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Oct 1, 2020 · The learning ability and overall classification performance of the proposed system can be validated with deep learning classification models.
Convolutional neural networks (CNNs): concepts and applications ...
www.ncbi.nlm.nih.gov › PMC8342355
May 24, 2021 · Convolutional neural networks (CNNs) have been used to extract information from various datasets of different dimensions.
Jul 15, 2021 · In a general computational context for biomedical data analysis, DNA sequence classification is a crucial challenge.
In this work, we have analyzed existing literatures that are based on convolutional neural network for gene expression data analysis. In most of the papers, ...
This paper proposed an image classification method based on improved CNN, to address the above challenges. Fixed size images as input of CNN are replaced with ...
Jan 28, 2020 · I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and ...
Taxonomic classification has a wide-range of applications such as finding out more about evolutionary history. Compared to the estimated number of organisms ...
Apr 24, 2016 · In this research, we proposed a new approach in classifying DNA sequences using the convolutional neural network while considering these ...
AbstractMotivation. The convolutional neural network (CNN) has been applied to the classification problem of DNA sequences, with the additional purpose of.
Dec 17, 2019 · Medical image classification plays an essential role in clinical treatment and teaching tasks. However, the traditional method has reached ...