State-of-the-art in artificial neural network applications: A survey

OI Abiodun, A Jantan, AE Omolara, KV Dada… - Heliyon, 2018 - cell.com
This is a survey of neural network applications in the real-world scenario. It provides a
taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of …

Enhancing resilience of urban underground space under floods: Current status and future directions

R He, RLK Tiong, Y Yuan, L Zhang - Tunnelling and Underground Space …, 2024 - Elsevier
Urban underground space (UUS) has become an integral component of modern cities.
However, its vulnerability to inundation results in flood disasters occurring in UUS worldwide …

An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance

S Yousefi, BM Tosarkani - International Journal of Production Economics, 2022 - Elsevier
Nowadays, distributed ledger technologies (eg, blockchain technology) can play significant
roles in improving supply chain management and sustainability. Blockchain technology can …

[HTML][HTML] Multichannel digital marketing optimizations through big data analytics in the tourism and hospitality industry

DP Sakas, DP Reklitis, MC Terzi… - Journal of Theoretical and …, 2022 - mdpi.com
The tourism sector increasingly relies on technology to acquire new clients in a world
overflowing with information. So, the main question that needs to be answered is: What …

On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018

A Charitopoulos, M Rangoussi… - International Journal of …, 2020 - Springer
The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …

A portfolio selection of internet of things (IoTs) applications for the sustainable urban transportation: A novel hybrid multi criteria decision making approach

JH Dahooie, A Mohammadian, AR Qorbani… - Technology in Society, 2023 - Elsevier
The nature of technological innovations is unpredictable, therefore decision making on
disruptive technologies such as the Internet of Things (IoT) in many public sector …

Fuzzy cognitive maps in systems risk analysis: a comprehensive review

E Bakhtavar, M Valipour, S Yousefi, R Sadiq… - Complex & Intelligent …, 2021 - Springer
Fuzzy cognitive maps (FCMs) have been widely applied to analyze complex, causal-based
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …

Time series forecasting using fuzzy cognitive maps: a survey

O Orang, PC de Lima e Silva, FG Guimarães - Artificial Intelligence Review, 2023 - Springer
Among various soft computing approaches for time series forecasting, fuzzy cognitive maps
(FCMs) have shown remarkable results as a tool to model and analyze the dynamics of …

Algorithms for ethical decision-making in the clinic: A proof of concept

LJ Meier, A Hein, K Diepold, A Buyx - The American Journal of …, 2022 - Taylor & Francis
Abstract Machine intelligence already helps medical staff with a number of tasks. Ethical
decision-making, however, has not been handed over to computers. In this proof-of-concept …

Re-evaluation of the healthcare service quality criteria for the Covid-19 pandemic: Z-number fuzzy cognitive map

NEP Babroudi, K Sabri-Laghaie, NG Ghoushchi - Applied Soft Computing, 2021 - Elsevier
Hospitals as healthcare centers have faced many challenges with the Covid-19 spread,
which results in a decline in the quality of health care. Because the number of patients …