Maximizing the Economic, Environmental, and Social Impact of the Metaverse
ABSTRACT The metaverse is a transformative digital ecosystem with the potential to redefine economic, environmental, and social systems. This qualitative study examines how the metaverse and its enabling technologies—such as AR/VR, blockchain, and AI—might evolve to influence sustainability. Drawing on semi‐structured interviews with global experts and
Alessandro Lanteri +2 more
wiley +1 more source
Agri-food supply chain resilience: An exploration of influencing factors based on fuzzy-DEMATEL-ISM analysis. [PDF]
Zhang M, Yang J.
europepmc +1 more source
Ranking of fuzzy numbers based on centroid point and spread [PDF]
Abu Bakar, Ahmad Syafadhli +1 more
core +2 more sources
Energy-efficient scheduling of AGV-assisted robotic flexible flowshops under learning and processing time uncertainty. [PDF]
Dehnavi S, Mokhtari H, Rezvan MT.
europepmc +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
Fuzzy-fractional modeling of cholera disease using real outbreak data of angola in caputo-TFN framework. [PDF]
Fatima Q +5 more
europepmc +1 more source
Multi‐Scale Transformer for Image Restoration
ABSTRACT Although Transformer‐based image restoration methods have demonstrated impressive performance, existing Transformers still insufficiently exploit multiscale information. Previous non‐Transformer‐based studies have shown that incorporating multiscale features is crucial for improving restoration results.
Wuzhen Shi +6 more
wiley +1 more source
A hybrid computational framework for fractional cancer diffusion models in uncertain settings. [PDF]
Qayyum M +4 more
europepmc +1 more source
ABSTRACT To address the limitations of traditional transformer health index (HI), such as high dependence on data integrity and inability to assist in diagnosing latent faults, this study proposes an HI prediction method based on dynamic Bayesian network (DBN).
Shuaibing Li +3 more
wiley +1 more source
Validation of a personalized AI prompt generator (NExGEN-ChatGPT) for obesity management using fuzzy Delphi method. [PDF]
Suraya Mohd Dan A +7 more
europepmc +1 more source

