Corporate Social Responsibility Based on Radial Basis Function Neural Network Evaluation Model of Low-Carbon Circular Economy Coupled Development by Zenghua Gong, Kaiyi Guo, Xiaoguang He

“…This paper uses the research of corporate social responsibility based on radial basis function neural network to build a low-carbon circular economy. …”
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GPS Spoofing Detection using CAF Images and Neural Networks Based on the Proposed Peak Mapping Dimensionality Reduction Algorithm and TCNN Model by M. J. Jahantab, S. Tohidi, Mohammad Reza Mosavi, Ahmad Ayatollahi

“…The reduced-dimensional images are trained by a Convolutional Neural Network (CNN). Additionally, a modified CNN model as Transformed-CNN (TCNN) is presented to enhance accuracy in this paper. …”
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Modeling Intercity Travel Mode Choice with Data Balance Changes: A Comparative Analysis of Bayesian Logit Model and Artificial Neural Networks by Xiaowei Li, Yuting Wang, Yao Wu, Jun Chen, Jibiao Zhou

“…This study conducts a comprehensive comparative analysis of regression-based multinomial models and artificial neural network models in intercity travel mode choices. …”
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Integrated ISPH approach with artificial neural network for magnetic influences on double diffusion of a non-Newtonian NEPCM in a curvilinear cavity by Weaam Alhejaili, Munirah Alotaibi, Abdelraheem M. Aly

“…The artificial neural network (ANN) in conjunction with the incompressible smoothed particle hydrodynamics (ISPH) approach, deals with exothermic reaction effects on Cattaneo-Christov (Ca-Ch) heat and mass transport of nano-enhanced phase change material (NEPCM) in a curvilinear cavity. …”
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Quality by Design-Based Methodology for Development of Titanate Nanotubes Specified for Pharmaceutical Applications Based on Risk Assessment and Artificial Neural Network Modeling by Ranim Saker, Géza Regdon, Krisztina Ludasi, Tamás Sovány

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Denoising and deconvolving CT images of unknown origin: comparing linear Wiener-deconvolution with deep convolutional neural network Noise2Inverse by Simon Zabler, Antoine Klos, Pierre Lhuissier, Luc Salvo, Maziyar Farahmandi, Simon Wittl

“…Therefore, convolutional neural networks (CNN) such as MSDnet or UNet can significantly improve reconstructions from low-dose CT scans thanks to their non-linear nature. …”
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Robust Exponential Stabilization of Stochastic Delay Interval Recurrent Neural Networks with Distributed Parameters and Markovian Jumping by Using Periodically Intermittent Control by Junhao Hu, Yunjian Peng, Yan Li

“…We consider a class of stochastic delay recurrent neural networks with distributed parameters and Markovian jumping. …”
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Finite-Time Synchronization of Fractional-Order Complex-Valued Cohen-Grossberg Neural Networks with Mixed Time Delays and State-Dependent Switching by Xiaoxia Li, Yingzi Cao, Chi Zheng, Zhixin Feng, Guizhi Xu

“…This paper discussed the finite-time synchronization of fractional-order complex-valued Cohen-Grossberg neural networks (FCVCGNNs), which contain mixed time delays and state-dependent switching that make the model more comprehensive. …”
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Retracted: Content System of Physical Fitness Training for Track and Field Athletes and Evaluation Criteria of Some Indicators Based on Artificial Neural Network by Discrete Dynamics in Nature and Society

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GIS-Based Landslide Susceptibility Mapping Using Information, Frequency Ratio, and Artificial Neural Network Methods in Qinghai Province, Northwestern China by Bin Li, Nianqin Wang, Jing Chen

“…In this paper, the information method (IM) model, frequency ratio (FR) model, and artificial neural network (ANN) model are used to evaluate the susceptibility of geological hazards, and the receiver operating characteristic (ROC) curve of disaster points at different levels is used to test the evaluation accuracy of three models. …”
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Delay-Range-Dependent Global Robust Passivity Analysis of Discrete-Time Uncertain Recurrent Neural Networks with Interval Time-Varying Delay by Chien-Yu Lu, Chin-Wen Liao, Hsun-Heng Tsai

