Convolutional Neural Network-Based Fish Posture Classification by Xin Li, Anzi Ding, Shaojie Mei, Wenjin Wu, Wenguang Hou

“…As such, the convolutional neural network (CNN) is introduced here to do classification and then to detect the fish’s posture. …”
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Automatic Image Colorization Based on Convolutional Neural Networks by L. V. Serebryanaya, V. V. Potaraev

Subjects: “…artificial neural network…”
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Recursive Neural Networks Based on PSO for Image Parsing by Guo-Rong Cai, Shui-Li Chen

“…This paper presents an image parsing algorithm which is based on Particle Swarm Optimization (PSO) and Recursive Neural Networks (RNNs). State-of-the-art method such as traditional RNN-based parsing strategy uses L-BFGS over the complete data for learning the parameters. …”
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Backpropagation Neural Network Implementation for Medical Image Compression by Kamil Dimililer

“…In this paper, Haar wavelet transform and discrete cosine transform are considered and a neural network is trained to relate the X-ray image contents to their ideal compression method and their optimum compression ratio.…”
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Classification of ECG signals using deep neural networks by Nadour Mohamed, Cherroun Lakhmissi, Hadroug Nadji

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Crypto Currency Price Forecast: Neural Network Perspectives by Yuriy Kleban, Tetiana Stasiuk

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Lung cancer classification with Convolutional Neural Network Architectures by Shivan H. M. Mohammed, Ahmet Çinar

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Artificial neural network TSR for optimization of actinomycin production by Marzieh Lamtar-Gholipoor, Soheil Fakheri, Mahmoud Alimoradi

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Complexity of Deep Convolutional Neural Networks in Mobile Computing by Saad Naeem, Noreen Jamil, Habib Ullah Khan, Shah Nazir

“…These neural networks are computation-intensive, and training them requires a lot of training data. …”
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Microseismic Signal Classification Based on Artificial Neural Networks by Chong-wei Xin, Fu-xing Jiang, Guo-dong Jin

“…An automatic classification algorithm based on artificial neural networks (ANNs) has been proposed. The model presented an excellent performance in identifying three preclassified signals in the test set. …”
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A deep neural network for general scattering matrix by Jing Yongxin, Chu Hongchen, Huang Bo, Luo Jie, Wang Wei, Lai Yun

Subjects: “…deep neural network…”
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Application of Artificial Neural Network in the Baking Process of Salmon by Pengfei Jiang, Kaiyue Zhu, Shan Shang, Wengang Jin, Wanying Yu, Shuang Li, Shen Wang, Xiuping Dong

“…This paper deals with the relationship between moisture content, low-field nuclear magnetic resonance (LF-NMR), scanning electron microscope (SEM), and sensory evaluation in the baking process of salmon. An artificial neural network (ANN) model has been established to simulate the change of moisture content and energy consumed in the baking process. …”
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Using Convolutional Neural Networks for segmentation of brain tumors by Kauã Gabriel Silva de Lima, Vagner Alves Ferreira da Silva, João Victor Oliveira da Silva, Lucas Patrick Ramos de Oliveira, Diogo Lopes da Silva

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Gearbox Fault Identification and Classification with Convolutional Neural Networks by ZhiQiang Chen, Chuan Li, René-Vinicio Sanchez

“…Based on vibration signals, this paper presents an implementation of deep learning algorithm convolutional neural network (CNN) used for fault identification and classification in gearboxes. …”
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Deep neural networks have an inbuilt Occam’s razor by Chris Mingard, Henry Rees, Guillermo Valle-Pérez, Ard A. Louis

“…Abstract The remarkable performance of overparameterized deep neural networks (DNNs) must arise from an interplay between network architecture, training algorithms, and structure in the data. …”
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Application of Sports Clustering Deconstruction Based on Neural Network by Xiaobing Ma

“…In this paper, the sports based on neural network is used to improve the problems existing in the practical teaching application of sports clustering analysis. …”
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Prediction of earthquake by machine learning models and neural network by Xu Bohong

“…Earthquake prediction, in this article, is executed with a neural network and machine learning models. After reading many articles, the author discovered that not many articles use a fully connected neural network to predict earthquake magnitude. …”
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SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING by Vladimir Milićević, Igor Franc, Maja Lutovac Banduka, Nemanja Zdravković, Nikola Dimitrijević

Subjects: “…artificial neural networks…”
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Nonintrusive Load Disaggregation Based on Attention Neural Networks by Shunfu Lin, Jiayu Yang, Yi Li, Yunwei Shen, Fangxing Li, Xiaoyan Bian, Dongdong Li

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Permanence for a Generalized Discrete Neural Network System by Stevo Stevic

“…The above system is an extension of a two-dimensional discrete neural network system.…”
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