Hybrid and optimized neural network models to estimate the elastic modulus of recycled aggregate concrete by Mingke Zheng, Jinzhao Yin, Lei Zhang, Lihua Wu, Hao Liu

“…All in all, the MLPNN model with two numbers of hidden layers with a structure of 17-14-1 optimized with AOA can be proposed as the most appropriate model. …”
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Flow Dynamic Analysis of Core Shooting Process through Experiment and Multiphase Modeling by Changjiang Ni, Gaochun Lu, Tao Jing, Junjiao Wu

“…Two-fluid model (TFM) simulations with turbulence model were then performed and good agreement was achieved between the experimental and simulation results on the flow behavior of sand particles in both the shooting head and the core box. …”
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Numerical Modeling of Reinforcement Solutions in Traditional Stone Masonry Using a Particle Model by Nuno Monteiro Azevedo, Ildi Cismaşiu, Fernando F. S. Pinho, Filipe Neves

“…This paper presents the modeling of traditional Portuguese rubble stone masonry walls, reinforced with external steel mesh, sprayed micro-concrete layers and transverse confinement by steel connectors, which were developed and tested experimentally in uniaxial compression. …”
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FORMATION AND RESEARCH OF MULTI-LAYER COMPOSITE PLASMA OXIDE COATINGS BASED ON ELEMENTS OF SCREEN METEROID PTOTECTION by V. A. Okovity, F. I. Panteleenko, O. G. Devoino, V. V. Okovity, V. M. Astashinsky, P. P. Hramtsov, M. Yu. Chernik, V. V. Uglov, S. B. Sobolevskу

“…Surface of bilayer composite coatings has been processed by a compression plasma stream and due to nonsteady processes of melting and recrystallization high strength polycrystalline layer has been formed on their surface. …”
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A calculation Method for the Ultimate Scour of Gravel-sand Riverbeds Based on the Bed Material Exchange Process by FENG Zhiyi, DENG Anjun, LE Maohua, LV Ruiru, TANG Yao, ZHOU Zijing, FENG Shenghang

“…This study aims to develop a bed surface armoring model for gravel-bed rivers that accounts for suspended load, bedload, and sediment exchange processes, while also enabling the prediction of ultimate scour under conditions of surface armor layer failure and sub-surface fine sediment transport.MethodsBased on probabilistic sediment transport theory and mechanical analysis, a computational model for ultimate scour in gravel-bed rivers was developed. …”
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Egg appearance quality detection based on CNN-SVM model by QI Ge, ZHAO Feng, LI Wanning

“…ObjectiveIn order to improve the accuracy of egg appearance quality detection, an egg appearance quality detection model based on CNN-SVM model was established.MethodsCombined with the adaptive feature extraction capability of CNN and the super-generalization classification capability of SVM, the features of fully connected layers were extracted by six-layer convolutional neural network structure processing, and the CNN-SVM hybrid model was adopted, instead of the traditional CNN + softmax, an egg appearance quality detection method based on CNN-SVM model was proposed.ResultsCompared with SVM model, CNN model and KNN model, CNN-SVM model had better performance in accuracy, precision, recall and F1 score, which were 97.97%, 98.10%, 98.10% and 98.00% respectively. …”
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A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models by Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, Mohammad Lutfi Othman, Mohammad Effendy Ya’acob, Noor Izzri Bin Abdul Wahab, Masoud Ahmadipour

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Secure channel estimation model for cognitive radio network physical layer security using two-level shared key authentication by K. Saravanan, K. B. Gurumoorthy, Allwin Devaraj Stalin, Om Prakash Kumar

“…The security models for sensing and beamforming reduce the impact of adversaries such as eavesdroppers in the signal processing layer. …”
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A Generic Modeling Method of Multi-Modal/Multi-Layer Digital Twins for the Remote Monitoring and Intelligent Maintenance of Industrial Equipment by Maolin Yang, Yifan Cao, Siwei Shangguan, Xin Chen, Pingyu Jiang

“…The DT model contains a multi-modal digital model, a multi-layer status model, and an intelligent interaction model driven by a kind of human-readable/computer-deployable event-state knowledge graph. …”
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Semantic Reasoning Using Standard Attention-Based Models: An Application to Chronic Disease Literature by Yalbi Itzel Balderas-Martínez, José Armando Sánchez-Rojas, Arturo Téllez-Velázquez, Flavio Juárez Martínez, Raúl Cruz-Barbosa, Enrique Guzmán-Ramírez, Iván García-Pacheco, Ignacio Arroyo-Fernández

