Results 171 to 180 of about 61,033 (257)
Letter to the Editor: Deep learning-driven multi-hierarchical granularity integration for surgical scene understanding: experimental study. [PDF]
Wang Z, Liu Q, Deng W.
europepmc +1 more source
ABSTRACT The present study seeks to advance the understanding of the determinants of occupational injuries, thereby enhancing both academic knowledge and decision‐making in the management and implementation of occupational health and safety measures.
Rosa María Cañaveras Perea +2 more
wiley +1 more source
Editorial: Localization and scene understanding in urban environments. [PDF]
Ballardini AL +3 more
europepmc +1 more source
Outdoor Scene Understanding Based on Multi-Scale PBA Image Features and Point Cloud Features. [PDF]
Liu Y, Gu Y, Yan F, Zhuang Y.
europepmc +1 more source
Heat Load Mitigation Studies in the W7‐X Stellarator Experiment
ABSTRACT During the experiments at the stellarator Wendelstein 7‐X (W7‐X) with fully water‐cooled plasma‐facing components (PFC), including carbon‐fiber composite (CFC) divertor targets with a thermal load capability of 10 MW/m2, high performance was achieved.
Dirk Naujoks +11 more
wiley +1 more source
TAMC: Textual Alignment and Masked Consistency for Open-Vocabulary 3D Scene Understanding. [PDF]
Wang J +4 more
europepmc +1 more source
Abstract Patient partnership in health education promotes collaborative and humanistic care. In pharmacy education, however, this approach remains uncommon. We aimed to co‐construct and assess a teaching session on pain management and dispensing refusal, involving patients as full partners. A participatory approach was used.
Marc‐Antoine Luc +2 more
wiley +1 more source
Enhancing semantic segmentation for autonomous vehicle scene understanding in indian context using modified CANet model. [PDF]
Khairnar S +9 more
europepmc +1 more source
Applying artificial vision models to human scene understanding. [PDF]
Aminoff EM +6 more
europepmc +1 more source
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh +12 more
wiley +1 more source

