Inversion of Mechanical Parameters of Tunnel Surrounding Rock Based on Improved GWO-BP Neural Network by Chen Zhang, Qiunan Chen, Wenbing Zhou, Xiaocheng Huang

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Convolutional neural network prediction of the particle size distribution of soil from close-range images by Enrico Soranzo, Carlotta Guardiani, Wei Wu

“…In this study, we propose a convolutional neural network approach for predicting the particle size distribution using soil image analysis. …”
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Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

“…While they have achieved some success, these models still face issues such as complexity, high computational cost, and insufficient handling of multivariable nonlinear relationships.MethodsIn light of this, this paper proposes a hybrid deep learning model based on Transformer-Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) to improve the accuracy of climate predictions. …”
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Enhancing Physical Spatial Resolution of Synthetic Aperture Sonar Images Based on Convolutional Neural Network by Pan Xu, Dongbao Gao, Shui Yu, Guangming Li, Yun Zhao, Guojun Xu

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Los códigos neurales de la percepción conciente y la memoria de trabajo by Álvaro Deleglise, Mauricio Cervigni

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Deep Learning Based Dual Channel Banana Grading System Using Convolution Neural Network by Raghavendra S, Souvik Ganguli, P. Thirumarai Selvan, Mitali Madhusmita Nayak, Sushovan Chaudhury, Randell U. Espina, Isaac Ofori

“…The invention of convolutional neural network (CNN) simplified the effort of feature engineering. …”
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Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model by Ruiguo Liu, Xuehui Gao

“…A new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. …”
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Fault Identification of Low-Speed Hub Bearing of Crane Based on MBMD and BP Neural Network by Li-Hong Guo, Lai-Ming Yang, Yan-Feng Peng, Yong Guo

“…Finally, the marked features are input into BP neural network for training and testing to identify the types of bearing fault. …”
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Retracted: Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks by Journal of Mathematics

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SiC MOSFET with Integrated SBD Device Performance Prediction Method Based on Neural Network by Xiping Niu, Ling Sang, Xiaoling Duan, Shijie Gu, Peng Zhao, Tao Zhu, Kaixuan Xu, Yawei He, Zheyang Li, Jincheng Zhang, Rui Jin

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Vehicle Detection Based on Multifeature Extraction and Recognition Adopting RBF Neural Network on ADAS System by Xuewen Chen, Huaqing Chen, Huan Xu

“…Based on the positive and negative sample base of vehicles, the neural network recognizer is trained and learned, which can quickly realize network convergence. …”
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Corrigendum to “Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on Quadrotors” by Jesús Enrique Sierra, Matilde Santos

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A Novel Deep Hybrid Recommender System Based on Auto-encoder with Neural Collaborative Filtering by Yu Liu, Shuai Wang, M. Shahrukh Khan, Jieyu He

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Editorial do n.º normal de dezembro da Revista Online Indagatio Didactica by Filomena Martins, Margarida M. Marques, Gabriela Portugal, Isabel Cabrita

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Automatic Classification of Normal and Cancer Lung CT Images Using Multiscale AM-FM Features by Eman Magdy, Nourhan Zayed, Mahmoud Fakhr

“…In this paper, CAD system is proposed to analyze and automatically segment the lungs and classify each lung into normal or cancer. Using 70 different patients’ lung CT dataset, Wiener filtering on the original CT images is applied firstly as a preprocessing step. …”
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Neural Correlates of Dual-Task Walking: Effects of Cognitive versus Motor Interference in Young Adults by Rainer Beurskens, Fabian Steinberg, Franziska Antoniewicz, Wanja Wolff, Urs Granacher

“…Neural Plasticity…”
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Hybrid metaheuristic artificial neural networks for stock price prediction considering efficient market hypothesis by Milad Shahvaroughi Farahani, Hamed Farrokhi-Asl, Saeed Rahimian

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Physics-Informed Neural Networks for Modal Wave Field Predictions in 3D Room Acoustics by Stefan Schoder

“…The generalization of Physics-Informed Neural Networks (PINNs) used to solve the inhomogeneous Helmholtz equation in a simplified three-dimensional room is investigated. …”
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Fungal and viral entomopathogens as a combined strategy for the biological control of fall armyworm larvae in maize by Juliana Gómez-Valderrama, Paola Cuartas-Otálora, Carlos Espinel-Correal, Gloria Barrera-Cubillos, Laura Villamizar-Rivero

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Laser Welding of Micro-Wire Stent Electrode as a Minimally Invasive Endovascular Neural Interface by Bo Wen, Liang Shen, Xiaoyang Kang

“…Minimally invasive endovascular stent electrodes are an emerging technology in neural engineering, designed to minimize the damage to neural tissue. …”
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