A deep ensemble dense convolutional neural network for rolling bearing fault diagnosis
Sign Up to like & getrecommendations! Published in 2021 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ac05f5
Abstract: The accurate identification of rolling bearing fault based on unbalanced data has always been a challenge in the field of fault diagnosis. In some practical scenarios, since the machine is in the normal state most… read more here.
Keywords: fault; dense convolutional; convolutional neural; neural network ... See more keywords
SleepNet: automated sleep analysis via dense convolutional neural network using physiological time series.
Sign Up to like & getrecommendations! Published in 2019 at "Physiological measurement"
DOI: 10.1088/1361-6579/ab3632
Abstract: In this work, a dense recurrent convolutional neural network (DRCNN) was constructed to detect sleep disorders including arousal, apnea and hypopnea using Polysomnography (PSG) measurement channels provided in the 2018 Physionet challenge database. Our model… read more here.
Keywords: network; dense convolutional; convolutional neural; model ... See more keywords
Dense Convolutional Networks for Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2908685
Abstract: Recent studies have greatly promoted the development of semantic segmentation. Most state-of-the-art methods adopt fully convolutional networks (FCNs) to accomplish this task, in which the fully connected layer is replaced with the convolution layer for… read more here.
Keywords: convolution; convolutional networks; dense convolutional; semantic segmentation ... See more keywords
Attentional Dense Convolutional Neural Network for Water Body Extraction From Sentinel-2 Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3198497
Abstract: Monitoring water bodies from remote sensing data is certainly an essential task to supervise the actual conditions of the available water resources for environment conservation, sustainable development, and many other applications. Being Sentinel-2 images some… read more here.
Keywords: water; extraction; convolutional neural; dense convolutional ... See more keywords
MDCAN-Lys: A Model for Predicting Succinylation Sites Based on Multilane Dense Convolutional Attention Network
Sign Up to like & getrecommendations! Published in 2021 at "Biomolecules"
DOI: 10.3390/biom11060872
Abstract: Lysine succinylation is an important post-translational modification, whose abnormalities are closely related to the occurrence and development of many diseases. Therefore, exploring effective methods to identify succinylation sites is helpful for disease treatment and research… read more here.
Keywords: network; mdcan lys; succinylation; succinylation sites ... See more keywords