UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Recently, a growing interest has been seen in deep learning-based semantic segmentation. UNet, which is one of deep learning networks with an encoder-decoder architecture, is wi...
Recently, a growing interest has been seen in deep learning-based semantic segmentation. UNet, which is one of deep learning networks with an encoder-decoder architecture, is wi...
The self-assembly of asymmetric cyclic peptides offers considerable promise for the design of functional nanomaterials. In this study, we systematically investigate the concentr...
High-efficiency integrated difference frequency generation (DFG) has long been pursued for optical communications and signal processing. Recent developments of the thin-film lit...
Migraine is a complex neurological disorder with substantial heritability, yet genome-wide association studies (GWAS) have explained only a fraction of its genetic component. We...
Eye tracking scanpaths encode the temporal sequence and spatial distribution of eye movements, offering insights into visual attention and aesthetic perception. However, analysi...
Quantum phase transition is a fundamental physical phenomenon in a quantum many-body system. This work aims to explore the quantum phase transition in an atom–molecule conversio...
Abstract This paper presents a methodological study on tracing the material composition and construction technology of historical concrete. Samples were taken from a beam in the...