Benchmarking methodology for selection of optimal COVID-19 diagnostic model based on entropy and TOPSIS methods
MA Mohammed, KH Abdulkareem, AS Al-Waisy… - Ieee …, 2020 - ieeexplore.ieee.org
Nowadays, coronavirus (COVID-19) is getting international attention due it considered as a
life-threatened epidemic disease that hard to control the spread of infection around the …
life-threatened epidemic disease that hard to control the spread of infection around the …
Comprehensive insights into evaluation and benchmarking of real-time skin detectors: Review, open issues & challenges, and recommended solutions
Abstract Evaluation and benchmarking of real-time skin detectors remain challenging
because of multiple evaluation attributes that must be considered. Numerous evaluation and …
because of multiple evaluation attributes that must be considered. Numerous evaluation and …
A novel multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques
The increasing demand for image dehazing-based applications has raised the value of
efficient evaluation and benchmarking for image dehazing algorithms. Several perspectives …
efficient evaluation and benchmarking for image dehazing algorithms. Several perspectives …
[HTML][HTML] Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc …
This paper addresses various issues in the literature concerning adversarial attack detection
in Vehicular Ad-hoc Networks (VANETs). These issues include the failure to consider both …
in Vehicular Ad-hoc Networks (VANETs). These issues include the failure to consider both …
A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria …
Given the rapid development of dehazing image algorithms, selecting the optimal algorithm
based on multiple criteria is crucial in determining the efficiency of an algorithm. However, a …
based on multiple criteria is crucial in determining the efficiency of an algorithm. However, a …
A trustworthy and explainable framework for benchmarking hybrid deep learning models based on chest X-ray analysis in CAD systems
Evaluating the trustworthiness of deep learning-based computer-aided diagnosis (CAD)
systems is challenging. There is a need to optimize trust and performance in model …
systems is challenging. There is a need to optimize trust and performance in model …
Novel technique for reorganisation of opinion order to interval levels for solving several instances representing prioritisation in patients with multiple chronic diseases
Context Telemedicine has been increasingly used in healthcare to provide services to
patients remotely. However, prioritising patients with multiple chronic diseases (MCDs) in …
patients remotely. However, prioritising patients with multiple chronic diseases (MCDs) in …
Development of an integrated tool based on life cycle assessment, Levelized energy, and life cycle cost analysis to choose sustainable Facade Integrated Photovoltaic …
E Hadi, A Heidari - Journal of Cleaner Production, 2021 - Elsevier
Abstract Facade Integrated Photovoltaic Systems (FIPS) is considered the most promising
strategy to utilize solar power in various buildings and enhance its energy efficiency in …
strategy to utilize solar power in various buildings and enhance its energy efficiency in …
An adaptive social-aware device-to-device communication mechanism for wireless networks
Abstract Device-to-Device (D2D) communication is an essential element in 5G networks and
beyond. It enables users to communicate either directly without network assistance or with …
beyond. It enables users to communicate either directly without network assistance or with …
[PDF][PDF] A new methodology for evaluation and benchmarking of skin detector based on ai model using multi criteria analysis
QM Yas - 2018 - ir.upsi.edu.my
This study aims to develop a new multi-criteria decision analysis methodology for skin
detector evaluation and benchmarking based on artificial intelligence models. Two …
detector evaluation and benchmarking based on artificial intelligence models. Two …