Artificial neural network based delamination prediction in composite plates using vibration signals by T. G. Sreekanth, M. Senthilkumar, S. Manikanta Reddy

“…In this research work, the supervised feed-forward multilayer back-propagation Artificial Neural Network (ANN) is used to determine the position and area of delaminations in GFRP plates using changes in natural frequencies as inputs. …”
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SINGLE-POSITION DAMAGE DETECTION BASED ON WAVELET PACKET TRANSFORM AND REPLICATOR NEURAL NETWORK by ZHANG Xiang, CHEN RenWen

Subjects: “…Replicator Neural Network（RNN）…”
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Neural network wind speed prediction based on multiple prediction model and nonlinear combination by Jiajun WANG, Wei CAO, Guilong ZHANG, Huaizhi ZHANG, Zixing LING, Xiaoqiang ZHAO

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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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Application of GA-ACO Optimized BP Neural Network in Fault Diagnosis of Planetary Gearbox by Chang Gao, Zhongqing Yu, Qiang Zhou

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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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Pitting Detection and Characterization From Ultrasound Timelapse Images Using Convolutional Neural Networks by Magnus Wangensteen, Tonni Franke Johansen, Ali Fatemi, Erlend Magnus Viggen, Lars Eidissen Haugan

“…A classification neural network was trained to detect the presence of drilled holes, and a separate regression network was trained to estimate the hole depth. …”
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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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Deep Neural Networks With Convolutional and LSTM Layers for SYM‐H and ASY‐H Forecasting by Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid

“…Their resolution, along with their relation to the solar wind parameters, makes the forecasting of the geomagnetic indices a problem that can be addressed through the use of Deep Learning, particularly using Deep Neural Networks (DNNs). In this work, we present two DNNs developed to forecast respectively the SYM‐H and ASY‐H indices. …”
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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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RETRACTED: Infusion extraction and measurement on CT images based on computer vision and neural network by Hamad Yousif A., Alekhina Anna, Pleshkova Tatiana, Shestakova Olga

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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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