Results 221 to 230 of about 505,774 (261)

Sex estimation from lateral cephalograms via a hybrid multimodel convolutional neural network. [PDF]

Sci Rep
Widyaningrum R, Rosyida NF, Ningtyas AH, Faadiya AN, Sugianto P, Kinanggit ND.   +5 more
europepmc   +1 more source

Assessment of Heart Rhythm and Arrhythmia Detection from Electromyographic Signals Using a Convolutional Neural Network. [PDF]

Sovrem Tekhnologii Med
Sazhina MA, Lobov SA, Pimashkin AS, Loskot IV, Kazantsev VB.   +4 more
europepmc   +1 more source

Design and development of a convolutional neural network based on human cognitive attention mechanism for automatic classification of leukemia. [PDF]

PLoS One
Zolfaghari M, Saniee Abadeh M, Sajedi H.
europepmc   +1 more source

3D reconstruction of spatial transcriptomics with spatial pattern enhanced graph convolutional neural network. [PDF]

Brief Bioinform
Tang C, Zhou Y, Xiao X, Dong L, Yu L, Li Q, Xiao G, Xu L.   +7 more
europepmc   +1 more source

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Convolutional Neural Networks

2023
Dieses Kapitel führt in Convolutional Neural Networks (CNNs) ein und beschreibt, wie diese im Kontext der Sportanalyse verwendet werden können. Insbesondere eignen sich CNNs für das End-to-End-Lernen auf Bildern oder ähnlich strukturierten Daten. Dabei können CNNs Merkmale von Bildern anhand der Pixelwerte effizient lernen und beispielsweise sehr gute ...
Teik Toe Teoh, Yu Jin Goh
  +6 more sources

Convolutional Neural Network

2021
Convolutional neural network (CNN) is a (Agrawal and Roy, IEEE Trans Magn 55:1–7, 2019) class of deep neural network. CNNs are what we call the most representative supervised model in the theory of deep learning is the technique that nowadays (Akinaga and Shima, Proc IEEE 98:2237–2251, 2010) is producing a lot of outstanding results especially in the ...
Y. V. R. Nagapawan, Kolla Bhanu Prakash, G. R. Kanagachidambaresan   +2 more
  +5 more sources

Differential convolutional neural network

Neural Networks, 2019
Convolutional neural networks with strong representation ability of deep structures have ever increasing popularity in many research areas. The main difference of Convolutional Neural Networks with respect to existing similar artificial neural networks is the inclusion of the convolutional part.
Sarıgül M., Ozyildirim B.M., Avci M.
openaire   +3 more sources

Convolutional neural networks

2021
In this chapter we introduce the convolutional neural network theory including concepts such as convolution operator, kernel, stride, padding and pooling.
Ullo S. L., Sebastianelli A., Rosso M. P. D., Spiller D., Puglisi E., Nowakowski A., Bernardi M. L., Cimitile M.   +7 more
openaire   +2 more sources