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Improved CNN with BiLSTM model for early melanoma and skin lesion classification. [PDF]
Front Artif IntellRajeshkumar S, Chowdhary CL.
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In Silico Studies of Potent Tyrosine Kinase Inhibitors: Molecular Docking and Pharmacophore Modeling Approaches. [PDF]
MoleculesMavridis E +2 more
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DeepForgeryNet: a hybrid CNN-LSTM and transfer learning framework for robust image forgery and deepfake detection. [PDF]
Front Artif IntellSardhara A +3 more
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Teaching CNN and learning by using CNN
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications, 2003In 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 +3 more
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IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1993
A concise tutorial description of the cellular neural network (CNN) paradigm is given, along with a precise taxonomy. The CNN is defined, and the canonical equations are described. The importance of many independent input signal arrays, adaptive templates, and the multilayer capability is emphasized and motivated by examples.
Chua, Leon O., Roska, Tamás
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A concise tutorial description of the cellular neural network (CNN) paradigm is given, along with a precise taxonomy. The CNN is defined, and the canonical equations are described. The importance of many independent input signal arrays, adaptive templates, and the multilayer capability is emphasized and motivated by examples.
Chua, Leon O., Roska, Tamás
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Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94, 2002
If a CNN template, through the application of one of the sign-changing transformations T defined by Chua and Wu (see Int. Journal of Circuit Theory and Applications, vol. 20, p.497-517, 1992), is positive and cell-linking and has isolated equilibria then the convergence of the original CNN follows; this is theorem 4 of the aforementioned paper.
Mark P. Joy, Vedat Tavsanoglu
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If a CNN template, through the application of one of the sign-changing transformations T defined by Chua and Wu (see Int. Journal of Circuit Theory and Applications, vol. 20, p.497-517, 1992), is positive and cell-linking and has isolated equilibria then the convergence of the original CNN follows; this is theorem 4 of the aforementioned paper.
Mark P. Joy, Vedat Tavsanoglu
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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 +2 more
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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 +2 more
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Nonlinear CNN: improving CNNs with quadratic convolutions
Neural Computing and Applications, 2019In this work, instead of designing deeper convolutional neural networks, we investigate the relationship between the nonlinearity of convolution layer and the performance of the network. We modify the normal convolution layer by inserting quadratic convolution units which can map linear features to a higher-dimensional space in a single layer so as to ...
Yiyang Jiang +4 more
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