A survey of explainable artificial intelligence for smart cities
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 …
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
Emerging digital technologies continues to evolve posing unprecedented opportunities in
health systems globally to improve healthcare services delivery. There has been significant …
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
Recently, innovations in the Internet of Medical Things (IoMT), information and
communication technologies, and machine learning (ML) have enabled smart healthcare …
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
Blockchain and machine learning (ML) has garnered growing interest as cutting-edge
technologies that have witnessed tremendous strides in their respective domains …
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 …
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
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 …
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
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 …
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 …
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
Nowadays, the concept of smart sustainable governance is wrapped around basic principles
such as:(i) transparency,(ii) accountability,(iii) stakeholders' involvement, and iv) citizens' …
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 …
and content analysis of digital twins in healthcare to know the evolution, domain, keywords …