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Study on the Impact Mitigation Effect of Artificial Rock Backfill Layers for Submarine Pipelines Based on Physical Model Tests and Numerical Simulations by Guixi Jiang, Long Yu, Yunrui Han, Chunhong Hu, Dayong Zhang, Qing Yang

“…Additionally, The FEM-DEM numerical method was used to simulate the dynamic response and interaction process of anchor impact on the rock protection layer and pipeline. …”
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Wind Tunnel Tests and Modeling Analysis of Dynamic Boundary Layer Transition on a Blunt Cone with Continuously Increasing Reynolds Number by Shiyu ZHANG, Yan ZHANG, Jiajian ZHOU, Junbo ZHAO, Zengliang FU, Cheng SU

“…A dynamic boundary layer transition-induced pitching moment model was established, based on the pitching moment of static boundary layer transition and the time delay of boundary layer transition compared with pitching motion, which was measured from wind tunnel tests. …”
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Modeling of the Growth Kinetics of Boride Layers in Powder-Pack Borided ASTM A36 Steel Based on Two Different Approaches by M. Ortiz-Domínguez, O. A. Gómez-Vargas, G. Ares de Parga, G. Torres-Santiago, R. Velázquez-Mancilla, V. A. Castellanos-Escamilla, J. Mendoza-Camargo, R. Trujillo-Sánchez

“…An indispensable tool to choose the suitable process parameters for obtaining boride layer of an adequate thickness is the modeling of the boriding kinetics. …”
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A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery by Zhen-qi LIAO, Yu-long DAI, Han WANG, Quirine M. KETTERINGS, Jun-sheng LU, Fu-cang ZHANG, Zhi-jun LI, Jun-liang FAN

“…A total of 23 spectral features (SFs; five original spectrum bands, 17 vegetation indices and the gray scale of the RGB image) and eight texture features (TFs; contrast, entropy, variance, mean, homogeneity, dissimilarity, second moment, and correlation) were selected as inputs for the models. Six machine learning methods, i.e., multiple stepwise regression (MSR), support vector regression (SVR), gradient boosting decision tree (GBDT), Gaussian process regression (GPR), back propagation neural network (BPNN) and radial basis function neural network (RBFNN), were compared for the retrieval of winter wheat LAI, CPP and CNC values, and a double-layer model was proposed for estimating CNC based on LAI and CPP. …”
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A Multi-Layer Attention Knowledge Tracking Method with Self-Supervised Noise Tolerance by Haifeng Wang, Hao Liu, Yanling Ge, Zhihao Yu

“…In the pre-training stage, MASKT uses a random forest method to filter out positive and negative correlation feature embeddings; then, it reuses noise-processed restoration tasks to extract more learnable features and enhance the learning ability of the model. …”
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SYSTEM ANALYSIS HYDROLITHOSPHERE PROCESSES BESHTAUGORSKY FIELD by V. V. Tsapleva, G. V. Masyutina, S. B. Sizov, T. I. Drovosekova

“…This article describes a systematic analysis hydrolithosphere processes: a mathematical model is developed hydrolithosphere processes Beshtaugorsky field, the mathematical models describing the processes of diffusion of contaminants in ground water that involve the relevant boundary conditions from the operational layer, and also shows the stages of designing distributed control system, the analysis of the closed-loop system.…”
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Fault Diagnostic Method for Pump Running Conditions Based on Process Modeling and Neural Network by T. Uchiyama, S. Kallweit, H. Siekmann

“…The method is a combination of a process modeling and a classification procedure. The pump head and hydraulic losses in the pipe system are modeled by two equations. …”
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Optimization and transfer of robust primary drying protocols for biopharmaceuticals through lyophilization process modeling by Brecht Vanbillemont, Andrea Arsiccio, Tim Menzen, Andrea Hawe

“…This study extended the traditional modeling frameworks by incorporating an uncertainty analysis to account for process variability originating from process parameters and material attributes. …”
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Numerical modelling of rainfall-induced internal erosion process within vegetated deposited slopes by Xiaoqin Lei, Weiyu Zhang, Siming He, Shishu Zhang, Zongji Yang, Changbing Qin, Xiaoqing Chen

“…This paper presents a coupled seepage-erosion model to investigate the rainfall-induced internal erosion process within vegetated deposited slopes and its impact on slope stability. …”
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Biosphere–atmosphere related processes influence trace-gas and aerosol satellite–model biases by E. Sands, R. M. Doherty, F. M. O'Connor, F. M. O'Connor, R. J. Pope, R. J. Pope, J. Weber, D. P. Grosvenor, D. P. Grosvenor

“…</p> <p>The effects of several processes are studied to understand their impacts on satellite–model biases. …”
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