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A deep learning model to enhance lung cancer detection using 'Dual-Branch' model classification approach. [PDF]

PLoS One
Shweikeh E, Al-Rajab M, Lu J, Xu Q, Joy M, Ahmed A, Chang H.   +6 more
europepmc   +1 more source

Smart comprehend gesture based emotions recognition system for people with hearing disability utilizing spatio temporal graph convolutional network techniques. [PDF]

Sci Rep
Alshahrani R, Alharbi AAK.
europepmc   +1 more source

Exploiting fuzzy weights in CNN model-based taxonomic classification of 500-bp sequence bacterial dataset. [PDF]

Sci Rep
Algarni AD, Abd El-Samie FE, Soliman NF, Emara HM, Algarni F, Abd-Alhalem SM, Marie HS.   +6 more
europepmc   +1 more source

Evaluation of deep learning tools in medical diagnosis and treatment of cancer: research analysis of clinical and randomized clinical trials. [PDF]

Front Netw Physiol
Hodeify R.
europepmc   +1 more source

Machine learning analysis based on deep learning for fatigue diagnostics in carbon fiber reinforced polymers. [PDF]

PLoS One
Salah Al-Shati A, Mohammed TJ.
europepmc   +1 more source

Bayesian deep learning for probabilistic aquifer vulnerability and uncertainty prediction. [PDF]

Sci Rep
Mengistu TD, Kim MG, Chung IM, Chang SW.
europepmc   +1 more source

Efekt CNN

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CNN

2023
The field of artificial intelligence (AI) is very promising with the emergence of machine learning and deep learning algorithms. The rise of convolutional neural networks (CNN) is very propitious in deep learning as it is more accurate and powerful than previously known soft computational models like artificial neural networks (ANN) and recurrent ...
Mohan Kumar Dehury, Ronit Kumar Gupta, Tannisha Kundu   +2 more
openaire   +1 more source

Teaching CNN and learning by using CNN

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications, 2003
In this communication we remark our experience in teaching CNN technologies at the Universita degli Studi di Catania in the course of Adaptive Systems. The main result regards the possibility of using the CNN subject to introduce further topics in circuits and dynamical systems. The students reached high level skills in the related field. Moreover they
BUCOLO, MAIDE ANGELA RITA, FORTUNA, Luigi, ARENA, Paolo Pietro, Basile, A.   +3 more
openaire   +3 more sources