In summary, we have shown, through the use of serial block-face SEM and automated image segmentation and analysis based on a deep-learning model, the 3D structure of a microbial parasite at the ...

Therefore, using a pre-defined geometrical model will probably lead to inferior matching accuracy. In order to find good correspondences, we propose a simple yet efficient deep learning network, which ...

Department of Fine Arts, Shandong University of Arts, Jinan, China This exploration aims to study the emotion recognition of speech and graphic visualization of expressions of learners under the ...

Although artificial neural networks are powerful classifiers, their internal structures are hard to ... Interpretability of deep learning models: a survey of results. Paper presented at IEEE ...

Researchers have developed a deep ... model that takes inspiration from Boltzmann generators, which are highly advanced physics-based machine learning models. PepFlow can also model peptide ...

This function can tune and adjust itself, over and over at unimaginable levels of complexity, in order to “learn” precisely how a protein sequence mathematically relates to its structure. AlQuraishi ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction ...