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[HTML][HTML] Systematic review of smart health monitoring using deep learning and Artificial intelligence
In the rapidly growing world of technology and evolution, the outbreak and emergences
diseases have become a critical issue. Precaution, prevention and controlling the diseases …
diseases have become a critical issue. Precaution, prevention and controlling the diseases …
[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] 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 …
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] 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 …
Federated learning for IoMT applications: A standardization and benchmarking framework of intrusion detection systems
Efficient evaluation for machine learning (ML)-based intrusion detection systems (IDSs) for
federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the …
federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the …
Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure
Remotely monitoring a patient's condition is a serious issue and must be addressed.
Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies …
Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies …
Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications
The benchmarking of smart e‐tourism data management applications falls under the
problem of multicriteria decision‐making (MCDM). This claim is supported by three issues …
problem of multicriteria decision‐making (MCDM). This claim is supported by three issues …