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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
linear regression
biblio
Empirical Research on Multifactor Quantitative Stock Selection Strategy Based on Machine Learning
Submitted by grigby1 on Wed, 09/20/2023 - 2:07pm
composability
random forest regression
quantitative investment
multifactor analysis
gradient lifting regression
linear regression
Fitting
Pattern recognition
Input variables
machine learning
privacy
Resiliency
resilience
pubcrawl
Support vector machines
Forestry
machine learning algorithms
biblio
Missing Values for Classification of Machine Learning in Medical data
Submitted by grigby1 on Fri, 06/16/2023 - 3:57pm
Big Data
data deletion
Data mining
deletion
imputation
linear regression
machine learning
medical data
missing values
mixed-type
pubcrawl
Scalability
Support vector machines
Task Analysis
biblio
Secure Outsourcing of Fuzzy Linear Regression in Cloud Computing
Submitted by grigby1 on Fri, 08/26/2022 - 11:09am
tools
Cloud Computing
machine learning
security
pubcrawl
Protocols
Metrics
Linear programming
Computing Theory
outsourcing
linear regression
fuzzy linear regression
Secure computing
transformational approach
biblio
Implementing Efficient and Scalable In-Database Linear Regression in SQL
Submitted by grigby1 on Fri, 07/15/2022 - 12:43pm
relational databases
machine learning
machine learning algorithms
pubcrawl
Human behavior
resilience
Resiliency
Big Data
composability
Metrics
query processing
relational database security
codes
In-Database Processing
linear regression
biblio
A Differential-Privacy-based hybrid collaborative recommendation method with factorization and regression
Submitted by grigby1 on Fri, 07/15/2022 - 12:21pm
collaboration
Predictive models
pubcrawl
Human behavior
resilience
Resiliency
Scalability
privacy
Computational modeling
Big Data
differential privacy
linear regression
recommender systems
recommender system
matrix factorization (MF)
movie preferences
biblio
XAI Evaluation: Evaluating Black-Box Model Explanations for Prediction
Submitted by grigby1 on Wed, 12/22/2021 - 12:53pm
Biological neural networks
black-box model explanations
boosting
Data models
ensemble models
linear regression
neural network
Prediction algorithms
Predictive models
pubcrawl
Reliability
resilience
Resiliency
Scalability
xai
XAI evaluation
biblio
Generic Modeling of Differential Striplines Using Machine Learning Based Regression Analysis
Submitted by aekwall on Mon, 03/22/2021 - 1:10pm
design of experiments
tabular W-element model
strip lines
recursive approach
machine learning based regression analysis
generic model
frequency-dependent dielectric loss
electrical engineering computing
DoE
differential stripline generic modeling
dielectric losses
data points
learning (artificial intelligence)
linear regression model
TensorFlow
linear regression
ANN
Compositionality
expandability
regression analysis
Hafnium
pubcrawl
Resiliency
machine learning
biblio
Application of Homomorphic Encryption in Machine Learning
Submitted by aekwall on Mon, 02/01/2021 - 11:35am
Scalability
encryption
machine learning algorithms
Resiliency
pubcrawl
Cryptography
Metrics
Prediction algorithms
machine learning
Human Factors
Ciphers
Homomorphic encryption
linear regression
biblio
Voltage Based Authentication for Controller Area Networks with Reinforcement Learning
Submitted by aekwall on Mon, 07/20/2020 - 10:44am
testing
spoofing model
spoofing attacks
physical authentication scheme
linear regression
ECU signals
CAN bus
authentication mode
electronic control units
controller area networks
controller area network security
Computers
computer network security
machine learning
Reinforcement learning
Neural networks
pubcrawl
Resiliency
learning (artificial intelligence)
cyber-physical systems
Support vector machines
computer architecture
Internet of Things
authorisation
biblio
Predicting Cascading Failures in Power Grids using Machine Learning Algorithms
Submitted by grigby1 on Fri, 04/24/2020 - 4:38pm
MAT-POWER
cascading failure data set
cascading failure prediction
cascading failure simulator framework
Cascading Failures
data-driven technique
edge betweenness centrality
linear regression
load shedding
massive blackouts
cascading failure data
Monte-Carlo simulation
power grid operating parameters
power-grid engineers
real-world power grids
regression analysis
topological parameters
transmission line failures
Vulnerability prediction
Power Grid Vulnerability Assessment
power grids
machine learning
machine learning algorithms
pubcrawl
resilience
Resiliency
power engineering computing
composability
Load modeling
pattern classification
learning (artificial intelligence)
Metrics
failure analysis
power system reliability
power system faults
Power system protection
power transmission lines
average shortest distance
cascade data generation
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