Application of Convolutional Neural Network (CNN) to Recognize Ship Structures [PDF]
Sensors, 2022 The purpose of this paper is to study the recognition of ships and their structures to improve the safety of drone operations engaged in shore-to-ship drone delivery service. This study has developed a system that can distinguish between ships and their structures by using a convolutional neural network (CNN).
Dong Hun Lee, Dae-Won Kim
exaly +6 more sources
Optimization of Trash Identification on the House Compound Using a Convolutional Neural Network (CNN) and Sensor System [PDF]
Sensors, 2023 Nazlena Mohamad Ali +2 more
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Chinese fingerspelling sign language recognition using a nine-layer convolutional neural network [PDF]
EAI Endorsed Transactions on e-Learning, 2021 INTRODUCTION: Sign language is a form of communication and exchange of ideas by people who are hearing-impaired or unable to speak.
Ya Gao +3 more
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DK-CNNs: Dynamic kernel convolutional neural networks [PDF]
Neurocomputing, 2021 This paper introduces dynamic kernel convolutional neural networks (DK-CNNs), an enhanced type of CNN, by performing line-by-line scanning regular convolution to generate a latent dimension of kernel weights. The proposed DK-CNN applies regular convolution to the DK weights, which rely on a latent variable, and discretizes the space of the latent ...
Liu, Jialin +4 more
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A noise robust convolutional neural network for image classification
Results in Engineering, 2021 Convolutional Neural Networks (CNNs) are extensively used for image classification. Noisy images reduce the classification performance of convolutional neural networks and increase the training time of the networks.
Mohammad Momeny +4 more
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Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics [PDF]
Molecular Diversity, 2021 AbstractConvolutional neural networks (CNNs) have been used to extract information from various datasets of different dimensions. This approach has led to accurate interpretations in several subfields of biological research, like pharmacogenomics, addressing issues previously faced by other computational methods.
Vaz, Joel Markus, Balaji, S.
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Klasifikasi Penyakit Mata Menggunakan Convolutional Neural Network (CNN)
Sistemasi: Jurnal Sistem Informasi, 2021 Abstrak Gangguan pada mata atau disebut juga penyakit mata adalah suatu kondisi yang mampu mempengaruhi jangka waktu hidup bagi sebagian orang. Gangguan mata atau penyakit mata banyak sekali jenisnya, diantaranya yaitu katarak, glaukoma dan retina ...
Fani Nurona Cahya +3 more
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Research on improved convolutional wavelet neural network
Scientific Reports, 2021 Artificial neural networks (ANN) which include deep learning neural networks (DNN) have problems such as the local minimal problem of Back propagation neural network (BPNN), the unstable problem of Radial basis function neural network (RBFNN) and the ...
Jingwei Liu +4 more
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SAR image classification based on multi‐feature fusion decision convolutional neural network
IET Image Processing, 2022 With the success of convolutional neural network (CNN) in the field of image processing and image recognition, an improved fully convolutional neural network (FCNN) based on CNN is proposed.
Liang Guo
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Sensors, 2020 The interaction between humans and an NAO robot using deep convolutional neural networks (CNN) is presented in this paper based on an innovative end-to-end pipeline method that applies two optimized CNNs, one for face recognition (FR) and another one for
Daniel Octavian Melinte +1 more
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