The prediction of sleep quality using wearable-assisted smart health monitoring systems based on statistical data-Reference-Cited by-同舟云学术

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The prediction of sleep quality using wearable-assisted smart health monitoring systems based on statistical data

Published:2023-12 Issue:9 Volume:35 Page:102927
ISSN:1018-3647
Container-title:Journal of King Saud University - Science
language:en
Short-container-title:Journal of King Saud University - Science

Author:

Zamani Abu Sarwar,Hashim Aisha Hassan Abdalla,Akhtar Md. Mobin,Samdani Faizan,Siddiqui Ahmad Talha,Alluhayb Adel,Hamza Manar Ahmed,Ahmad Naved

Funder

Prince Sattam bin Abdulaziz University

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference39 articles.

1. Stock market prediction based on statistical data using machine learning algorithms;Akhtar;J. King Saud Univ.-Sci.,2022

2. Hyperparameter tuned deep learning enabled cyberbullying classification in social media;Al Duhayyim;Comput. Mater. Contin,2022

3. A deep belief network classification approach for automatic diacritization of arabic text;Almanaseer;Appl. Sci.,2021

4. Analysis of data from wearable sensors for sleep quality estimation and prediction using deep learning;Arora;Arab. J. Sci. Eng.,2020

5. Intervention of wearables and smartphones in real time monitoring of sleep and behavioral health: an assessment using adaptive neuro-fuzzy technique;Arora;Arab. J. Sci. Eng.,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bald Eagle Search Algorithm with Hierarchical Deep Learning for Internet of Things Assisted Sleep Quality Recognition;SN Computer Science;2024-05-18

2. Harmonizing Health: Early Detection of Hormonal Imbalances Through Smart Wearables and Ensemble Deep Learning Models;Information Systems Engineering and Management;2024

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