A segmentation network for enhancing autonomous driving scene understanding using skip connection and adaptive weighting. [PDF]
Li J +5 more
europepmc +1 more source
Minimal virtual reality‐induced symptoms and effects in anatomy education across controller types
Abstract With the increasing adoption of virtual reality (VR) in anatomy education, understanding VR‐induced symptoms and effects (VRISE) is pivotal to effective curriculum design. To compare self‐reported VRISE across different VR controller types, the study included 199 responses from students aged 18–54, enrolled in visceral anatomy or neuroanatomy ...
Sharmeen Adnan +2 more
wiley +1 more source
Deep learning-driven multi-hierarchical granularity integration for surgical scene understanding: experimental study. [PDF]
Chu G +15 more
europepmc +1 more source
Learning beyond the lab: A gamified approach to anatomy education in a museum‐based experience
Abstract Anatomy education, traditionally rooted in descriptive instruction and cadaveric dissection, is undergoing a significant transformation through the integration of educational technologies and contemporary pedagogical strategies. Among these, active learning methodologies, such as gamified‐based learning, have emerged as approaches designed to ...
Wendell Nunes da Silva +3 more
wiley +1 more source
FireMM-IR: An Infrared-Enhanced Multi-Modal Large Language Model for Comprehensive Scene Understanding in Remote Sensing Forest Fire Monitoring. [PDF]
Cao J, Liu X, Xue R.
europepmc +1 more source
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million +3 more
wiley +1 more source
MAPE-ViT: multimodal scene understanding with novel wavelet-augmented Vision Transformer. [PDF]
Ahmed MW +6 more
europepmc +1 more source
ABSTRACT Cognitive tests that reflect the complexity of real‐world social interactions are essential for autism spectrum disorder (ASD)‐related clinical assessment and research. This study developed and adapted a Japanese version of the Reading the Mind in Films (RMF) test, which assesses mind‐reading ability through dynamic, multisensory, and context ...
Sayaka Kawakami +3 more
wiley +1 more source
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

