Skip to main navigation
Skip to search
Skip to main content
Universidad Adolfo Ibáñez Home
English
Español
Home
Profiles
Research units
Projects
Research output
Press/Media
Search by expertise, name or affiliation
A method for real-time error detection in low-cost environmental sensors data
Mauricio Loyola
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A method for real-time error detection in low-cost environmental sensors data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
INIS
data
100%
detection
100%
sensors
100%
errors
100%
cost
100%
algorithms
33%
density
16%
applications
16%
accuracy
16%
learning
16%
values
16%
evaluation
16%
monitoring
16%
distance
16%
design
16%
humidity
16%
precision
16%
constraints
16%
automation
16%
microprocessors
16%
Computer Science
Collected Data
100%
Measurement Error
100%
Error Detection
100%
Effective Method
50%
Open Source
50%
Learning Technique
50%
Detection Algorithm
50%
Unsupervised Learning
50%
Comparing Data
50%
Computer Hardware
50%
Engineering
Error Detection
100%
Environmental Sensor
100%
Sensor Data
100%
Measurement Error
66%
Collected Data
66%
Learning Technique
33%
Additional Cost
33%
Anomaly Detection
33%
Microprocessor Chips
33%
Detection Algorithm
33%
Keyphrases
Real-Time Error Detection
100%
Automated Applications
50%
Anomaly Detection System
50%
Comparing Data
50%
Earth and Planetary Sciences
Real Time
100%