[HTML][HTML] Application of group decision making in shipping industry 4.0: bibliometric analysis, trends, and future directions
With the development of Internet technologies, the shipping industry has also entered the
Industry 4.0 era, which is the era of using information technology to promote industrial …
Industry 4.0 era, which is the era of using information technology to promote industrial …
Innovative hybridization of the two-archive and PROMETHEE-II triple-objective and multi-criterion decision making for optimum configuration of the hybrid renewable …
Photovoltaic (PV) and Wind turbine (WT) systems are the most promising options for rural
energy delivery. In the literature, numerous studies have simply considered only on …
energy delivery. In the literature, numerous studies have simply considered only on …
[HTML][HTML] A bibliometric analysis of technology in sustainable healthcare: Emerging trends and future directions
Technology application in healthcare is a recent field devoted to sustainability in the
healthcare industry. However, research in this sector has grown at a rapid pace. While this …
healthcare industry. However, research in this sector has grown at a rapid pace. While this …
[HTML][HTML] A Bibliometrics Analysis of Medical Internet of Things for Modern Healthcare
The integration of the Internet of Things (IoT) in healthcare has been a popular topic in
recent years. This article provides a comprehensive review of the medical IoT for healthcare …
recent years. This article provides a comprehensive review of the medical IoT for healthcare …
Multi-objective optimization and multi-criteria decision making aided by numerical method: Framework and a case study of Malaysia and South Africa
This paper presents a new optimum design for an off-grid hybrid solar photovoltaic (PV),
wind turbine (WT), and battery storage system for power isolated dwellings in Malaysia and …
wind turbine (WT), and battery storage system for power isolated dwellings in Malaysia and …
A novel hybrid GIS‐based multi‐criteria decision‐making approach for flood susceptibility analysis in large ungauged watersheds
R Sahraei, Y Kanani‐Sadat… - Journal of Flood Risk …, 2023 - Wiley Online Library
Characterizing and identification of flood‐susceptible areas can be a solution to mitigate the
damages and fatality rate. This study proposes a novel hybrid MCDM framework to assess …
damages and fatality rate. This study proposes a novel hybrid MCDM framework to assess …
Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system
The major obstacle in designing of the wind turbine/photovoltaic/battery storage system lies
in the task of choosing the most optimum solution while simultaneously considering techno …
in the task of choosing the most optimum solution while simultaneously considering techno …
[HTML][HTML] Hesitant picture fuzzy linguistic prospects theory-based evidential reasoning assessment method for digital transformation solution of small and medium-sized …
X Wu, L Yang - Complex & Intelligent Systems, 2024 - Springer
Due to the barriers of finance, talent, and technology, small and medium-sized enterprises
(SMEs) have faced uncertainty and risks if they fail to engage in digital transformation (DT) …
(SMEs) have faced uncertainty and risks if they fail to engage in digital transformation (DT) …
Artificial intelligence and machine learning in healthcare sector
Summary Artificial Intelligence (AI) and Machine learning (ML) are the emerging areas that
have a major potential to boost the healthcare services. AI/ML modalities have been …
have a major potential to boost the healthcare services. AI/ML modalities have been …
Leveraging explainable artificial intelligence in understanding public transportation usage rates for sustainable development
Public transportation usage prediction is valuable for the sustainable development of
transportation systems, particularly in crowded megacities. Machine learning technologies …
transportation systems, particularly in crowded megacities. Machine learning technologies …