Results 121 to 130 of about 128,746 (262)
ABSTRACT Amid growing resource pressures, environmental regulation plays a critical role in enabling the transition to a circular economy (CE). This study conducts a systematic literature review to synthesize how different regulatory approaches—command‐and‐control, market‐based, voluntary, and reflexive—affect CE transitions across economic and ...
Li Yuan
wiley +1 more source
Mutual information maximizing quantum generative adversarial networks. [PDF]
Lee M, Shin M, Lee J, Jeong K.
europepmc +1 more source
Unsupervised MRI Reconstruction with Generative Adversarial Networks [PDF]
Elizabeth K. Cole +3 more
openalex +1 more source
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches
ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain +3 more
wiley +1 more source
Research on Augmentation of Wood Microscopic Image Dataset Based on Generative Adversarial Networks. [PDF]
Xu S, Su H, Zhao L.
europepmc +1 more source
Influence Estimation for Generative Adversarial Networks [PDF]
Naoyuki Terashita +3 more
openalex
ABSTRACT This case study presents a project in which peacebuilding dialogue methodologies were adapted for use in municipal‐level dialogue sessions that took place in Calgary, Canada in late 2022 and early 2023. The authors found that using this approach built trust among cross‐sectoral participants and facilitators, resulted in greater diversity ...
Aleem Bharwani, Josh Nadeau
wiley +1 more source
Correction: Enhancing buckwheat maturity classification with generative adversarial networks for spectroscopy data augmentation. [PDF]
Wang H +7 more
europepmc +1 more source
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi +4 more
wiley +1 more source

