AI Model Improves Pediatric Arrhythmia Detection Using Custom ECG Data
The study, published in BMC Biomedical Engineering, introduces a transfer learning architecture that integrates custom optimization algorithms and regularization methods ...
The study, published in BMC Biomedical Engineering, introduces a transfer learning architecture that integrates custom optimization algorithms and regularization methods ...
An ensemble of 100 LSTM networks trained on physically based groundwater simulations shows that ensemble spread strongly tracks RMSE and ...
Researchers propose a reinforcement learning method that automatically selects which layers of a pretrained neural network to fine-tune for medical ...
Researchers developed a wavelet-bilateral gated transfer network that improved automated segmentation of small-scale vascular structures on clinically acquired computed tomography ...
A study in mouse and cell models reveals that astrocytic phosphodiesterase 5 disrupts bidirectional mitochondrial transfer and biogenesis between astrocytes ...
An empirical evaluation of ten convolutional neural network architectures across three imaging modalities reveals that ImageNet pretraining gains do not ...
A genomic survey of Escherichia coli in Sichuan Province reveals that mobile genetic elements rather than bacterial clones drive the ...
A systematic benchmarking study demonstrates that DenseNet-121 paired with the Adam optimizer achieves exceptional diagnostic accuracy in detecting COVID-19 from ...
A conceptual framework proposes that aligned learning processes across educational scales could support far transfer and adaptive expertise in STEM ...
A transfer learning method tested in Iran's Kerman magmatic arc identified all three known porphyry copper deposits in an evaluation ...
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© 2025 Scienmag - Science Magazine