The application of data envelopment analysis to emergency departments and management of emergency conditions: A narrative review

M Mirmozaffari, N Kamal - Healthcare, 2023 - mdpi.com
The healthcare industry is one application for data envelopment analysis (DEA) that can
have significant benefits for standardizing health service delivery. This narrative review …

Which industrial sectors are affected by artificial intelligence? A bibliometric analysis of trends and Perspectives

L Espina-Romero, JG Noroño Sánchez… - Sustainability, 2023 - mdpi.com
In recent times, artificial intelligence (AI) has been generating a significant impact in various
industry sectors, which implies that companies must be ready to adjust to this promising start …

[HTML][HTML] Design of a distribution network in a multi-product, multi-period green supply chain system under demand uncertainty

A Boskabadi, M Mirmozaffari, R Yazdani… - Sustainable Operations …, 2022 - Elsevier
This paper proposes a novel fuzzy mathematical model for a distribution network design
problem in a multi-product, multi-period, multi-echelon, multi-plant, multi-retailer, multi-mode …

A novel hybrid simulated annealing for no-wait open-shop surgical case scheduling problems

A Rahimi, SM Hejazi, M Zandieh… - Applied System …, 2023 - mdpi.com
In this paper, the problem of finding an assignment of “n” surgeries to be presented in one of
“m” identical operating rooms (ORs) or machines as the surgical case scheduling problem …

Input/output variables selection in data envelopment analysis: A shannon entropy approach

P Peykani, FS Seyed Esmaeili, M Mirmozaffari… - Machine Learning and …, 2022 - mdpi.com
The purpose of this study is to provide an efficient method for the selection of input–output
indicators in the data envelopment analysis (DEA) approach, in order to improve the …

[HTML][HTML] Improving power output wind turbine in micro-grids assisted virtual wind speed prediction

M Ozbak, M Ghazizadeh-Ahsaee, M Ahrari… - Sustainable Operations …, 2024 - Elsevier
Wind energy is an alternative form of energy easily obtainable in the landscape. However,
the main challenge is to extract electrical power from varying wind speeds. Wind energy can …

A hybrid machine learning approach to screen optimal predictors for the classification of primary breast tumors from gene expression microarray data

N Alromema, AH Syed, T Khan - Diagnostics, 2023 - mdpi.com
The high dimensionality and sparsity of the microarray gene expression data make it
challenging to analyze and screen the optimal subset of genes as predictors of breast …

A novel pipeline age evaluation: considering overall condition index and neural network based on measured data

H Noroznia, M Gandomkar, J Nikoukar… - Machine Learning and …, 2023 - mdpi.com
Today, the chemical corrosion of metals is one of the main problems of large productions,
especially in the oil and gas industries. Due to massive downtime connected to corrosion …

Evaluation of sustainable development policy of Sichuan citrus industry in China based on DEA–Malmquist index and did model

Y He, W Chen - Sustainability, 2023 - mdpi.com
The citrus industry is an important fruit industry, with the widest cultivation area and the most
crucial economic status in southern China. Evaluating the sustainable development of citrus …

Healthcare performance analytics based on the novel PDA methodology for assessment of efficiency and perceived quality outcomes: A machine learning approach

V Santamato, C Tricase, N Faccilongo… - Expert Systems with …, 2024 - Elsevier
Efficient resource allocation in healthcare organizations remains a complex challenge,
exacerbated by the intricate data structure and myriad variables involved. While traditional …