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

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