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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
belief networks
biblio
3D Modeling Method Based on Deep Belief Networks (DBNs) and Interactive Evolutionary Algorithm (IEA)
Submitted by grigby1 on Wed, 03/06/2019 - 3:30pm
3D modeling
belief networks
collaboration
composability
Deep belief networks
Human behavior
Interactive Evolutionary Algorithm
Metrics
policy-based governance
pubcrawl
resilience
Resiliency
Scalability
thefitness approximation evaluation model
biblio
Using Deep Learning Model for Network Scanning Detection
Submitted by grigby1 on Wed, 03/06/2019 - 3:30pm
belief networks
collaboration
composability
Deep Belief Network
Human behavior
Intrusion Detection
Metrics
network scanning attacks
policy-based governance
pubcrawl
resilience
Resiliency
Scalability
biblio
Analysis of Radiation Effects for Monitoring Circuit Based on Deep Belief Network and Support Vector Method
Submitted by grigby1 on Wed, 03/06/2019 - 3:30pm
Monitoring
Training
total ionizing dose
support vector regression
Support vector machines
support vector machine
Scalability
Resiliency
resilience
remaining useful life
remaining life assessment
regression analysis
radiation effects
pubcrawl
policy-based governance
monitoring circuit
belief networks
Metrics
intelligent analysis method
integrated circuit reliability
Human behavior
feature extraction
deep belief network model
Deep Belief Network
DBN-SVM
composability
collaboration
circuit signal
circuit reliability
circuit degradation trend
circuit analysis computing
biblio
Optimization Algorithm Research of Logistics Distribution Path Based on the Deep Belief Network
Submitted by grigby1 on Wed, 03/06/2019 - 3:30pm
Path optimization
vehicles
urban traffic
Training
traffic forecast model
Traffic forecast
time-share traffic network
Scalability
Roads
road traffic
Resiliency
resilience
pubcrawl
Prediction algorithms
policy-based governance
actual logistics distribution
optimization algorithm
optimization
optimisation
Metrics
Logistics distribution
Logistics
Human behavior
Deep Belief Network
Data models
composability
collaboration
belief networks
ant algorithm
biblio
Time Series Forecasting by Evolving Deep Belief Network with Negative Correlation Search
Submitted by grigby1 on Wed, 03/06/2019 - 3:30pm
resilience
neural nets
neural network models
Neural networks
optimisation
optimization
policy-based governance
pubcrawl
random search
Negative correlation search
Resiliency
Scalability
search problems
time series
Time series analysis
time series datasets
time series forecasting
Training
forecasting theory
Bayesian optimization
belief networks
collaboration
composability
DBN
Deep Belief Network
derivative-free optimizer-negative correlation search
forecasting
Bayes methods
grid search
Human behavior
hyperparameters optimization
learning (artificial intelligence)
learning rates
Load modeling
Mathematical model
Metrics
biblio
Nonlinear System Identification Method Based on Improved Deep Belief Network
Submitted by grigby1 on Wed, 03/06/2019 - 3:30pm
Mathematical model
Training
single crystal furnace
Silicon
shallow BP network
Scalability
Resiliency
resilience
pubcrawl
policy-based governance
parameters identification
nonlinear systems
nonlinear system identification method
nonlinear control systems
Metrics
belief networks
improved deep belief network
Human behavior
higher identification accuracy
Deep Belief Network
DBN
Data models
Crystals
CRBM
continuous restricted Boltzmann machine
Continuous Resricted Boltzmann Machine
composability
collaboration
Boltzmann machines
Biological neural networks
biblio
An Energy-Efficient Stochastic Computational Deep Belief Network
Submitted by grigby1 on Wed, 03/06/2019 - 3:29pm
random number generation
high energy consumption
Human behavior
learning (artificial intelligence)
Metrics
neural nets
Neurons
nonlinearly separable patterns
pattern classification
policy-based governance
pubcrawl
Hardware
random number generators
rectifier linear unit
resilience
Resiliency
RNGs
SC-DBN design
Scalability
Stochastic computing
Stochastic processes
DNNs
belief networks
Biological neural networks
Cognitive Computing
collaboration
composability
computation speed
Correlation
Deep Belief Network
deep neural networks
approximate SC activation unit
effective machine learning models
Electronic mail
energy consumption
energy-efficient deep belief network
energy-efficient stochastic computational deep belief network
fixed point arithmetic
fixed-point implementation
floating point arithmetic
floating-point design
biblio
User-Guided Program Reasoning Using Bayesian Inference
Submitted by grigby1 on Thu, 02/14/2019 - 10:19am
alarm ranking
Bayesian inference
belief networks
composability
Metrics
pubcrawl
static analysis
taint analysis
biblio
Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark
Submitted by grigby1 on Wed, 09/12/2018 - 10:15am
security of data
Naive Bayes
network traffic
pattern classification
privacy
pubcrawl
public dataset
Relays
security
machine learning
sole statistical features
specific anonymity tool
statistical analysis
telecommunication traffic
tools
Tor
Traffic classification
users privacy
dark web
anonymity services
Bandwidth
Bayes methods
Bayesian network
belief networks
classifiers
communication content
Cryptography
anonymity
data privacy
encryption
Human behavior
Human Factors
I2P
internet
JonDonym
learning (artificial intelligence)
biblio
Methodology (N2FMEA) for the detection of risks associated with the components of an underwater system
Submitted by K_Hooper on Wed, 04/04/2018 - 8:51am
n2 approaches
Underwater vehicles
Underwater Networks
Telephone sets
security
Scalability
risk management
risk level
Resiliency
pubcrawl
Organizations
N2FMEA
belief networks
Metrics
Fuzzy logic
fault trees
fault diagnosis
failure mode
failure analysis
failure (mechanical)
Electronic mail
Complexity theory
complex underwater system
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