Wind is a highly effective and environmentally friendly renewable energy source. As the global development of wind farms continues, accurate wind power prediction has become essential for ensuring consistent energy production. Machine learning (ML) s... read more
The proposed work presents a hybrid deep learning framework that integrates four pre-trained Convolutional Neural Networks that include VGG16, DenseNet201, ResNet50 and InceptionV3. The pre-trained CNNs are combined with a GAN-based adversarial refin... read more
More than 65 years ago, complex clinical diagnostic reasoning cases were introduced as the gold standard for the evaluation of expert medical computing systems, a standard that has held ever since. In this study, we report the results of a physician ... read more
Because all known living organisms are made from at least 20 canonical amino acids, the feasibility of life using a more simplified alphabet remains unclear. In this work, we leveraged computational design and synthetic biology to explore building a ... read more
Despite growing reference libraries and advanced computational tools, progress in the field of metabolomics remains constrained by low rates of annotating measured spectra. The recent developments of large language models (LLMs) have led to strong pe... read more
BACKGROUND: Patients with breast cancer often experience health-related quality of life (HRQoL) impairments that remain difficult to predict on an individual level. Prediction models can aid in understanding individual survivorship trajectories. Howe... read more
Polarization-assisted visual secret sharing (VSS), based on metasurfaces, provides a promising route toward secure and computation-free optical encryption by distributing secret information into orthogonal polarization channels. However, existing imp... read more
BACKGROUND: Repeated-measures datasets are common in biomechanics and digital health, where each participant contributes multiple correlated trials. If cross-validation (CV) ignores this structure, information can leak from training to test folds, in... read more
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