Recursive approximation of complex behaviours with IoT-data imperfections
This paper presents an approach to recursively estimate the simplest linear model that approximates the time-varying local behaviors from imperfect (noisy and incomplete) measurements in the internet of things (IoT) based distributed decision-making problems. We first show that the problem of findin...
Saved in:
Main Authors: | Bekiroglu, Korkut, Srinivasan, Seshadhri, Png, Ethan, Su, Rong, Lagoa, Constantino |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/145763 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
An internet of things upgrade for smart and scalable heating, ventilation and air-conditioning control in commercial buildings
by: Png, Ethan, et al.
Published: (2021) -
Predictive analytics of crude oil prices by utilizing the intelligent model search engine
by: Bekiroglu, Korkut, et al.
Published: (2020) -
System identification algorithm for non-uniformly sampled data
by: Bekiroglu, Korkut, et al.
Published: (2018) -
Edge processing in IoT using approximate and in-memory computing
by: Bose, Sumon Kumar
Published: (2021) -
Media transfer with dynamic bandwidth adjustment in IoT-based home networks
by: Chin Lin Hu, et al.
Published: (2020)