Anomaly Detection in BACnet systems
As the fall semester comes to a close, we were tasked with writing our progress report for the ECEN 403 course. This report will explain on how we aim to tune our algorithm to detect anomalies from BACnet data. We also discuss the type of machine learning techniques we plan to use that can be found on Chapter 4 in the report. The report can be found under the documentation tab.
This is it, the very last article to submit for grading. The report contains the very detailed system decomposition of our model, all the processes and procedures we followed, and some math. You can f
The word Machine Learning, Artificial Intelligence added to a project always captures everyone's attention. Abbreviations like ML, DL, AI seem to captivate people into believing that most of human's w
As much as I dislike the word 'final', it is true that the semester, and as such us three's undergraduate years are coming to a close. This is the final presentation we made for our ECEN 404 class, an