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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
grid search
biblio
K-Nearest Neighbors and Grid Search CV Based Real Time Fault Monitoring System for Industries
Submitted by grigby1 on Fri, 05/22/2020 - 2:23pm
model-based techniques
flask
graphical user interface (GUI)
grid search cross validation
grid search CV
induction machine
Induction machines
K-Nearest Neighbors (KNN)
KNN
knowledge-based approach
Feature Selection
Python
python web framework
real time fault monitoring
signature extraction-based approach
Statistics
time fault monitoring system
user friendly interface
nearest neighbor search
nearest neighbour methods
pubcrawl
Circuit faults
Data models
internet
Industries
production engineering computing
Classification algorithms
Metrics
Measurement
grid search
Prediction algorithms
k-nearest neighbors
user interfaces
condition monitoring (CM)
cross validation (CV)
fault detection
fault detection techniques
fault diagnosis
biblio
Insider Threat Detection Based on Adaptive Optimization DBN by Grid Search
Submitted by grigby1 on Tue, 01/21/2020 - 11:25am
learning rate
two-dimensional grid
Training
threat detection rate
security of data
search problems
Resiliency
resilience
pubcrawl
policy-based governance
optimization parameters
Optimization methods
one-dimensional parameter optimization
network structure
Metrics
insider threat
learning (artificial intelligence)
insider threat detection method
Human behavior
grid search
deep learning model
deep learning
deep belief net
composability
collaboration
belief networks
adaptive systems
adaptive optimization DBN
adaptive optimization
Adaptation models
biblio
Time Series Forecasting by Evolving Deep Belief Network with Negative Correlation Search
Submitted by grigby1 on Wed, 03/06/2019 - 4:30pm
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