Benchmarking Deep Transfer Learning Models for COVID-19 Lung Ultrasound Detection
A systematic benchmarking study demonstrates that DenseNet-121 paired with the Adam optimizer achieves exceptional diagnostic accuracy in detecting COVID-19 from ...
A systematic benchmarking study demonstrates that DenseNet-121 paired with the Adam optimizer achieves exceptional diagnostic accuracy in detecting COVID-19 from ...
Researchers report that replacing Adam's squared-gradient second moment with the mean absolute deviation yields smoother training, fewer oscillations and faster ...
A Scientific Reports abstract describes a hybrid decomposition and deep-learning model that reported favorable accuracy and generalization performance for hourly ...
A first-of-its-kind benchmark from the Technical University of Munich compares algorithms for optimizing industrial robot base placement, finding that an ...
Researchers in Maharashtra trained a three-layer deep neural network on pollutant data from Solapur's municipal monitoring station, achieving an R-squared ...
Researchers have developed Hyb-Adam-UA, a two-stage algorithm that fills missing entries in mitochondrial DNA distance matrices by optimizing tree-like additivity, ...
A rigorous cross-domain benchmark finds no detectable advantage for quantum-inspired optimizers over well-tuned classical methods in neural-network training.
Adam, the adaptive optimization algorithm that underpins much of modern deep learning, has long been treated as something of a ...
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© 2026 Scienmag - Science Magazine