Artificial Neural Network in the CATS Training System by Yu. V. Popova

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ℋ∞ Stability Conditions for Fuzzy Neural Networks by Choon Ki Ahn

“…This paper presents a novel approach to assess the stability of fuzzy neural networks. First, we propose a new condition for the ℋ∞ stability of fuzzy neural networks. …”
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Academic progress monitoring through neural network by Ramri Shukla, Bardia Khalilian, Sara Partouvi

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Attention-Aware Heterogeneous Graph Neural Network by Jintao Zhang, Quan Xu

Subjects: “…graph neural network (gnn)…”
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Cognition: Differential-geometrical view on neural networks by S. A. Buffalov

Subjects: “…Neural network…”
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Bearing Defect Detection with Unsupervised Neural Networks by Jianqiao Xu, Zhaolu Zuo, Danchao Wu, Bing Li, Xiaoni Li, Deyi Kong

“…The experiment of the unsupervised neural networks shows that the AUC of the model is 0.9721. …”
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MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK by VALENTIN STOYANOV, IVAYLO STOYANOV, TEODOR ILIEV

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Recent Developments on Time-Delay Neural Networks by Zheng-Guang Wu, Yun Chen, Xusheng Lei, Kun Liu, Hui Zhang

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Convolutional neural networks for diabetic retinopathy detection by Darwin Patiño-Pérez, Luis Armijos-Valarezo, Luis Chóez-Acosta, Freddy Burgos-Robalino

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Neural networks utilization in the video game industry by V. V. Godin, A. E. Terekhova, D. N. Bulatov, I. А. Zaremba

Subjects: “…neural network…”
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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks by Vikram S. Ingole, Ujwala A. Kshirsagar, Vikash Singh, Manish Varun Yadav, Bipin Krishna, Roshan Kumar

“…Thus, the fusion of Convolutional Neural Networks with Recurrent Neural Networks and Graph Networks enhances the efficiency of the detection process.…”
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Daily Prediction Model of Photovoltaic Power Generation Using a Hybrid Architecture of Recurrent Neural Networks and Shallow Neural Networks by Wilson Castillo-Rojas, Juan Bekios-Calfa, César Hernández

“…For the implementation of these models, a hybrid architecture based on recurrent neural networks (RNN) with long short-term memory (LSTM) or gated recurrent units (GRU) structure, combined with shallow artificial neural networks (ANN) with multilayer perceptron (MLP) structure, is established. …”
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Classification of Invoice Images By Using Convolutional Neural Networks by Sait Ali Uymaz, Ömer Arslan

Subjects: “…convolutional neural networks…”
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Influence of the Neural Network Hyperparameters on its Numerical Conditioning by S. V. Sholtanyuk

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Finite-Time Synchronizing Control for Chaotic Neural Networks by Chao Zhang, Qiang Guo, Jing Wang

“…This paper addresses the finite-time synchronizing problem for a class of chaotic neural networks. In a real communication network, parameters of the master system may be time-varying and the system may be perturbed by external disturbances. …”
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Classification of diabetic retinopathy stages based on neural networks by M. M. Lukashevich, Y. I. Golub

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Finite-Time Robust Stabilization for Stochastic Neural Networks by Weixiong Jin, Xiaoyang Liu, Xiangjun Zhao, Nan Jiang, Zhengxin Wang

“…This paper is concerned with the finite-time stabilization for a class of stochastic neural networks (SNNs) with noise perturbations. The purpose of the addressed problem is to design a nonlinear stabilizator which can stabilize the states of neural networks in finite time. …”
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Tailoring convolutional neural networks for custom botanical data by Jamie R. Sykes, Katherine J. Denby, Daniel W. Franks

“…Methods We address this gap with informed data collection and the development of a new convolutional neural network architecture, PhytNet. Utilising a novel dataset of infrared cocoa tree images, we demonstrate PhytNet's development and compare its performance with existing architectures. …”
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Accelerating Deep Neural Networks implementation: A survey by Meriam Dhouibi, Ahmed Karim Ben Salem, Afef Saidi, Slim Ben Saoud

“…Deploying such Deep Neural Networks (DNN) on embedded devices is still a challenging task considering the massive requirement of computation and storage. …”
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Arrhythmia Classification Techniques Using Deep Neural Network by Ali Haider Khan, Muzammil Hussain, Muhammad Kamran Malik

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