A survey of explainable artificial intelligence for smart cities

AR Javed, W Ahmed, S Pandya, PKR Maddikunta… - Electronics, 2023 - mdpi.com
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …

[HTML][HTML] Sensors and healthcare 5.0: transformative shift in virtual care through emerging digital health technologies

E Mbunge, B Muchemwa, J Batani - Global Health Journal, 2021 - Elsevier
Emerging digital technologies continues to evolve posing unprecedented opportunities in
health systems globally to improve healthcare services delivery. There has been significant …

Blockchain meets federated learning in healthcare: A systematic review with challenges and opportunities

R Myrzashova, SH Alsamhi… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Recently, innovations in the Internet of Medical Things (IoMT), information and
communication technologies, and machine learning (ML) have enabled smart healthcare …

Unleashing the potential of blockchain and machine learning: Insights and emerging trends from bibliometric analysis

N El Akrami, M Hanine, ES Flores, DG Aray… - IEEE Access, 2023 - ieeexplore.ieee.org
Blockchain and machine learning (ML) has garnered growing interest as cutting-edge
technologies that have witnessed tremendous strides in their respective domains …

Detection of COVID-19 using deep learning techniques and classification methods

Ç Oğuz, M Yağanoğlu - Information Processing & Management, 2022 - Elsevier
Since the patient is not quarantined during the conclusion of the Polymerase Chain
Reaction (PCR) test used in the diagnosis of COVID-19, the disease continues to spread. In …

COVID-19 health data analysis and personal data preserving: A homomorphic privacy enforcement approach

C Dhasarathan, MK Hasan, S Islam, S Abdullah… - Computer …, 2023 - Elsevier
COVID-19 data analysis and prediction from patient data repository collected from hospitals
and health organizations. Users' credentials and personal information are at risk; it could be …

Harnessing predictive power: exploring the crucial role of machine learning in early disease detection

S Rasool, A Husnain, A Saeed, AY Gill… - … : Jurnal Inovasi dan …, 2023 - jurnalmahasiswa.com
The incorporation of machine learning into healthcare has transformed the landscape of
disease detection, allowing for a paradigm shift from reactive to proactive approaches. This …

A novel edge-computing-based framework for an intelligent smart healthcare system in smart cities

SS Tripathy, AL Imoize, M Rath, N Tripathy, S Bebortta… - Sustainability, 2022 - mdpi.com
The wide use of internet-enabled devices has not left the healthcare sector untouched. The
health status of each individual is being monitored irrespective of his/her medical conditions …

Management of smart and sustainable cities in the post-COVID-19 era: Lessons and implications

W Strielkowski, S Zenchenko, A Tarasova… - Sustainability, 2022 - mdpi.com
Nowadays, the concept of smart sustainable governance is wrapped around basic principles
such as:(i) transparency,(ii) accountability,(iii) stakeholders' involvement, and iv) citizens' …

Literature review of digital twin in healthcare

TM Machado, FT Berssaneti - Heliyon, 2023 - cell.com
This article aims to make a bibliometric literature review using systematic scientific map**
and content analysis of digital twins in healthcare to know the evolution, domain, keywords …