Internet of medical things and healthcare 4.0: Trends, requirements, challenges, and research directions
Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It
provides approaches to achieving precision medicine that delivers healthcare services …
provides approaches to achieving precision medicine that delivers healthcare services …
Privacy preservation of electronic health records in the modern era: A systematic survey
Building a secure and privacy-preserving health data sharing framework is a topic of great
interest in the healthcare sector, but its success is subject to ensuring the privacy of user …
interest in the healthcare sector, but its success is subject to ensuring the privacy of user …
[HTML][HTML] Evaluation of agriculture-food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets based decision making model
The benchmarking of agri-food 4.0 supply chain (Agri4SC) falls under the multiple criteria
problem in supply chain visibility (SCV) and supply chain resource integration (SCRI) for …
problem in supply chain visibility (SCV) and supply chain resource integration (SCRI) for …
[HTML][HTML] A comparative study of evaluating and benchmarking sign language recognition system-based wearable sensory devices using a single fuzzy set
Recent research has focused on developing real-time sign language recognition systems
(SLRSs) based on gesture recognition to classify hand motions into their equivalent …
(SLRSs) based on gesture recognition to classify hand motions into their equivalent …
Performance assessment of sustainable transportation in the shipping industry using a q-rung orthopair fuzzy rough sets-based decision making methodology
This paper proposes a novel ship energy systems (SESs) benchmarking model for
performance measurement of sustainable transportation based on the extension of q-rung …
performance measurement of sustainable transportation based on the extension of q-rung …
[HTML][HTML] Developing sustainable management strategies in construction and demolition wastes using a q-rung orthopair probabilistic hesitant fuzzy set-based decision …
Sustainable management of construction and demolition wastes (CDWs) has become a
pressing global issue in social, environmental and economic contexts, and it involves …
pressing global issue in social, environmental and economic contexts, and it involves …
A novel fuel supply system modelling approach for electric vehicles under Pythagorean probabilistic hesitant fuzzy sets
Various companies have developed electric vehicle (EV)-based multiple fuel supply system
modeling approaches (FSSMAs). Nonetheless, no superior approach concurrently satisfies …
modeling approaches (FSSMAs). Nonetheless, no superior approach concurrently satisfies …
Three-way decision-based conditional probabilities by opinion scores and Bayesian rules in circular-Pythagorean fuzzy sets for developing sustainable smart living …
Sustainable smart living (SSL) is a crucial component in the emergence of smart cities.
These cities offer potential solutions to address pressing urban challenges, including traffic …
These cities offer potential solutions to address pressing urban challenges, including traffic …
Developing deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy
This study presents a novel dynamic localisation-based decision (DLBD) with fuzzy
weighting with zero inconsistency (FWZIC) under a probabilistic single-valued neutrosophic …
weighting with zero inconsistency (FWZIC) under a probabilistic single-valued neutrosophic …
Uncertainty decision modeling approach for control engineering tools to support industrial cyber-physical metaverse smart manufacturing systems
The uncertainty decision modeling of control engineering tools to support industrial cyber-
physical metaverse smart manufacturing systems (ICPMSMSs) falls under the multicriteria …
physical metaverse smart manufacturing systems (ICPMSMSs) falls under the multicriteria …