Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural network
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaa652
Abstract: MOTIVATION RNA solvent accessibility, similar to protein solvent accessibility, reflects the structural regions that are accessible to solvents or other functional biomolecules, and plays an important role for structural and functional characterization. Unlike protein solvent… read more here.
Keywords: rna solvent; dilated convolutional; rnasnap2; accessibility ... See more keywords
Dilated 3D Convolutional Neural Networks for Brain MRI Data Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2941912
Abstract: Benefiting from the research of machine learning (ML) and deep learning(DL), multivariate methods based on ML and DL have been the mainstream and successful analysis methods in Neural Engineering or Neuroimaging research, for example, assisting… read more here.
Keywords: dilated convolutional; mri; mri images; convolutional neural ... See more keywords
Quantum Dilated Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152213
Abstract: In recent years, with rapid progress in the development of quantum technologies, quantum machine learning has attracted a lot of interest. In particular, a family of hybrid quantum-classical neural networks, consisting of classical and quantum… read more here.
Keywords: quantum dilated; neural networks; dilated convolutional; convolutional neural ... See more keywords
Tree-Structured Dilated Convolutional Networks for Image Compressed Sensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206016
Abstract: To better recover a sparse image signal carrying redundant information from many fewer measurements than the Nyquist-Shannon sampling theorem suggested, convolutional neural networks (CNNs) can be used to emulate a compressed sensing (CS) process. However,… read more here.
Keywords: dilated convolutional; convolutional networks; compressed sensing; tree structured ... See more keywords
Computationally Efficient Dilated Convolutional Model for Melody Extraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3189313
Abstract: In this paper we propose a dilated convolutional model for music melody extraction. Taking variable-q transforms (VQTs) as inputs, it first uses consecutive layers of convolution to capture local temporal-frequency patterns, and then a single… read more here.
Keywords: convolutional model; dilated convolutional; melody extraction; model ... See more keywords
Ensemble Dilated Convolutional Neural Network and Its Application in Rotating Machinery Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6316140
Abstract: Fault diagnosis of rotating machinery is an attractive yet challenging task. This paper presents a novel intelligent fault diagnosis scheme for rotating machinery based on ensemble dilated convolutional neural networks. The novel fault diagnosis framework… read more here.
Keywords: fault diagnosis; dilated convolutional; convolutional neural; fault ... See more keywords