Results 231 to 240 of about 753,913 (307)
Reflective analysis on empirical theories in consciousness. [PDF]
Pae H.
europepmc +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Peer Support Workers in Mental Health Care: Plural Positionings Beyond Transformation and Assimilation Dichotomy. [PDF]
Aquili L +6 more
europepmc +1 more source
An early assessment of subjective well-being in an undergraduate by using heterogeneous stacked ensemble [PDF]
Devesh Upadhyay +2 more
openalex +1 more source
A loss‐based ensemble generative adversarial network (GAN) framework is proposed to address mode collapse in sperm morphology classification. By integrating spatial augmentation and multiple GAN models, the study enhances synthetic data quality. The Shifted Window Transformer achieves 95.37% accuracy on the HuSHeM dataset, outperforming previous ...
Berke Cansiz +2 more
wiley +1 more source
Tripartite interaction among teachers, parents and young children in Chinese parent-child program. [PDF]
Kang J, Bakar KA, Mohamed S.
europepmc +1 more source
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source
Comment on "A Comparison of Artificial Intelligence Platforms in the Utility of Answering Frequently Asked Questions About Carpal Tunnel Syndrome". [PDF]
Kleebayoon A, Wiwanitkit V.
europepmc +1 more source
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen +4 more
wiley +1 more source

