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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
data handling
biblio
Explaining Visual Models by Causal Attribution
Submitted by
grigby1
on Fri, 08/28/2020 - 12:23pm
attribution
Causal
causal attribution
causal counterfactuals
composability
Computational modeling
counterfactuals
data distribution
data handling
Data models
deep
explanation
Face
factor alteration
feature extraction
Generators
Human behavior
image generative models
intervened causal model
learning
machine learning
Metrics
pubcrawl
Rain
visual models
visualization
biblio
Securing User Access at IoT Middleware Using Attribute Based Access Control
Submitted by
aekwall
on Mon, 08/17/2020 - 11:42am
security
IoT
computer network security
Scalability
ciphertext-policy attribute-based encryption
Access Control
authorisation
authorization
Cryptography
attribute-based encryption
Internet of Things
IoT devices
data encryption
Human behavior
pubcrawl
policy-based governance
authentication
Logic gates
middleware
internetworking
data handling
IoT middleware
attribute based access control
device data
IoT gateway
IoT system architecture
middleware layer
typical IoT system model
user access control
biblio
Hadoop-based Dark Web Threat Intelligence Analysis Framework
Submitted by
grigby1
on Fri, 07/10/2020 - 11:54am
anonymous messaging
anonymous TOR tool
anonymous user communication
crime messages
dark network criminal networks
dark network research
dark web
dark-net threat intelligence
data handling
data privacy
Distributed databases
Hadoop
Hadoop-based dark web threat intelligence analysis framework
HBase-based distributed database
Human behavior
Human Factors
internet
network services
pubcrawl
threat intelligence
threat intelligence information
Tor
biblio
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
Submitted by
aekwall
on Mon, 03/30/2020 - 11:33am
composability
computational science and engineering
CSE
CUDA cores
data handling
Human behavior
learning (artificial intelligence)
machine learning lifecycle
Metrics
ML lifecycle
parallel architectures
PROV-ML
Provenance
provenance data representation
provenance queries
provenance tracking solutions
pubcrawl
query processing
Resiliency
scientific information systems
workflow management software
workflow provenance
biblio
Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization
Submitted by
aekwall
on Mon, 03/30/2020 - 11:33am
Data models
Resiliency
Human behavior
pubcrawl
composability
graph theory
Metrics
query processing
Databases
context-free grammars
optimisation
computational complexity
meta data
metadata
Writing
Pipelines
Semantics
Provenance
data science
data handling
approximation theory
Approximation algorithms
boundary criteria
context free language
context-free grammar
data science lifecycle provenance
data science platforms
destination vertices
graph data models
graph query
graph query model
graph segmentation operator
graph summarization operator
high-level graph query operators
model management
provenance ingestion mechanisms
provenance management
PSPACE-complete
query techniques
Skeleton
source vertices
biblio
Efficient Estimation of Read Density When Caching for Big Data Processing
Submitted by
grigby1
on Tue, 02/18/2020 - 11:55am
pubcrawl
approximate histogram
arrays
Big Data
big data processing systems
big data workloads
cache policy
cache storage
cached objects
caching policy
Cloud Computing
cloud workloads
Conferences
data handling
Data models
database management systems
distributed systems
Histograms
hit rate
Human behavior
MapReduce deployment
Mathematical model
Metrics
parallel processing
policy-based technique
read density
resilience
Resiliency
runtime-space efficient computation
Scalability
Spark deployment
trace-based simulation
traditional database
Web Caching
workload traces representative
biblio
Data Caching Optimization in the Edge Computing Environment
Submitted by
grigby1
on Tue, 02/18/2020 - 11:55am
pubcrawl
cache storage
centralized cloud
Cloud Computing
data access
data access latency
data cache problem
data caching optimization
data caching problem
data handling
data optimization
data popularity
delays
edge computing
edge computing environment
edge servers
Energy Efficiency
information retrieval
Integer Problem (IP)
integer programming
integer programming problem
Metrics
mobile computing
mobile data traffic
mobile devices
mobile users
network delay reduction
Page-Hinckley-Test (PHT)
resilience
Resiliency
Scalability
service provider
Web Caching
biblio
Improving Energy Efficiency of Hadoop Clusters using Approximate Computing
Submitted by
aekwall
on Mon, 02/10/2020 - 11:58am
Scalability
power aware computing
Resiliency
pubcrawl
energy conservation
Metrics
MapReduce
pattern clustering
parallel processing
multiprocessing systems
Hadoop
data handling
Apache Hadoop
approximate computing
Energy-efficiency
energy-efficient solutions
Hadoop clusters
multicore computing platforms
Pi
Pi MapReduce application
tHadoop2
thermal-aware approximate computing
thermal-aware data placement
Thermal-efficiency
multicore computing security
biblio
A Novel Key-Value Based Real-Time Data Management Framework for Ship Integrated Power Cyber-Physical System
Submitted by
grigby1
on Mon, 01/27/2020 - 12:27pm
Big Data
Cyber Physical System
cyber-physical system
cyber-physical systems
data handling
Data models
Data processing
data-driven intelligence
delays
generation ship integrated power system
Human behavior
Human Factors
Integrated Power System
IPS
key-value data model
Key-value Store
marine engineering
Marine vehicles
Metrics
open source in-memory key-value store
power engineering computing
power system management
power systems
pubcrawl
Real-time Data Management
real-time data management prototype system
real-time data processing
real-time systems
relational data management
relational databases
resilience
Resiliency
Scalability
ship Big Data
ship integrated power cyber-physical system
ship integrated power cyber-physics system
ships
storage management
biblio
Context-Aware Data Cleaning for Mobile Wireless Sensor Networks: A Diversified Trust Approach
Submitted by
aekwall
on Mon, 12/09/2019 - 12:23pm
Conferences
Trusted Computing
pubcrawl
composability
wireless sensor networks
Decision Making
Correlation
mobile radio
telecommunication computing
sensors
Compositionality
beta-trust
cleaning
context-aware
data handling
data imprecision
diversified trust portfolio
DTP
financial markets theory
Mobile wireless sensor networks
MWSN
online context-aware data cleaning method
online data cleaning
Portfolios
sensor data accuracy trustworthiness
spatially autocorrelated candidate sensors
Trajectory
trust diversification
Computing Theory and Trust
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