Amanote Research

Amanote Research

    RegisterSign In

An Abnormal Data Detection Method Based on Temporal-Spatial Correlation in WSNs

doi 10.22323/1.264.0070
Full Text
Open PDF
Abstract

Available in full text

Date

February 9, 2016

Authors
Ning Wang
Publisher

Sissa Medialab


Related search

Abnormal Events Detection Based on Spatio-Temporal Co-Occurences

2009English

Abnormal Vessel Behavior Detection Based on AIS Data

Artificial Intelligence and Robotics Research
2015English

A Resilient Data Aggregation Method Based on Spatio-Temporal Correlation for Wireless Sensor Networks

Eurasip Journal on Wireless Communications and Networking
Computer NetworksComputer Science ApplicationsSignal ProcessingCommunications
2018English

Abnormal Traffic Flow Data Detection Based on Wavelet Analysis

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2016English

Detection of Abnormal Oil Data Based on Feature Selection

Revue d'Intelligence Artificielle
Artificial IntelligenceSoftware
2019English

Recognition Method of Abnormal Data Based on Interval Estimation

DEStech Transactions on Engineering and Technology Research
2017English

Correlation Detection and Judgment of Abnormal Individual Behavior Based on Unsupervised Learning

DEStech Transactions on Computer Science and Engineering
2018English

Abnormal Detection of Wind Turbine Based on SCADA Data Mining

Mathematical Problems in Engineering
MathematicsEngineering
2019English

Detection of Abnormal Attributes Based on Corelation Markov Detection Method for Forensic Web

IOSR Journal of Engineering
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy