Knowledge graph enhanced cross modal generative adversarial network for martial arts motion reconstruction and heritage preservation. [PDF]
Yue X, Zhang L.
europepmc +1 more source
Artificial intelligence (AI) offers transformative potential for paediatric diagnosis and treatment, yet implementation faces unique challenges, including data scarcity, algorithmic bias, and children's developmental physiology. This review examines current applications and charts a path toward transparent, equitable, and trustworthy AI in child health.
Ruisong Wang +3 more
wiley +1 more source
TomoRay cranial: synthesis of cranial CT imaging from biplanar radiographs using a generative adversarial network. [PDF]
Zanier O +9 more
europepmc +1 more source
Advancing a National Dialogue on Disability in Catholic Education
ABSTRACT This qualitative descriptive study examined perspectives from 85 participants at the National Convening on Disability and Catholic Education, a 3‐day gathering of Catholic school leaders, educators, and advocates. Using reflexive thematic analysis of structured roundtable dialogues, the study identified psychological and organizational factors
Michael J. Boyle
wiley +1 more source
Clinical Application of Using Diffusion-Based Wasserstein Generative Adversarial Network for Morphologic Analysis of Blood Cells. [PDF]
Kim HY +8 more
europepmc +1 more source
Statistical post‐processing of operational dual‐resolution wind‐speed ensemble forecasts
The performance of raw and post‐processed 50‐member medium‐ and 100‐member extended‐range 10‐m wind‐speed forecasts of the European Centre for Medium‐Range Weather Forecasts and their various dual‐resolution combinations is investigated. Results show that post‐processing improves skill and reduces the differences between the various configurations ...
Sándor Baran, Mária Lakatos
wiley +1 more source
Correction: Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity. [PDF]
Arockia Selvarathinam ALXR +4 more
europepmc +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño +6 more
wiley +1 more source
A Multi-Property Optimizing Generative Adversarial Network for de novo Antimicrobial Peptide Design. [PDF]
Liu J +16 more
europepmc +1 more source
Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method
ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang +3 more
wiley +1 more source