“…This paper examines a passivity analysis for a class of discrete-time recurrent neural networks (DRNNs) with norm-bounded time-varying parameter uncertainties and interval time-varying delay. …”
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A Fault Diagnosis Method for Oil Well Pump Using Radial Basis Function Neural Network Combined with Modified Genetic Algorithm by Deliang Yu, Yanmei Li, Hao Sun, Yulong Ren, Yongming Zhang, Weigui Qi

“…This paper presents a new method to diagnose oil well pump faults using a modified radial basis function neural network. With the development of submersible linear motor technology, rodless pumping units have been widely used in oil exploration. …”
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Perbandingan Prediksi Penggunaan Listrik dengan Menggunakan Metode Long Short Term Memory (LSTM) dan Recurrent Neural Network (RNN) by Nurfatima Selle, Novanto Yudistira, Candra Dewi

“…Penelitian ini menggunakan metode Recurrent Neural Network (RNN) dan Long Short Term Memory (LSTM) yang merupakan metode pembelajaran deep learning. …”
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Predictive method for poultry carcass visceral dimensions using 3D point cloud and Genetic Algorithm-based wavelet neural network by Zhengwei Zhu, Yan Chen, Lu Cai, Jinzhou Yang, Ke Wen, Jingjing Bao, Zhigang Hu, Dandan Fu

Subjects: “…Genetic algorithm-based wavelet neural network…”
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Novel Speech-Based Emotion Climate Recognition in Peers’ Conversations Incorporating Affect Dynamics and Temporal Convolutional Neural Networks by Ghada Alhussein, Mohanad Alkhodari, Ahsan H. Khandoker, Leontios J. Hadjileontiadis

Subjects: “…temporal convolutional neural networks (TCNN)…”
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A Novel Hybrid Model for Credit Risk Assessment of Supply Chain Finance Based on Topological Data Analysis and Graph Neural Network by Kosar Farajpour Mojdehi, Babak Amiri, Amirali Haddadi

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Predictive Modeling of Total Real and Reactive Power Losses in Contingency Systems Using Function-Fitting Neural Networks with Graphical User Interface by Alfredo Bonini Neto, Alexandre de Queiroz, Giovana Gonçalves da Silva, André Gifalli, André Nunes de Souza, Enio Garbelini

“…This study introduces an innovative approach using Artificial Neural Networks (ANN) combined with the graphical interface to predict complete curves of real and reactive power losses in power systems under various contingencies. …”
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A New Artificial Neural Network Model for the Prediction of the Effect of Molar Ratios on Compressive Strength of Fly Ash-Slag Geopolymer Mortar by Shaise K. John, Alessio Cascardi, Yashida Nadir, Maria Antonietta Aiello, K. Girija

“…In this study, an Artificial Neural Network (ANN) model has been applied to predict the effect of molar ratios on the 28-day compressive strength of fly ash-slag geopolymer mortar. …”
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Multi-objective optimization of supply air inlet structure for impinging jet ventilation system based on radial basis function neural network by Chen Wang, Ke Hu, Yin Liu

Subjects: “…Radial basis function neural network…”
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Physical Model versus Artificial Neural Network (ANN) Model: A Comparative Study on Modeling Car-Following Behavior at Signalized Intersections by Lan Yang, Shan Fang, Guoyuan Wu, He Sheng, Zhigang Xu, Mengxiao Zhang, Xiangmo Zhao

“…In this study, two novel Artificial Neural Network (ANN) CF models, the Convolutional Neural Network—Long Short-term Memory (CNN-LSTM) and the Convolution-LSTM (Conv-LSTM)—are first applied to predict CF behaviors at signalized intersections. …”
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