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[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 …
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
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 …
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
The application of machine learning to fault diagnosis allows automated condition
monitoring of machines, leading to reduced maintenance costs and increased machine …
monitoring of machines, leading to reduced maintenance costs and increased machine …
in the Mining Industry
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 …
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 …
real time is increasing continuously due to the expanding availability of small and cheap …