A new multi-graph approach for selecting the sequential excavation method of civil tunnels
Sign Up to like & getrecommendations! Published in 2019 at "Tunnelling and Underground Space Technology"
DOI: 10.1016/j.tust.2019.102999
Abstract: Abstract Growth of urban population, traffic congestion and global warming emissions, have caused the experts to design and construct large span tunnels even in the complex geotechnical conditions where the selection of tunnel excavation method… read more here.
Keywords: method; excavation method; multi graph; sequential excavation ... See more keywords
Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3274587
Abstract: Detecting potential associations between drugs and diseases plays an indispensable role in drug development, which has also become a research hotspot in recent years. Compared with traditional methods, some computational approaches have the advantages of… read more here.
Keywords: rank matrix; low rank; regularization; graph regularization ... See more keywords
Research on semi-supervised multi-graph classification algorithm based on MR-MGSSL for sensor network
Sign Up to like & getrecommendations! Published in 2020 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-020-01745-x
Abstract: With the advent of the era of network information, the amount of data in network information is getting larger and larger, and the classification of data becomes particularly important. Current semi-supervised multi-map classification methods cannot… read more here.
Keywords: supervised multi; classification; multi graph; semi supervised ... See more keywords
Mental State Classification Using Multi-Graph Features
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.930291
Abstract: We consider the problem of extracting features from passive, multi-channel electroencephalogram (EEG) devices for downstream inference tasks related to high-level mental states such as stress and cognitive load. Our proposed feature extraction method uses recently… read more here.
Keywords: mental state; multi graph; using multi; classification using ... See more keywords
Multi-Graph Multi-Label Learning Based on Entropy
Sign Up to like & getrecommendations! Published in 2018 at "Entropy"
DOI: 10.3390/e20040245
Abstract: Recently, Multi-Graph Learning was proposed as the extension of Multi-Instance Learning and has achieved some successes. However, to the best of our knowledge, currently, there is no study working on Multi-Graph Multi-Label Learning, where each… read more here.
Keywords: multi; multi graph; multi label; graph multi ... See more keywords
A Domain-Adversarial Multi-Graph Convolutional Network for Unsupervised Domain Adaptation Rolling Bearing Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14122654
Abstract: The transfer learning method, based on unsupervised domain adaptation (UDA), has been broadly utilized in research on fault diagnosis under variable working conditions with certain results. However, traditional UDA methods pay more attention to extracting… read more here.
Keywords: graph convolutional; fault diagnosis; domain; multi graph ... See more keywords