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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Deep Belief Network
biblio
Rolling Bearing Fault Diagnosis based on Deep Belief Network
Submitted by grigby1 on Fri, 03/31/2023 - 8:27am
belief networks
Deep Belief Network
deep learning
Electrical Engineering
employee welfare
fault diagnosis
Metrics
Neural networks
principal component analysis
pubcrawl
Rolling bearings
Support vector machines
biblio
Research on Mechanical Fault Diagnosis of Vacuum Circuit Breaker Based on Deep Belief Network
Submitted by grigby1 on Fri, 03/31/2023 - 8:27am
belief networks
Neural networks
pubcrawl
Metrics
Analytical models
Degradation
circuit breakers
fault diagnosis
Deep Belief Network
Mechanical fault
operating mechanism
Thermal engineering
Vacuum circuit breaker
Vacuum systems
biblio
A Reliable Open-Switch Fault Diagnosis Strategy for Grid-tied Photovoltaic Inverter Topology
Submitted by aekwall on Tue, 03/08/2022 - 2:38pm
photovoltaic (PV) inverter
open-circuit faults
Deep Belief Network
Photovoltaic systems
multiple fault diagnosis
Temperature distribution
Reliability engineering
Adaptation models
fault diagnosis
cyber-physical systems
Resiliency
Metrics
pubcrawl
Human Factors
Temperature measurement
Transforms
biblio
Frequency Security Assessment for Receiving-end System Based on Deep Learning Method
Submitted by aekwall on Tue, 04/27/2021 - 1:11pm
Conferences
cyber-physical systems
Resiliency
pubcrawl
Deep Belief Network
belief networks
Asia
frequency security assessment
HVDC blocking
industrial power systems
biblio
A Security Situation Prediction Method Based on Improved Deep Belief Network
Submitted by aekwall on Tue, 04/27/2021 - 1:09pm
security
cyber-physical systems
Resiliency
pubcrawl
Sociology
Statistics
Prediction algorithms
Clustering algorithms
Communication networks
Predictive models
Deep Belief Network
belief networks
Active Defense
electricity information network
security situation prediction
biblio
Time-series Network Anomaly Detection Based on Behaviour Characteristics
Submitted by aekwall on Tue, 04/27/2021 - 1:09pm
Anomaly Detection
time-series
preprocessing
bidirectional gated recurrent unit
abnormal network behaviors detection
belief networks
Deep Belief Network
timing
Logic gates
security
Correlation
Training
component
pubcrawl
Resiliency
cyber-physical systems
Adaptation models
biblio
Research on Intrusion Detection Based on Improved DBN-ELM
Submitted by aekwall on Mon, 08/24/2020 - 1:37pm
pattern classification
majority voting
Deep confidence network
DBN-ELM
classifier
Deep Belief Network
extreme learning machine
NSL-KDD dataset
belief networks
feedforward neural nets
Training
Intrusion Detection
Neurons
classification
composability
pubcrawl
Resiliency
feature extraction
machine learning algorithms
Classification algorithms
security of data
biblio
Optimized Activation Function on Deep Belief Network for Attack Detection in IoT
Submitted by aekwall on Mon, 08/24/2020 - 1:37pm
optimisation
Proposed Feature Extraction
operational security
Lion Algorithm
higher-order statistical features
feature extraction process
feature classification process
DP management
attack detection system
activation function optimization
Deep Belief Network
belief networks
Attack detection
classification
statistical analysis
IoT
Training
pattern classification
Neurons
optimization
composability
pubcrawl
Resiliency
feature extraction
Classification algorithms
security
Internet of Things
Conferences
security of data
biblio
Non-intrusive Runtime Monitoring for Power System Intelligent Terminal Based on Improved Deep Belief Networks (I-DBN)
Submitted by aekwall on Mon, 08/24/2020 - 1:37pm
Cyber Attack Detection
power system management
power system intelligent terminal equipment
power system faults
Power management
power companies
nonintrusive runtime monitoring
nonintrusive data collection
nonintrusive business-level monitoring platform
improved deep belief networks
business-level security monitoring
business-level monitoring platform
Deep Belief Network
runtime monitoring
Power industry
Resiliency
fault diagnosis
Power Grid
power distribution
power meters
belief networks
power system measurement
data acquisition
fault detection
power system security
smart power grids
power system analysis computing
composability
pubcrawl
biblio
Performance Comparison of Intrusion Detection System Between Deep Belief Network (DBN)Algorithm and State Preserving Extreme Learning Machine (SPELM) Algorithm
Submitted by aekwall on Mon, 05/11/2020 - 11:18am
pedestrian detection
machine learning algorithms
machine learning classifier
Metrics
network intrusion detection
NSL- KDD dataset
NSL-KDD dataset
object detection
pattern classification
learning (artificial intelligence)
pedestrians
security of data
SPELM algorithm
state preserving extreme learning machine algorithm
State Preserving Extreme Learning Machine(SPELM)
testing
Training
DBN algorithm
pubcrawl
composability
Resiliency
Anomaly Detection
Classification algorithms
Computational modeling
cyber security
Data models
belief networks
Deep Belief Network
deep belief network algorithm
face recognition
feature extraction
feedforward neural nets
Intrusion Detection
intrusion detection system
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