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
A novel Z-number based multi-stage assessment framework for problem-based learning in practical courses. [PDF]
Yu L, Chen Z, Qin Z.
europepmc +1 more source
Optimized battery energy management using an improved type-2 fuzzy logic approach. [PDF]
Naoui M +8 more
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
Precision improvement for indoor positioning based on fuzzy inference system with ultra-wideband wireless communications. [PDF]
Lee SH, Chang SW, Huang YF, Sheu YH.
europepmc +1 more source
A Robust Visual Inertial Odometry SLAM Considering Robot Self Dynamics
ABSTRACT In this paper, to deal with the dynamic SLAM problem, we investigate feature tracking and IMU preintegration in visual‐inertial odometry (VIO) and design a robust SLAM framework that explicitly considers robot self‐dynamics. We propose a self‐dynamics and IMU‐aided feature tracker to predict initial optical flow and an iterative refinement ...
Junyin Qiu, Hong Liu, Tianwei Zhang
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A fuzzy ZE-number group decision-making framework using BWM and MABAC for risk assessment in medicinal plant extraction. [PDF]
Gheytasi F +5 more
europepmc +1 more source
ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
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FOR: Point Cloud Outlier Removal Based on Fuzzy Theory and Informativeness and Its Application to 3D Object Detection. [PDF]
Gan L, Yang Z, Liu Y, Wang Y, An X.
europepmc +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract Paleontological data provide information on natural environments prior to human influence, which are useful for tracking changes in ecosystem functioning through time. During the Late Pleistocene, about 10% of terrestrial mammalian species were extinct in South America.
Thayara S. Carrasco +3 more
wiley +1 more source

