Evaluation of the elastic modulus of pavement layers using different types of neural networks models by M. M.M. Elshamy, A. N. Tiraturyan, E. V. Uglova

“…This paper studies the capability of different types of artificial neural networks (ANN) to predict the modulus of elasticity of pavement layers for flexible asphalt pavement under operating conditions. …”
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Evaluation of the Stability of Loess Slopes by Integrating a Knowledge Graph and Dendrogram Neural Network by Yu Xiao, Tianxiao Yan, Yueqin Zhu, Dongqi Wei, Jinyuan Mao, Depin Ou

“…The methodology progresses through three phases: (1) construction of a multi-domain knowledge graph integrating a large number of loess slopes with historical disaster records, instability factor relationships, and empirical parameter correlations; (2) generation of expressive node embeddings capturing inherent connections via graph neural networks; (3) development and training of the GNN-TreeNet architecture that leverages the graph’s enhanced representation capacity for stability evaluation. …”
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Mean-reverting self-excitation drives evolution: phylogenetic analysis of a literary genre, waka, with a neural language model by Takuma Tanaka

“…Phylogenetic networks were constructed on the basis of the vector representation obtained using a neural language model. …”
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Construction Delays Due to Weather in Cold Regions: A Two-Stage Structural Equation Modeling and Artificial Neural Network Approach by Atul Kumar Singh, Faizan Anjum, Pshtiwan Shakor, Varadhiyagounder Ranganathan Prasath Kumar, Sathvik Sharath Chandra, Saeed Reza Mohandes, Bankole Awuzie

“…Significant weather-induced delays often plague construction projects in India’s extremely cold regions, yet comprehensive studies addressing this issue remain scarce. …”
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adm: An R package for constructing abundance‐based species distribution models by Admir Cesar deOliveira Junior, Santiago José Elías Velazco

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An Evaluation on Investment of Research Funds with a Neural Network Algorithm in “Double First-Class” Universities by Jihong Sun, Yahui Li, Xiaoyun Zhao, Nanxing Zhang

“…Seventy-two universities were investigated from 2013 to 2017. Second, an evaluation system was constructed using the BP (backpropagation) neural network method and its applicability was verified. …”
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Dynamic Simulation and Comprehensive Quantitative Evaluation of Rural Tourism Core Competitiveness Based on Neural Network by Shiyuan Gan

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Infliximab monitoring in Crohn’s disease: a neural network approach for evaluating disease activity and immunogenicity by Luis Eduardo Miani Gomes, Livia Moreira Genaro, Marina Moreira de Castro, Renato Lazarin Ricci, Livia Bitencourt Pascoal, Filipe Botto Crispim Silva, Pedro Henrique Leite Bonfitto, Michel Gardere Camargo, Ligiana Pires Corona, Maria de Lourdes Setsuko Ayrizono, Anibal Tavares de Azevedo, Raquel Franco Leal

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Physics-Informed Neural Networks: A Review of Methodological Evolution, Theoretical Foundations, and Interdisciplinary Frontiers Toward Next-Generation Scientific Computing by Zhiyuan Ren, Shijie Zhou, Dong Liu, Qihe Liu

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A model for shale gas well production prediction based on improved artificial neural network by LIN Hun, SUN Xinyi, SONG Xixiang, MENG Chun, XIONG Wenxin, HUANG Junhe, LIU Hongbo, LIU Cheng

“…Moreover, the model exhibits superior prediction accuracy and stability compared to the traditional BP（error backpropagation algorithm） neural network model. With its high accuracy and reliability, the proposed model can provide valuable support for fracturing optimization design and productivity evaluation in shale gas reservoirs.…”
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Effect of Different Temperature and Humidity Storage Conditions on the Quality of Fresh Macadamia Nuts and the Construction of A Backpropagation Neural Network Prediction Model by Jiarong FU, Shangxuan MA, Yuexue YANG, Wenting XU, Xiuhua LAN, Yuanmiao WEI, Kechang HUANG, Xiyong HE, Gangjun GUO

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Construction of teaching quality evaluation model of online dance teaching course based on improved PSO-BPNN by Jin Ben, Li Hanwen

“…On this basis, the network dance teaching quality evaluation model based on back-propagation neural network is constructed. …”
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Optimal Design of Gain-Flattened Raman Fiber Amplifiers Using a Hybrid Approach Combining Randomized Neural Networks and Differential Evolution Algorithm by Jing Chen, Hao Jiang

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A Hybrid Neural Networks-Coevolution Genetic Algorithm for Multi Variables Robust Design Problem in Quality Engineering by محمد رضا مهرگان, علیرضا فراست

“…The proposed algorithm comprises neural networks (NNs) and co-evolution genetic algorithm (CGA) in which neural networks are as a function approximation tool used to estimate a map between process variables. …”
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THE EVALUATION SYSTEM OF DESIGN SOLUTIONS FOR RESIDENTIAL PROPERTY ON THE PRE-INVESTMENT STAGE THROUGH NEURAL NETWORK TECHNOLOGY by G. D. Kostsikava, G. V. Zemliakov

“…Very urgent to do it as accurately as possible and before we start of design works on the stage of the investment plan evaluation. Belarus has legislated pre-investment stage of construction project development. …”
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The use of an artificial neural network in the evaluation of the extracorporeal shockwave lithotripsy as a treatment of choice for urinary lithiasis by Athanasios Tsitsiflis, Yiannis Kiouvrekis, Georgios Chasiotis, Georgios Perifanos, Stavros Gravas, Ioannis Stefanidis, Vassilios Tzortzis, Anastasios Karatzas

“…In this study, we constructed an ANN to evaluate several parameters of extracorporeal shockwave lithotripsy (ESWL), such as the outcome and safety of the procedure. …”
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Prediction Analysis of Pre-Camber for Continuous Girder Bridge Cantilever Casting Construction Based on DBO-CNN-BiLSTM-Attention Neural Network by Jinyang Zhang, Haiqing Liu, Xiangen Gong, Ming Lei, Zimu Chen

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Spatio-Temporal Evolution, Factors, and Enhancement Paths of Ecological Civilization Construction Effectiveness: Empirical Evidence Based on 48 Cities in the Yellow River Basin of... by Haifa Jia, Pengyu Liang, Xiang Chen, Jianxun Zhang, Wanmei Zhao, Shaowen Ma

“…This study employs the entropy-weighted Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Back-Propagation (BP) neural network methods to evaluate the level of ecological civilization construction in the Yellow River Basin from 2010 to 2022, to analyze its indicator weights, and to explore the spatio-temporal evolution characteristics of each city. …”
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Research on wheelchair form design based on Kansei engineering and GWO-BP neural network by Weilin Cai, Zhengyu Wang, Yi Wang, Meiyu Zhou

“…This study proposes a wheelchair form design method based on the Kansei engineering approach, which integrates the evaluation grid method (EGM), grey wolf optimization (GWO) algorithm, and back propagation neural network (BPNN) technology. …”
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Cost Estimation of Construction Projects under Risk and Cost-Influencing Factors by Mohammad Sheikhalishahi, Mahshid Yadegari, Emran Eshgheelahi

“…Data envelopment analysis (DEA) is used to ascertain the most influential factors and risks on the total project cost. Data from 48 construction projects are collected, and DEA is effectively employed to evaluate the factors. …”
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