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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
recurrent neural nets
biblio
Human Action Recognition in Video Using DB-LSTM and ResNet
Submitted by grigby1 on Mon, 01/11/2021 - 2:01pm
learning (artificial intelligence)
video-content-based monitoring
video signal processing
video processing
video frames
Scalability
ResNet152
Resiliency
resilience
recurrent neural nets
PyTorch
pubcrawl
object detection
Metrics
man-machine interaction
action recognition
image sequences
Image Processing
image motion analysis
human action recognition method
feature extraction
deep video
deep neural networks
deep bidirectional LSTM networks
DB-LSTM network
DB-LSTM
convolutional neural networks
convolutional neural network
convolutional neural nets
CNN architecture
biblio
Sentimental Style Transfer in Text with Multigenerative Variational Auto-Encoder
Submitted by grigby1 on Fri, 12/11/2020 - 2:54pm
resilience
vae
transfer sentiment values
textual data
text analysis
Text
style-transfer
style
sentimental style transfer
sentiment-transfer
Scalability
Resiliency
audio data
Recurrent neural networks
recurrent neural nets
pubcrawl
neural style transfer
multigenerative variational auto-encoder
Metrics
long short-term memories
learning (artificial intelligence)
Image Processing
generative adversarial network
deep learning
biblio
Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment
Submitted by aekwall on Mon, 11/09/2020 - 1:20pm
Hidden Markov models
Information Reuse and Security
VED-RNN
variational encoder-decoder recurrent neural network
System-calls
system-call traces
sequence to sequence model
sequence to sequence
security tools
prediction model input data representation
HIDS
anomaly prediction
one-class classification
NIDS
security of data
Compositionality
Intrusion Detection Systems
Recurrent neural networks
recurrent neural nets
Predictive models
Anomaly Detection
Prediction algorithms
pattern classification
Decoding
pubcrawl
Resiliency
Classification algorithms
biblio
Face Recognition Based on Densely Connected Convolutional Networks
Submitted by aekwall on Mon, 11/09/2020 - 1:13pm
CASIA-WebFace dataset
Information Reuse and Security
residual network
LFW dataset
face verification accuracy
face recognition model
face recognition methods
densely connected convolutional neural network
densely connected convolutional networks
dense face model
dense block layers
feature extraction
CAS-PEAL-Rl dataset
face recognition
Compositionality
recurrent neural nets
convolution
pattern classification
pubcrawl
Resiliency
learning (artificial intelligence)
biblio
A Compositionality Assembled Model for Learning and Recognizing Emotion from Bodily Expression
Submitted by aekwall on Mon, 11/02/2020 - 2:29pm
adaptive learning techniques
single components
RNN learning
real-time emotion recognition
nonlinear dynamic bifurcation
internal emotional state
human body expression
hierarchical recurrent neural learning framework
hierarchical model
express our internal status
compositionality principle
compositionality hypothesis
bodily presentation
bodily expression
bifurcation
Adaptation models
adaptive learning
emotion recognition
Computing Theory and Compositionality
Compositionality
Human Factors
Recurrent neural networks
recurrent neural nets
robots
Training
Neurons
pubcrawl
Human behavior
machine learning
learning (artificial intelligence)
biblio
An Accurate False Data Detection in Smart Grid Based on Residual Recurrent Neural Network and Adaptive threshold
Submitted by grigby1 on Wed, 10/14/2020 - 12:39pm
false data injection attack
cyber physical systems
Transmission line measurements
False Data Detection
power system state estimation
accurate false data detection
Adaptive detection threshold
adaptive judgment threshold
adaptive threshold
Recurrent neural networks
FDIA detection method
linear prediction model
malicious attack
R2N2 model
Residual recurrent neural network
residual recurrent neural network prediction model
Weibull distribution
state estimation
security of data
Predictive models
pubcrawl
Human behavior
resilience
Resiliency
Mathematical model
Data models
Adaptation models
recurrent neural nets
power engineering computing
power system security
Smart Grid
smart power grids
composability
cyber-attacks
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
A Hierarchy-to-Sequence Attentional Neural Machine Translation Model
Submitted by grigby1 on Mon, 10/05/2020 - 2:01pm
semantic compositionality modeling
neural nets
optimal model parameters
parameter learning
pubcrawl
recurrent neural nets
Recurrent neural networks
segmented clause sequence
segmented clauses
neural machine translation
Semantics
sequence-to-sequence attentional neural machine translation
short clauses
Speech
speech processing
text analysis
Training
translation prediction
hierarchical neural network structure
Chinese-English translation
clause level
Compositionality
Context modeling
conventional NMT model
Decoding
English-German translation
grammars
attention models
Hierarchy-to-sequence
hierarchy-to-sequence attentional neural machine translation model
hierarchy-to-sequence attentional NMT model
language translation
learning (artificial intelligence)
long parallel sentences
natural language processing
biblio
Vulnerability Severity Prediction With Deep Neural Network
Submitted by aekwall on Mon, 09/28/2020 - 12:35pm
standard cross site scripting vulnerability text data
deep neural networks
network security incidents
XSS vulnerability
false negative rate
huge economic losses
multiple deep learning methods
optimal CNN network
recurrent convolutional neural networks
Deep Neural Network
text classification
TextRCNN
vulnerability risk levels
vulnerability severity prediction
vulnerability text classification evaluation
vulnerability text information
Cross Site Scripting
computer network security
recurrent neural nets
convolution
Communication networks
text categorization
convolutional neural nets
machine learning
Neural networks
pubcrawl
Human behavior
Resiliency
learning (artificial intelligence)
Data models
security
Scalability
network security
biblio
Automatic XSS Detection and Automatic Anti-Anti-Virus Payload Generation
Submitted by aekwall on Mon, 09/28/2020 - 12:35pm
parameter characteristics
SVM algorithm
XSS vulnerability
automatic anti-anti-virus payload generation tool
automatic bypassing
automatic detection
automatic XSS detection tool
DQN algorithm
malicious XSS attacks
malicious XSS parameters
Web application
RNN LSTM algorithm
rule-based WAF
user input parameters
user interaction
Web 2.0 era
XSS attack
XSS attack codes
Cross Site Scripting
internet
Support vector machines
feature extraction
learning (artificial intelligence)
machine learning
Resiliency
Human behavior
pubcrawl
Reinforcement learning
Scalability
tools
cross-site scripting
Training
recurrent neural nets
automatic generation
computer viruses
Payloads
Browsers
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