An Output-Recurrent-Neural-Network-Based Iterative Learning Control for Unknown Nonlinear Dynamic Plants by Ying-Chung Wang, Chiang-Ju Chien

“…We present a design method for iterative learning control system by using an output recurrent neural network (ORNN). Two ORNNs are employed to design the learning control structure. …”
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Retracted: Supply Capability Evaluation of Intelligent Manufacturing Enterprises Based on Improved BP Neural Network by Journal of Mathematics

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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

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State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks by Li Zhang, Min Zheng, Dajun Du, Yihuan Li, Minrui Fei, Yuanjun Guo, Kang Li

“…Simulation results show that generalization error of SOC estimation using the novel RBF neural network model is less than half of that using other methods. …”
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Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile by Naftali Goldshleger, Alexandra Chudnovsky, Eyal Ben-Dor

“…The spectral properties of the crust formed on the soil surface were analyzed using an artificial neural network (ANN). Results were compared to a study with the same population in which partial least-squares (PLS) regression was applied. …”
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IL-6-Inducing Peptide Prediction Based on 3D Structure and Graph Neural Network by Ruifen Cao, Qiangsheng Li, Pijing Wei, Yun Ding, Yannan Bin, Chunhou Zheng

“…In this study, we propose a novel IL-6-inducing peptide prediction method called DGIL-6, which integrates 3D structural information with graph neural networks. DGIL-6 represents a peptide sequence as a graph, where each amino acid is treated as a node, and the adjacency matrix, representing the relationships between nodes, is derived from the predicted residue contact graph of the peptide sequence. …”
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Classification of Strawberry Maturity Stages and Varieties Using Neural Networks Based on Volatile Organic Compounds by Jing Huang, Xuenan Zhang, Hang Yang, Zhenbiao Li, Zhengfang Xue, Qingqing Wang, Xinyuan Zhang, Shenghua Ding, Zisheng Luo, Yanqun Xu

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Rolling-Element Bearing Fault Data Automatic Clustering Based on Wavelet and Deep Neural Network by Yanli Yang, Peiying Fu

“…A method based on wavelet and deep neural network for rolling-element bearing fault data automatic clustering is proposed. …”
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An Unconventional Approach for Analyzing the Mechanical Properties of Natural Fiber Composite Using Convolutional Neural Network by Govindaraj Ramkumar, Satyajeet Sahoo, G. Anitha, S. Ramesh, P. Nirmala, M. Tamilselvi, Ram Subbiah, S. Rajkumar

“…The developed convolutional neural network (CNN) is used to accurately predict the mechanical properties of these composites. …”
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Influence of Training Set Selection in Artificial Neural Network-Based Propagation Path Loss Predictions by Ignacio Fernández Anitzine, Juan Antonio Romo Argota, Fernado Pérez Fontán

“…This paper analyzes the use of artificial neural networks (ANNs) for predicting the received power/path loss in both outdoor and indoor links. …”
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Combining Convolutional Neural Network (CNN) and Grad-CAM for Parkinson’s Disease Prediction and Visual Explanation by Reyhaneh Dehghan, Marjan Naderan, Seyed Enayatallah Alavi

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Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks by Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy

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Uji Parameter dan Arsitektur Convolutional Neural Network untuk Mendeteksi Citra Wajah Bermasker by Dewi Novita Sari, Muh. Arif Rahman, Randy Cahya Wihandika

“…Citra wajah bermasker digunakansebagai data masukan dengan proses deteksi menggunakan Convolutional Neural Network (CNN). Deteksi citra wajah bermasker telah banyak dilakukan dengan berbagai bentuk arsitektur model, akan tetapi tidak disertai dengan penjelasan dari pemilihan parameter yang digunakan. …”
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HandSegNet: Hand segmentation using convolutional neural network for contactless palmprint recognition by Koichi Ito, Yusei Suzuki, Hiroya Kawai, Takafumi Aoki, Masakazu Fujio, Yosuke Kaga, Kenta Takahashi

“…In this study, HandSegNet, which is a hand segmentation method using Convolutional Neural Network (CNN) for contactless palmprint recognition, is proposed. …”
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Retracted: Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network by International Journal of Antennas and Propagation

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Retracted: Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model by Journal of Function Spaces

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Global Stability of Almost Periodic Solution of a Class of Neutral-Type BAM Neural Networks by Tetie Pan, Bao Shi, Jian Yuan

“…A class of BAM neural networks with variable coefficients and neutral delays are investigated. …”
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Probe Selection and Power Weighting in Multiprobe OTA Testing: A Neural Network-Based Approach by Yong Li, Hao Sun, Xingyu Chen, Lijian Xin, Xiang Zhang

“…In this paper, a novel approach based on neural networks (NNs) is proposed to derive suitable angular locations as well as power weights of OTA probe antennas; in particular, by using the regularization technique, active probe locations and their weights can be optimized simultaneously with only one training process of the proposed NN. …”
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Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses by Nina Huo, Yongkun Li

“…This paper is concerned with quaternion-valued shunting inhibitory cellular neural networks (QVSICNNs) with distributed delays and impulses. …”
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SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography by Hua Wang, Jingfei Hu, Jicong Zhang

“…Early and accurate diagnosis of glaucoma is critical for avoiding human vision deterioration and preventing blindness. A deep-neural-network model has been developed for the diagnosis of glaucoma based on Heidelberg retina tomography (HRT), called “Seeking Common Features and Reserving Differences Net” (SCRD-Net) to make full use of the HRT data. …”
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