A feature-adaptive fusion hybrid quantum–classical neural network achieves competitive accuracy in biomedical image classification benchmarks and higher aggregate mean accuracy ...
A proteomic and functional study reveals that down-regulation of NCK1 impairs placental cytotrophoblast fusion in early-onset preeclampsia via an EIF3D ...
Researchers have developed an interpretable deep learning framework combining feature gating and autoencoders to assess corporate debt maturity risk across ...
Researchers developed a parametric fusion modeling framework to mathematically reconstruct the destroyed Ming-dynasty spiral-caisson ceiling of Kaifu Temple using a ...
Bounded aggregation through a shrink-and-reject framework reduces flood relief dispatch regret by 117 to 337 passenger-equivalents across 100 paired synthetic ...
A three-year evaluation of deep learning models across ten solar facilities in Oman demonstrates that temporal fusion transformers trained on ...
A meta-analysis of 16 preclinical studies found that interventions for acquired muscle atrophy significantly improved grip strength and fiber size ...
A systematic review finds that only 47 human studies address fusion between mesenchymal stem/stromal cells and tissue-specific cells, suggesting regenerative ...
A UK Biobank study of 47,537 people identified 213 plasma proteins linked to rheumatoid arthritis onset and built a deep ...
A new probabilistic pose estimation framework combining multi-scale Vision Transformer feature fusion with adaptive uncertainty modeling improves accuracy on occluded ...
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