ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster by Eva Volna, Martin Kotyrba, Hashim Habiballa

“…The paper deals with ECG prediction based on neural networks classification of different types of time courses of ECG signals. …”
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Multi-functional broadband diffractive neural network with a single spatial light modulator by Bolin Li, Yinfei Zhu, Jinlei Fei, Runshi Zheng, Min Gu, Jian Lin

“…Diffractive neural networks (DNNs) are emerging as a novel optical computing architecture that combines wave optics with deep-learning methods for high-speed parallel information processing. …”
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Evaluation Models for Soil Nutrient Based on Support Vector Machine and Artificial Neural Networks by Hao Li, Weijia Leng, Yibing Zhou, Fudi Chen, Zhilong Xiu, Dazuo Yang

“…Results show that the average prediction accuracies of SVM models are 77.87% and 83.00%, respectively, while the general regression neural network (GRNN) model’s average prediction accuracy is 92.86%, indicating that SVM and GRNN models can be used effectively to assess the levels of soil nutrient with suitable dependent variables. …”
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Reconfigurable Integrated Photonic Unitary Neural Networks With Phase Encoding Enabled by In-Situ Training by Shengjie Tang, Cheng Chen, Qi Qin, Xiaoping Liu

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Intelligent fault diagnosis method for rolling bearings based on flexible residual neural network by Chuang CHEN, Xianfeng LI, Jiantao SHI, Dongdong YUE

Subjects: “…flexible residual neural network…”
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Characterization of the Collagen Extraction Manufacturing Process Using Markov Chains and Artificial Neural Networks by Rosa Trasvina-Osorio, Sergio Alonso-Romero, Juan de Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez, Erick Rojas-Mancera

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Vibration Reliability Analysis of Aeroengine Rotor Based on Intelligent Neural Network Modeling Framework by Jia-Qi Liu, Yun-Wen Feng, Cheng Lu, Wei-Huang Pan, Da Teng

“…Aiming at the highly nonlinear and strong coupling of factors affecting the reliability of aeroengine rotor vibration, an intelligent neural network modeling framework (short form-INNMF) is proposed. …”
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Retracted: Research on Tourism Resource Evaluation Based on Artificial Intelligence Neural Network Model by Advances in Meteorology

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Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete by K. Thirumalai Raja, N. Jayanthi, Jule Leta Tesfaye, N. Nagaprasad, R. Krishnaraj, V. S. Kaushik

“…Many academics have been interested in using an artificial neural network (ANN) to forecast concrete strength in recent years. …”
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Enhancing climate action evaluation using artificial neural networks: An analysis of SDG 13 by Cosimo Magazzino, Zakaria Zoundi

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Neural Network-Based Analysis of Flame States in Pulverised Coal and Biomass Co-Combustion by Żaklin Grądz, Waldemar Wójcik, Baglan Imanbek, Bakhyt Yeraliyeva

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Structural Optimization of the Aircraft NACA Inlet Based on BP Neural Networks and Genetic Algorithms by Zhimao Li, Changdong Chen, Houju Pei, Benben Kong

“…A new method of integrating the BP neural networks and genetic algorithm is used for structure optimization and is proven effective. …”
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Observation of a rare beta decay of the charmed baryon with a Graph Neural Network by The BESIII Collaboration

“…This article presents the first observation of the Cabibbo-suppressed decay $${\Lambda }_{c}^{+}\to n{e}^{+}{\nu }_{e}$$ Λ c + → n e + ν e , utilizing 4.5 fb−1 of electron-positron annihilation data collected with the BESIII detector. A novel Graph Neural Network based technique effectively separates signals from dominant backgrounds, notably $${\Lambda }_{c}^{+}\to \Lambda {e}^{+}{\nu }_{e}$$ Λ c + → Λ e + ν e , achieving a statistical significance exceeding 10σ. …”
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Fault Diagnosis of Rotating Machinery Based on Convolutional Neural Network and Singular Value Decomposition by Dong Liu, Xu Lai, Zhihuai Xiao, Dong Liu, Xiao Hu, Pei Zhang

“…A novel method of fault diagnosis based on convolutional neural network (CNN), discrete wavelet transform (DWT), and singular value decomposition (SVD) is proposed in this paper. …”
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Experimental assessment of аdversarial attacks to the deep neural networks in medical image recognition by D. M. Voynov, V. A. Kovalev

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Comparison Between Convolutional Neural Network CNN and SVM in Skin Cancer Images Recognition by Zaid Ghazi Hadi, Ahmed R. Ajel, Ayad Q. Al-Dujaili

Subjects: “…Convolutional Neural Networks (CNN)…”
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Prediction of the Styrene Butadiene Rubber Performance by Emulsion Polymerization Using Backpropagation Neural Network by Yan-jiang Jin, Ben-xian Shen, Ruo-fan Ren, Lei Yang, Jun Sui, Ji-gang Zhao

“…The good consistency shows that the BP neural network could predict the product performances in different formula conditions. …”
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Optimized convolutional neural network using African vulture optimization algorithm for the detection of exons by K. Jayasree, Malaya Kumar Hota

Subjects: “…Convolutional neural network (CNN)…”
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A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm by Sanyi Li, Wenjie Hou, Peng Liu, Weichao Yue, Qian Wang

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Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System by Duo Meng

“…An adaptive neural networks chaos synchronization control method is proposed for a four-dimensional energy resource demand-supply system with input constraints. …”
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