[PDF][PDF] Detection techniques of data anomalies in IoT: A literature survey

D ElMenshawy, W Helmy - International Journal of Civil Engineering …, 2018 - academia.edu
ABSTRACT Internet of Things (IoT) is a new paradigm that has gained popularity few years
ago. IoT refers to the networking of physical objects which contain sensors and software that …

A bio-inspired clustering model for anomaly detection in the mining industry

R Chiong, Z Hu, Z Fan, Y Lin, S Chalup… - Bio-Inspired Computing …, 2019 - World Scientific
Being able to detect anomalies for predicting machine breakdown is of critical importance in
the mining industry. These anomalies are usually found in unlabelled sensor data, and …

A fleet-wide approach for condition monitoring of similar machines using time-series clustering

K Hendrickx, W Meert, B Cornelis, K Janssens… - … on Condition Monitoring …, 2018 - Springer
The application of machine learning to fault diagnosis allows automated condition
monitoring of machines, leading to reduced maintenance costs and increased machine …

in the Mining Industry

R Chiong, Z Hut, Z Fan - Bio-inspired Computing Models And …, 2019 - books.google.com
The mining industry is highly reliant on sensors to monitor their mining equipment. With the
help of sensors, the behaviour and operational profile of mining machines are monitored to …

Query Processing on Spatio-Temporal Data Streams from Moving Objects

TL Brandt - 2019 - oops.uni-oldenburg.de
The amount of spatio-temporal data, ie location data from moving objects, that is available in
real time is increasing continuously due to the expanding availability of small and cheap …