[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 …
Android source code vulnerability detection: a systematic literature review
The use of mobile devices is rising daily in this technological era. A continuous and
increasing number of mobile applications are constantly offered on mobile marketplaces to …
increasing number of mobile applications are constantly offered on mobile marketplaces to …
Comparative analysis of Android and iOS from security viewpoint
Smartphone usage has increased exponentially in the recent years. Android and iOS are the
most popular smartphone platforms, while the ease of use along with the computational …
most popular smartphone platforms, while the ease of use along with the computational …
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 …
Multi-biological laboratory examination framework for the prioritization of patients with COVID-19 based on integrated AHP and group VIKOR methods
Coronavirus disease (COVID-19) pandemic has a tremendous effect on people's lives
worldwide, and the number of infected patients increases daily. The healthcare sector is …
worldwide, and the number of infected patients increases daily. The healthcare sector is …
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 …