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.

Bibliografiset tiedot
Päätekijät: Bhowmick, Shovon, Ferdous, Tarik, Momtaz, Raihan
Muut tekijät: Alam, Md. Golam Rabiul
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2021
Aiheet:
COVID-19
Deep Learning
Arti cial Intelligence
Sensor
Linear Regression Analysis
Hidden Markov Model
XGBoost
Raspberry Pi
ESP32
SVM
COVID-19 (Disease)
Linkit:http://hdl.handle.net/10361/15024

Internet

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

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