HIGHLIGHTS
- who: Yasar Majib from the Cardiff University, Cardiff, UK have published the article: Detecting anomalies within smart buildings using do-it-yourself internet of things, in the Journal: (JOURNAL) of July/24,/2020
- what: In the models proposed by Araya et_al , overlapping sliding windows and ensemble anomaly detection were used to identify anomalies.
- how: This paper discussed the various mechanisms to detect anomalies as soon as they occur. The authors evaluated the models based on computational time vs the number of detected anomalies. Later in this paper the authors will evaluate ML models . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.