Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning. [PDF]
Murray D +6 more
europepmc +1 more source
ABSTRACT Digital transformation (DT) is increasingly recognised as essential for improving environmental performance in process‐intensive and hazardous sectors; however, the mechanisms by which digitalisation translates into green operational performance (GOP) and environmental accountability remain insufficiently investigated, particularly in ...
Amila Kasun Sampath Udage Kankanamge +2 more
wiley +1 more source
Automatic segmentation and landmark detection of 3D CBCT images using semi supervised learning for assisting orthognathic surgery planning. [PDF]
Tang H +5 more
europepmc +1 more source
ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui +1 more
wiley +1 more source
Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation. [PDF]
Duarte KTN +9 more
europepmc +1 more source
Supporting the Shift: Professional Development for Alternative Grading Practices
ABSTRACT Alternative grading (e.g., contract grading, ungrading, specifications grading) practices have emerged as a promising approach to enhance student success, improve students’ sense of belonging, and make higher education more accessible. This study explores the challenges faced by community college faculty when implementing alternative grading ...
Breana Bayraktar, J. Indigo Eriksen
wiley +1 more source
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms. [PDF]
Blau A +6 more
europepmc +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion Detection. [PDF]
Lee Y +7 more
europepmc +1 more source
ABSTRACT This study investigates the challenges and support needs of small and medium‐sized enterprises (SMEs) in adopting standardized sustainability reporting, taking the European Sustainability Reporting Standards (ESRS) as an empirical case of formal standardization.
Filippo Cavaliere +2 more
wiley +1 more source

