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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
visualization technique
biblio
A new approach to detect next generation of malware based on machine learning
Submitted by aekwall on Mon, 02/07/2022 - 5:06pm
Technological innovation
zero-day
visualization technique
pediatrics
malware classification
Predictive Metrics
Radio frequency
malware
Cybersecurity
visualization
Human behavior
Resiliency
pubcrawl
machine learning algorithms
machine learning
Training
privacy
biblio
Framework for Data Driven Health Monitoring of Cyber-Physical Systems
Submitted by grigby1 on Tue, 10/06/2020 - 2:11pm
real-time systems
feature extraction method
health monitoring
heterogeneous data streams
interconnected computational resources
Monitoring
Neurons
physical resources
power engineering computing
pubcrawl
feature extraction
resilience
Resiliency
Self-organizing feature maps
state estimation
state identification
time state estimation
Unsupervised Learning
visualization technique
data acquisition
building management systems
condition monitoring
continuous monitoring
CPS operational health
CPS resilience
CPS testbed
cyber physical systems
cyber-network
cyber-physical systems
Anomaly Detection
data driven health monitoring
data driven methodology
data driven techniques
data features
Data mining
Degradation
distributed power generation
explainable AI
biblio
Hunting for Naval Mines with Deep Neural Networks
Submitted by grigby1 on Wed, 04/11/2018 - 2:49pm
sonar imaging
modest DNN model
naval engineering computing
neural nets
privacy
pubcrawl
remotely operated vehicles
robot vision
sea faring vessels
side-scan sonar imagery
Sonar
minelike objects
support vector machine
Support vector machines
threat vectors
Throughput
trainable parameter count
Training
Training data
Underwater vehicles
visualization technique
Weapons
DNN depth
autonomous unmanned underwater vehicle
Brain modeling
calculation requirements
computation requirements
Computational modeling
data distribution training
Data models
deep neural network methods
deep neural networks
detection efficacy
autonomous underwater vehicles
DNN models
explosive naval mines
explosives
feature extraction
image recognition
image recognition tasks
learning (artificial intelligence)
memory requirements
Metrics
