Top Tweets for #convolutionalNeuralNetworks
π’ #highlycited paper
π #CrackIdentification for #BridgeConditionMonitoring Combining #GraphAttentionNetworks and #ConvolutionalNeuralNetworks
π https://t.co/V148WU9qWM
π¨βπ¬ by Feiyu Chen et al.
π« 713 Research Institute of CSSC/Henan Key Laboratory of Intelligent Underwater Equipment/Beihang University
#machinevision #bridgeconditionmonitoring
πNew Resource Available! #AgricultureMdpi
πExplainable #DeepLearning and Edge Inference for Chilli Thrips Severity Classification in #Strawberry Canopies
βοΈ@PrecAgSWFREC et al.
πRead the full paper here:
https://t.co/5xzuVpyQSq
#convolutionalneuralnetworks #pestdetection
π’ #highlycited paper
π Using #ConvolutionalNeuralNetworks for Blocking Prediction in #ElasticOpticalNetworks
π https://t.co/zdt2uqJCK9
π¨βπ¬ by Farzaneh Nourmohammadi et al.
π« Universitat PolitΓ¨cnica de Catalunya/University of Applied Sciences Emden/Leer
#spectrumallocation #sequentialdata
π₯ Special Issue extended deadline for submission!
π https://t.co/A0pt2xkZVy
π The new deadline for submissions is 30 June 2026
π #PETCT #PETMRI #AI #radiomics #machinelearning #deeplearning #convolutionalneuralnetworks #autosegmentation #quantification #theranostics
π£ New #SpecialIssue: Convolutional-Neural-Network-Enhanced Intelligent Control Strategies for Smart Actuators and Robotics in Mechatronic Systems
π https://t.co/1vqhzVOEWD
Submission date: 31 Jul 2026
Guest Editor: Prof. Dr. Nguyen Truong Thinh
#convolutionalneuralnetworks
π Rotational Convolution Design in #ConvolutionalNeuralNetworks for Direct 3D #ElectromagneticTomography
π https://t.co/pzCX8txXeK
π¨βπ¬ by Pengfei Zhao and Ze Liu
π« @bjtu1896
#threedimensional #imagereconstruction
π₯ Read our Highly Cited Paper
π #SFFNet: Staged #FeatureFusionNetwork of Connecting #ConvolutionalNeuralNetworks and #GraphConvolutionalNeuralNetworks for #HyperspectralImageClassification
π https://t.co/Rjt95UAEL5
π¨βπ¬ Hao Li et al.
π« Wuhan Polytechnic University / @WHU_1893
How can #ConvolutionalNeuralNetworks and #SIFT features enhance #MechanicalPartRecognition accuracy and speed in real-time #ImageProcessing applications?
Read more in a special issue paper published in #SCPE, Vol. 26, No. 3, ISSN 1895-1767: https://t.co/qm73s3aVMH
Read #NewPaper "Optimized Deep Learning for Mammography: Augmentation and Tailored Architectures" from Syed Ibrar Hussain and Elena Toscano.
See more details at:
https://t.co/IxEitknwN8
#medicalimaging
#convolutionalneuralnetworks
@ComSciMath_Mdpi
Ever wondered how machines see the world?
This video breaks down Convolutional Neural Networks (CNN) in under 3 minutes.
Check out the link in the comments to learn how to use CNN in a project!
#convolutionalneuralnetworks #datascience #datasciencecourse
#ibm #stemeducation
#mdpisymmetry #featurepaper Feature Paper "Progress of Machine Learning Studies on the Nuclear Charge Radii" is available at https://t.co/0gxlj39sDp
Authors: Ping Su et al.
#nuclear #chargeradius #machinelearning #convolutionalneuralnetworks
@MdpiPhysci
Yoshihiro Obata et al.: Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging #MachineLearning #ConvolutionalNeuralNetworks @UCSanDiego @advlightsource... #IUCr https://t.co/5cwR39AePT
π₯ Read our Paper
πΒ Research on Fault Diagnosis of Wind Turbine Gearbox with Snowflake Graph and Deep Learning Algorithm
π https://t.co/1k8qZYvQmC
π¨βπ¬ byΒ Meng-HuiΒ Wang et al.
#gearbox #convolutionalneuralnetworks #windturbine
Welcome to read and share the Highly Accessed Article in 2024.
π’ Title: Insights into Image Understanding: Segmentation Methods for Object Recognition and Scene Classification
π’ Paper link: https://t.co/DR037vJIqr
#convolutionalneuralnetworks #imagesegmentation
The new year is off to a good start with our first regular J.UCS issue! Read the latest research on current topics such as #GameTheory, #ConvolutionalNeuralNetworks, #StackOverflow and #GitHub, #Hadoop, #ZeroShotLearning and more:
https://t.co/7lBkqXq9NT
Enjoy!
#Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional #ConvolutionalNeuralNetworks Based on Frequency Spectra of Radiofrequency Signals with #DeepLearning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study
https://t.co/TsjrcNQPpG
@BJUT1960
Leveraging Deep Learning for Time-Series Extrinsic Regression in Predicting the Photometric Metallicity of Fundamental-Mode RR Lyrae Stars
https://t.co/njtQcQvjWT
#deeplearning #convolutionalneuralnetworks
#Daily_Share
Welcome to read and share the newly published paper "Unsupervised Image Segmentation on 2D Echocardiogram".
Read via: https://t.co/Stmq5bQTWD
#unsupervisedlearning #imagesegmentation #echocardiography #convolutionalneuralnetworks #medicalimaging
Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicleβs Acceleration Measurements
https://t.co/R4Y14mVcG4
#rail #deeplearning #convolutionalneuralnetworks
Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2DΒ β
https://t.co/G7K8Ki5az5
#convolutionalneuralnetworks #electrode #ECG #image
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