[HTML][HTML] Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities

A Rahman, T Debnath, D Kundu, MSI Khan… - AIMS Public …, 2024 - ncbi.nlm.nih.gov
In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …

A fuzzy multi-objective optimization model for sustainable healthcare supply chain network design

A Ala, A Goli, S Mirjalili, V Simic - Applied Soft Computing, 2024 - Elsevier
Healthcare supply chains play a crucial role, which enables the implementation of
optimization strategies that have rapidly emerged as highly effective means for improving …

Archimedes Optimization with Enhanced Deep Learning based Recommendation System for Drug Supply Chain Management

K Rathor, S Chandre, A Thillaivanan… - … and Systems for …, 2023 - ieeexplore.ieee.org
Recently, pharmaceutical corporations are confronting difficulties while tracking their
products in the supply chain process, allowing counterfeiters to include their fake medicines …

Machine learning for sustainable development: leveraging technology for a greener future

M Kagzi, S Khanra, SK Paul - Journal of Systems and Information …, 2023 - emerald.com
Purpose From a technological determinist perspective, machine learning (ML) may
significantly contribute towards sustainable development. The purpose of this study is to …

Artificial intelligence in supply chain decision-making: an environmental, social, and governance triggering and technological inhibiting protocol

X Hao, E Demir - Journal of Modelling in Management, 2023 - emerald.com
Purpose Decision-making, reinforced by artificial intelligence (AI), is predicted to become
potent tool within the domain of supply chain management. Considering the importance of …

GDP responses to supply chain disruptions in a post-pandemic era: Combination of DL and ANN outputs based on Google Trends

U Shahzad, KS Mohammed, N Schneider… - … Forecasting and Social …, 2023 - Elsevier
Abstract With the recent Russian-Ukraine conflict, the frequency and intensity of disruptive
shocks on major supply chains have risen, causing increasing food and energy security …

[HTML][HTML] Consumer engagement through corporate social responsibility communication on social media: Evidence from Facebook and Instagram Bank Accounts

LS Macca, J Ballerini, G Santoro, M Dabić - Journal of business research, 2024 - Elsevier
This paper investigates the impact of corporate social responsibility (CSR) communication
through social media on consumer engagement, focusing on the top 15 European banks' …

Metaverse healthcare supply chain: Conceptual framework and barrier identification

ZS Chen, JQ Ruan - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
In the complex landscape of healthcare supply chains, challenges extend well beyond
internal operational concerns, necessitating innovative solutions that align with the evolving …

To align technological advancement and ethical conduct: an analysis of the relationship between digital technologies and sustainable decision-making processes

T Riso, C Morrone - Sustainability, 2023 - mdpi.com
Digitalization and sustainability is widely investigated; however, only few studies have
analyzed the role of sustainable decision-making processes in the business strategy field for …

Embracing fairness within a cross-efficiency hierarchical network DEA system

S Xiao, MD Kremantzis, LS Kyrgiakos, G Vlontzos… - Operational …, 2024 - Springer
Several scholars have utilized hierarchical network Data Envelopment Analysis modeling
techniques to assess the performance of complex structures. However, there has been …