IoT for smart cities: Machine learning approaches in smart healthcare—A review

TM Ghazal, MK Hasan, MT Alshurideh, HM Alzoubi… - Future Internet, 2021 - mdpi.com
Smart city is a collective term for technologies and concepts that are directed toward making
cities efficient, technologically more advanced, greener and more socially inclusive. These …

Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review

A Heidari, NJ Navimipour, M Unal - Sustainable Cities and Society, 2022 - Elsevier
The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …

[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications

M Javaid, A Haleem, RP Singh, R Suman… - International Journal of …, 2022 - Elsevier
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

Digital health for aging populations

C Chen, S Ding, J Wang - Nature medicine, 2023 - nature.com
Growing life expectancy poses important societal challenges, placing an increasing burden
on ever more strained health systems. Digital technologies offer tremendous potential for …

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

A Rahman, MS Hossain, G Muhammad, D Kundu… - Cluster computing, 2023 - Springer
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …

Adventures in data analysis: A systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems

Z Amiri, A Heidari, NJ Navimipour, M Unal… - Multimedia Tools and …, 2024 - Springer
Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …

Medical image-based detection of COVID-19 using Deep Convolution Neural Networks

L Gaur, U Bhatia, NZ Jhanjhi, G Muhammad… - Multimedia …, 2023 - Springer
The demand for automatic detection of Novel Coronavirus or COVID-19 is increasing across
the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of …

IoT-based smart health monitoring system for COVID-19

V Bhardwaj, R Joshi, AM Gaur - SN Computer Science, 2022 - Springer
With the commencement of the COVID-19 pandemic, social distancing and quarantine are
becoming essential practices in the world. IoT health monitoring systems prevent frequent …

At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives

A Bourechak, O Zedadra, MN Kouahla, A Guerrieri… - Sensors, 2023 - mdpi.com
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …

Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review

HF Ahmad, W Rafique, RU Rasool, A Alhumam… - Computer Science …, 2023 - Elsevier
In recent years, the healthcare industry has faced new challenges around staffing, human
interaction, and the adoption of telehealth. Technological innovations can improve …