Neural Network Tuning Reveals Which Cooling Metrics Rule High-Density Data Centers
A sensitivity analysis using MLP and RBF neural networks on synthetic cooling data finds that temperature difference, airflow, and mass ...
A sensitivity analysis using MLP and RBF neural networks on synthetic cooling data finds that temperature difference, airflow, and mass ...
A new study finds that rumour stance classification models trained on RumourEval data degrade considerably on a new Irish rumour ...
A study of military training interviews found that machine learning models trained on synthetic deception data collapsed on real-world speech, ...
A simulation study published in Discover Computing reports that a hybrid framework combining a sorting-inspired data prioritization score with neural ...
A systematic review of 75 studies finds generative AI advancing renewable energy globally, but almost no African field validation exists ...
A physics-informed generative adversarial network produced 944 physically consistent synthetic rock-strength records from 944 laboratory measurements, preserving key UCS–porosity–density relationships.
A controlled benchmark of six machine-learning classifiers on a synthetic road-accident dataset shows that the most accurate models still missed ...
Researchers trained stage-specific StyleGAN3 models to synthesize human blastocyst images and validated them with distributional, spectral, and classifier-based tests, finding ...
A new generative adversarial framework embeds Hopf bifurcation dynamics and Lyapunov-based regularization into its generator, reporting improved distributional similarity, temporal ...
An exploratory quantile-regression study of 50 synthetic firms finds that automated lead generation is negatively associated with revenue growth, strongest ...
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© 2026 Scienmag - Science Magazine