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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
gradient methods
biblio
Multi-Robot System Based on Swarm Intelligence for Optimal Solution Search
Submitted by aekwall on Mon, 12/14/2020 - 12:37pm
DC motors
temperature generating sources
system structure
Search Space
radio-electro-magnetic devices
radiation sources
optimal solution search
operation system
neurocontrollers
multirobot system
Multi-Robot System
gradient vectors
gradient vector
Gradient Field
pubcrawl
DC motor rotational speed
angular velocity control
Artificial Neural Networks
Systems engineering and theory
gradient methods
Compositionality
sensors
Vectors
particle swarm optimization
Swarm Intelligence
multi-robot systems
mobile robots
composability
biblio
Image Style Transfer with Multi-target Loss for loT Applications
Submitted by aekwall on Mon, 12/07/2020 - 12:10pm
fundamental problem
visualization
pre-trained deep convolutional neural network VGG19
output image
neural nets
multitarget loss
loss function
learning (artificial intelligence)
input style image
input images
Information filters
image style transfer
Image reconstruction
gradient methods
neural style transfer
Filter banks
feature map
feature extraction
context image
content style
computer vision
artistic images
arbitrary images
pubcrawl
Predictive Metrics
Resiliency
Scalability
biblio
CoDRL: Intelligent Packet Routing in SDN Using Convolutional Deep Reinforcement Learning
Submitted by grigby1 on Wed, 12/02/2020 - 2:03pm
routing configuration
network performance
Packet loss rate
pubcrawl
q-learning
real-time modification
resilience
Resiliency
resource allocation
routing computation
network data
routing optimization
routing strategies
Scalability
SDN controller
Software Defined Network (SDN)
software defined networking
telecommunication control
telecommunication network routing
telecommunication traffic
deep reinforcement learning agent
Convolution layer
Convolutional Deep Reinforcement Learning
convolutional layer
convolutional neural nets
coupled congestion control
current SDN systems
Deep Deterministic Policy Gradient (DDPG)
Deep Deterministic Policy Gradients deep agent
deep reinforcement learning
CoDRL model
dynamic packet routing
dynamic traffic engineering
flexible traffic engineering
gradient methods
intelligent packet routing
less efficient resource utilization
mean network delay
network congestion
biblio
Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction
Submitted by grigby1 on Tue, 12/01/2020 - 1:24pm
meta-reinforcement learning
trust modelling
statistical adaptation model
socially assistive robotics
social aspects of automation
Service robots
robust trust
Robot Trust
Resiliency
resilience
pubcrawl
perceived trustworthiness
adaptation techniques
meta-learning based policy gradient method
meta-learning based adaptation
learning (artificial intelligence)
human-robot interaction
human trust
Human Factors
Human behavior
gradient methods
escape room scenario
bi-directional trust
biblio
Enhancing Smart Grid Cyber-Security Using A Fuzzy Adaptive Autonomy Expert System
Submitted by aekwall on Mon, 10/12/2020 - 11:36am
power system security
Human automation interaction
Human behavior
human computer interaction
information technology
leave-one-out cross-validation
level of automation
performance shaping factors
power engineering computing
gradient methods
pubcrawl
Resiliency
Scalability
security of data
smart grid cybersecurity
Smart Grids
smart power grids
expert systems
Adaptive Autonomy
adaptive systems
automation
Complexity theory
Computer crime
cyber security
environmental conditions
expert system database
False Data Detection
Expert Systems and Security
fuzzy adaptive autonomy expert system
fuzzy expert system
fuzzy rule
fuzzy set theory
fuzzy systems
gradient descent algorithm
biblio
Straggler Resilient Serverless Computing Based on Polar Codes
Submitted by grigby1 on Tue, 10/06/2020 - 1:40pm
Resiliency
hybrid computing framework
linear algebra
matrix multiplication
optimisation
polar codes
pubcrawl
Random access memory
resilience
gradient methods
sequential decoding
serverless computing mechanism
serverless platforms
Servers
straggler resilient serverless computing
straggler-resilience
Task Analysis
channel coding
encoding
emerging cloud based computation model
distributed computation
Decoding
Computing Theory
computationally expensive tasks
computationally effective manner
Computational modeling
computational burden
Complexity theory
coding theory
coding methods
coded computation technique
coded computation scheme
Cloud Computing
biblio
Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques
Submitted by grigby1 on Mon, 10/05/2020 - 2:11pm
Scalability
Neural networks
Newton method
nonconvex functions
optimisation
optimization
pubcrawl
Quasi-Newton methods
resilience
Resiliency
memory storage
security
Signal processing algorithms
storage management
Training
training responses
TRMinATR
Trust-region methods
trust-region minimization algorithm
Hessian matrices
computational complexity
computer architecture
computer theory
deep learning
Europe
gradient descent methods
gradient methods
Hessian approximations
approximation theory
Hessian matrix inversion
Human Factors
learning (artificial intelligence)
limited memory BFGS quasiNewton method
Limited-memory BFGS
Line-search methods
machine learning
matrix inversion
biblio
A Black-Box Approach to Generate Adversarial Examples Against Deep Neural Networks for High Dimensional Input
Submitted by grigby1 on Fri, 09/04/2020 - 4:11pm
linear regression model
black-box setting
CNNs
data science
extensive recent works
generate adversarial examples
generating adversarial samples
high dimensional
image classification
learning models
linear fine-grained search
black-box approach
minimizing noncontinuous function
model parameters
noncontinuous step function problem
numerous advanced image classifiers
queries
white-box setting
Zeroth order
zeroth order optimization algorithm
zeroth-order optimization method
Black Box Security
Cyberspace
query processing
Conferences
optimisation
pubcrawl
composability
Metrics
Resiliency
resilience
learning (artificial intelligence)
neural nets
security of data
machine-to-machine communications
regression analysis
Iterative methods
deep neural networks
face recognition
adversarial perturbations
gradient methods
adversarial examples
approximation theory
biblio
Semi-black-box Attacks Against Speech Recognition Systems Using Adversarial Samples
Submitted by grigby1 on Fri, 09/04/2020 - 4:10pm
automatic speech recognition systems
Black Box Security
targeted ASR systems
semiblack-box attack
semi-black-box attacks
security vulnerabilities
Kaldi
high attack success rate
gradient-independent genetic algorithm
gradient descent algorithm
adversary-expected transcript texts
adversarial samples
adversarial attacks
white-box attacks
Speech recognition
gradient methods
security of data
Deep Neural Network
Perturbation methods
deep neural networks
Statistics
Sociology
genetic algorithms
neural nets
resilience
Resiliency
Metrics
composability
pubcrawl
Hidden Markov models
Computational modeling
biblio
Targeted Adversarial Examples for Black Box Audio Systems
Submitted by grigby1 on Fri, 09/04/2020 - 4:10pm
adversarial perturbations
Black Box Security
white-box attacks
speech-to-text
Speech recognition
gradient methods
gradient estimation
fooling ASR systems
estimation
deep recurrent networks
black-box
black box audio systems
automatic speech recognition systems
audio transcription
audio systems
adversarial generation
security of data
Approximation algorithms
recurrent neural nets
adversarial attack
deep neural networks
Statistics
Sociology
genetic algorithms
Decoding
resilience
Resiliency
Metrics
composability
pubcrawl
Task Analysis
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