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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
CNN-LSTM model
biblio
DeepMal: A CNN-LSTM Model for Malware Detection Based on Dynamic Semantic Behaviours
Submitted by aekwall on Mon, 02/08/2021 - 12:41pm
cyber-criminals
recurrent neural nets
Human Factors
LSTM
Compositionality
high-level abstractions
CNN-LSTM model
Cyber Dependencies
component-CNN
convolution
deep learning framework
DeepMal
dynamic semantic behaviours
evil intentions
locally spatial correlations
malicious programs
malware classification task
sequential longterm dependency
Metrics
malware
malware detection
invasive software
Data models
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
Scalability
Neurons
pattern classification
Training
machine learning
convolutional neural nets
natural language processing
NLP techniques
biblio
Anomaly Detection in Surveillance Videos
Submitted by aekwall on Mon, 04/13/2020 - 9:28am
long short-term memory networks
Videos
anomalous behavior
anomaly classification
CNN-LSTM model
explosion
Explosions
Frames
learning patterns
video surveillance
public safety
road accidents
spatial feature extraction
spatial feature learning
surveillance videos
temporal feature learning
UCF Crime dataset
convolutional neural nets
feature extraction
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
Metrics
LSTM networks
Training
security of data
Anomaly Detection
convolutional neural networks
image classification
video signal processing
recurrent neural nets
classification
surveillance
