Classification of Riau Batik Motifs Using the Convolutional Neural Network (CNN) Algorithm by Dhea Amanda Ramadhan, Dian Ramadhani

“…By leveraging the Convolutional Neural Network (CNN) algorithm, the classification system was trained using a dataset of 1,440 images. …”
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Neural Network Assisted Inverse Dynamic Guidance for Terminally Constrained Entry Flight by Hao Zhou, Tawfiqur Rahman, Wanchun Chen

“…This paper presents a neural network assisted entry guidance law that is designed by applying Bézier approximation. …”
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Stability of Stochastic Reaction-Diffusion Recurrent Neural Networks with Unbounded Distributed Delays by Chuangxia Huang, Xinsong Yang, Yigang He, Lehua Huang

“…Stability of reaction-diffusion recurrent neural networks (RNNs) with continuously distributed delays and stochastic influence are considered. …”
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Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment by Gaige Wang, Lihong Guo, Hong Duan

“…To improve the accuracy and usefulness of target threat assessment in the aerial combat, we propose a variant of wavelet neural networks, MWFWNN network, to solve threat assessment. …”
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Global Universality of the Two-Layer Neural Network with the k-Rectified Linear Unit by Naoya Hatano, Masahiro Ikeda, Isao Ishikawa, Yoshihiro Sawano

“…This paper concerns the universality of the two-layer neural network with the k-rectified linear unit activation function with k=1,2,… with a suitable norm without any restriction on the shape of the domain in the real line. …”
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Assessment of Sandy Silt Foundation Liquefaction on the Base of BP and RBF Neural Network by WU Hao, ZHANG Liang-gang

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Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks by Junyi Yang, Ruibin Mao, Mingrui Jiang, Yichuan Cheng, Pao-Sheng Vincent Sun, Shuai Dong, Giacomo Pedretti, Xia Sheng, Jim Ignowski, Haoliang Li, Can Li, Arindam Basu

“…However, recurrent neural networks (RNN) that are widely used for speech-recognition and natural language processing have tasted limited success with this approach. …”
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Artificial neural networks for stability analysis and simulation of delayed rabies spread models by Ramsha Shafqat, Ateq Alsaadi

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Rice Price Prediction with Long Short-Term Memory (LSTM) Neural Network by Rahmat Hidayat, Irawan Wibisonya

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Topside Electron Density Modeling Using Neural Network and Empirical Model Predictions by S. Dutta, M. B. Cohen

“…In prior work, an artificial neural network (NN) was developed and trained on two solar cycles worth of Defense Meteorological Satellite Program data (113 satellite‐years), along with global drivers and indices to predict topside electron density. …”
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Passivity and Synchronization of Multiple Multi-Delayed Neural Networks via Impulsive Control by Yong Wang, Zhichun Yang, Tonglai Liu, Hong-An Tang

“…This paper is concerned with the passivity and synchronization for multiple multi-delayed neural networks (MMDNNs) under impulsive control. To ensure the passivity, input strict passivity, and output strict passivity in MMDNNs, a suitable impulsive controller is designed. …”
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Residual Neural Network for Direction-of-Arrival Estimation of Multiple Targets in Low SNR by Yanhua Qin

“…Simulation results show that ResNet can achieve significant performance in DOA estimation compared to multiple signal classification, estimation of signal parameters via rotation invariance techniques, convolutional neural network (CNN), and deep complex-valued CNN in low signal-to-noise ratio.…”
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Deteksi Tingkat Kematangan Buah Pepaya menggunakan Model Convolutional Neural Network by Naufal Putra Sutrisna, Rafifa Addin Sahirah, Khansa Salsabila Sangdiva Laksono, Raditya Atmaja Satria Permadhi, Nadhira Nurannisa, Saqina Salsabila Larasati, Wahayu Widyaning Asmani, Novanto Yudistira

“…Dalam penelitian ini, diperkenalkan pendekatan inovatif dengan menggunakan Convolutional Neural Network (CNN) untuk mengatasi permasalahan tersebut. …”
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Synchronization of Chaotic Delayed Fuzzy Neural Networks under Impulsive and Stochastic Perturbations by Bing Li, Qiankun Song

“…The synchronization problem of chaotic fuzzy cellular neural networks with mixed delays is investigated. By an impulsive integrodifferential inequality and the Itô's formula, some sufficient criteria to synchronize the networks under both impulsive and stochastic perturbations are obtained. …”
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Combination linear lines of position and neural network for mobile station location estimation by Chien-Sheng Chen

“…It is much easier to solve two linear line equations rather than nonlinear circular ones. Artificial neural networks are widely used techniques in various areas due to overcoming the problem of exclusive and nonlinear relationships. …”
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Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds by Christopher J. Bell, Kaushallya Adhikari, Andrew Brown

Subjects: “…Convolutional neural network…”
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Targeted Discrepancy Attacks: Crafting Selective Adversarial Examples in Graph Neural Networks by Hyun Kwon, Jang-Woon Baek

Subjects: “…Graph neural network…”
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The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data by Valentino Blanco, Aitana Iglesias

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Multisource DOA Estimation in Impulsive Noise Environments Using Convolutional Neural Networks by Dong Chen, Young Hoon Joo

“…This work proposes an effective high-resolution multisource direction-of-arrival (DOA) estimation method in impulsive noise scenarios based on convolutional neural networks (CNNs). First of all, the array observation matrix is preprocessed and fed into a denoising network to suppress outliers and filter out impulsive noise. …”
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Reliability Evaluation of Distribution Power Systems Based on Artificial Neural Network Techniques by Mohammoud M. Hadow, Ahmed N. Abd Allah, Sazali P. Abdul karim

“…In order to assess the reliability of distribution systems, more and more researchers are directing their attention to the artificial intelligent method, and several reliability indices have been proposed, such as basic load point indices and system performance indices. Artificial neural network is recently established as a useful and much promising too, applied to variety of power systems engineering. …”
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