A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2020.04.016
Abstract: Abstract Considering all the monitoring data of bearings until failure, very few data are acquired when the bearings are faulty. Such circumstance leads to small faulty sample problem when an intelligent fault diagnosis method is… read more here.
Keywords: compact convolutional; multiscale feature; network; convolutional neural ... See more keywords
Tomato Disease Recognition Using a Compact Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192428
Abstract: The detection of diseases in tomatoes in advance and early intervention and treatment increase the production amount, efficiency, and quality, which will satisfy the consumer with a more affordable shelf price. Thus, the efforts of… read more here.
Keywords: neural network; network; disease; compact convolutional ... See more keywords
A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time
Sign Up to like & getrecommendations! Published in 2023 at "Biomedicines"
DOI: 10.3390/biomedicines11061566
Abstract: Diabetic retinopathy (DR) is the foremost cause of blindness in people with diabetes worldwide, and early diagnosis is essential for effective treatment. Unfortunately, the present DR screening method requires the skill of ophthalmologists and is… read more here.
Keywords: time; convolutional transformer; compact convolutional; model ... See more keywords