An IoT-based ambient assisted living for elderly care and monitoring in COVID-19 pandemic using arti cial intelligence and deep learning

An IoT-based ambient assisted living for elderly care and monitoring in COVID-19 pandemic using arti cial intelligence and deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografische gegevens
Hoofdauteurs: Bhowmick, Shovon, Ferdous, Tarik, Momtaz, Raihan
Andere auteurs: Alam, Md. Golam Rabiul
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2021
Onderwerpen:
COVID-19
Deep Learning
Arti cial Intelligence
Sensor
Linear Regression Analysis
Hidden Markov Model
XGBoost
Raspberry Pi
ESP32
SVM
COVID-19 (Disease)
Online toegang:http://hdl.handle.net/10361/15024

Internet

http://hdl.handle.net/10361/15024

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