MAKHLOUF, Khadidja (2021) Monitoring System Development To Non-Invasively Forecast Future Body Temperature. Doctoral thesis, Université de mohamed kheider biskra.
![[img]](http://thesis.univ-biskra.dz/style/images/fileicons/text.png) |
Text
Makhlouf-Thesis.pdf Download (6MB) |
Abstract
Arti�cial Intelligence has lately begun to be used into medicine to improve patient care by speeding up processes and increasing accuracy, paving the way for improved healthcare in general. On the other hand, temperature is an important health factor that has to be regularly monitored, and even early detected in some situations. Therefore, this project aims to invest the advances of AI to develop a monitoring system that early detects body temperature. The used technique relies on building a wearable device using a temperature sensor and a microcontroller with WiFi card integrated. Thus, the internet of things technology is mandatory to bene�ciate from cloud storage and display the forecasted results on a reactive web application using the forecasting technique to get early body temperature values.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | Key words: Body temperature forecasting, Arti�cial Intelligence, Machine Learning, Internet of Things, Forecasting methods, Microcontroller, Temperature sensor. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Depositing User: | BFSE |
| Date Deposited: | 30 Sep 2021 09:18 |
| Last Modified: | 30 Sep 2021 09:18 |
| URI: | http://thesis.univ-biskra.dz/id/eprint/5515 |
Actions (login required)
 |
View Item |
