[HTML][HTML] A survey of multimodal information fusion for smart healthcare: Map** the journey from data to wisdom
Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …
healthcare, enabling a comprehensive understanding of patient health and personalized …
[HTML][HTML] Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking …
This study presents a systematic review of artificial intelligence (AI) techniques used in the
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …
A systematic review for enabling of develop a blockchain technology in healthcare application: taxonomy, substantially analysis, motivations, challenges …
Blockchain in healthcare applications requires robust security and privacy mechanism for
high-level authentication, interoperability and medical records sharing to comply with the …
high-level authentication, interoperability and medical records sharing to comply with the …
Review of healthcare industry 4.0 application-based blockchain in terms of security and privacy development attributes: Comprehensive taxonomy, open issues and …
This paper has been contributed on the basis of three main goals, namely, to identify the
research gaps, challenges and open issues in the academic literature related to the …
research gaps, challenges and open issues in the academic literature related to the …
[HTML][HTML] Novel dynamic fuzzy decision-making framework for COVID-19 vaccine dose recipients
Introduction The vaccine distribution for the COVID-19 is a multicriteria decision-making
(MCDM) problem based on three issues, namely, identification of different distribution …
(MCDM) problem based on three issues, namely, identification of different distribution …
Deep learning-based IoT system for remote monitoring and early detection of health issues in real-time
With an aging population and increased chronic diseases, remote health monitoring has
become critical to improving patient care and reducing healthcare costs. The Internet of …
become critical to improving patient care and reducing healthcare costs. The Internet of …
Based on the multi-assessment model: towards a new context of combining the artificial neural network and structural equation modelling: a review
Theoretical models have become increasingly complex, but the dual-phase structural
equation modelling (SEM) and artificial neural network analysis can be used by scholars to …
equation modelling (SEM) and artificial neural network analysis can be used by scholars to …
Determining importance of many-objective optimisation competitive algorithms evaluation criteria based on a novel fuzzy-weighted zero-inconsistency method
Along with the developments of numerous MaOO algorithms in the last decades, comparing
the performance of MaOO algorithms with one another is also highly needed. Many studies …
the performance of MaOO algorithms with one another is also highly needed. Many studies …
[HTML][HTML] Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients
The problem complexity of multi-criteria decision-making (MCDM) has been raised in the
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: a distribution case study of …
Owing to the limitations of Pythagorean fuzzy and intuitionistic fuzzy sets, scientists have
developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q …
developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q …