary style-transformation procedures
ASPM
content-image
generated artwork
identity-loss function
ART
real-time applications
real-time fusion
running time
SANET
SANET model
semantic-structure
style characteristics
style-image
neural nets
Conferences
learning (artificial intelligence)
Resiliency
pubcrawl
deep learning
Computational modeling
Shape
optimization
Scalability
machine learning
Market research
convolutional neural networks
computer vision
Predictive Metrics
Image Processing
image fusion
rendering (computer graphics)
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