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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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

“…Abstract Analog In-memory Computing (IMC) has demonstrated energy-efficient and low latency implementation of convolution and fully-connected layers in deep neural networks (DNN) by using physics for computing in parallel resistive memory arrays. …”
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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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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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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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SViG: A Similarity-Thresholded Approach for Vision Graph Neural Networks by Ismael Elsharkawi, Hossam Sharara, Ahmed Rafea

Subjects: “…Graph Neural Networks…”
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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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Existence of Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Neutral Delays by Ninghua Chen

“…This paper considers the existence of periodic solutions for shunting inhibitory cellular neural networks (SICNNs) with neutral delays. By applying the theory of abstract continuation theorem of k-set contractive operator and some analysis technique, a new result on the existence of periodic solutions is obtained.…”
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The application of series multi-pooling convolutional neural networks for medical image segmentation by Feng Wang, Siwei Huang, Lei Shi, Weiguo Fan

“…To solve the said problems, the model of convolutional neural network in the deep learning approach was used in this article to cope with classification and labeling tasks of brain tumor images. …”
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Adaptive Neural Network Control for Industrial Optical Tweezers With Uncertain Closed Architecture by Gulam Dastagir Khan, Ibrahim Al-Naimi

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