Results 151 to 160 of about 338,614 (301)
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
A Semi-supervised Learning-Based Method for Correcting Translation Accuracy of Literature Works [PDF]
Hongzhu Jiang
openalex +1 more source
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions [PDF]
Jun Wang +7 more
openalex +1 more source
Dual‐Scale Transformer Fusion With Meta Learning for Micro Metastasis Detection in Thyroid Cancer
A dual‐scale transformer model enhanced by meta‐learning enables accurate detection of tiny metastatic lesions in thyroid cancer. By combining cellular and tissue‐level features, the method outperforms existing models and shows strong adaptability to rare cases with limited data.
Jingtao Wang +5 more
wiley +1 more source
Abstract Black women face a myriad of challenges that heighten their susceptibility to sexually transmitted infections (STIs), resulting in a disproportionate impact of STIs among this population. Yet, there is a lack of research that explores how women navigate these diagnoses with resilience.
Jaleah D. Rutledge +3 more
wiley +1 more source
Two neuroanatomical subtypes of males with autism spectrum disorder revealed using semi-supervised machine learning [PDF]
Guanlu Liu +3 more
openalex +1 more source
Abstract Research‐Practice Partnerships seek to close the research‐practice gap through developing collaborative, authentic partnerships between researchers and community members. Our team has leveraged Research‐Practice Ambassadors to support socially just and equitable partnership processes in schools.
Danielle R. Hatchimonji +8 more
wiley +1 more source
ABSTRACT To evaluate the prevalence of psychiatric signs and symptoms and describe psychotherapeutic and psychopharmacological interventions among children with osteogenesis imperfecta (OI). PRISMA guidelines were followed, and the study was registered in PROSPERO (CRD42024588284). Studies (n = 1419) were identified across five databases.
Julia M. Morales +13 more
wiley +1 more source

