A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones by Mohamed Abdellatief, Mahmoud E. Abd-Elmaboud, Mohamed Mortagi, Ahmed M. Saqr

“…Results demonstrated CNN’s superiority, achieving a coefficient of determination (R2) = 0.849 and a lower root mean square error (RMSE) = 0.18%, outperforming conventional models. …”
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Numerical simulation of bearing capacity of aeolian sand-gabion by Zhiyi ZHANG, Bo ZHAO, Weiming GUAN, Chunmei CHU, Deyu QIAN

“…Taking Aeolian sand backfilling cages as the research object, the bearing capacity was studied through uniaxial compression experiments, numerical simulation experiments, and theoretical analysis. …”
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Modelling off-stream reservoir using rainfall-runoff transformation and satellite rainfall data in Liliba and Manikin watersheds of Indonesia

“…The statistical requirements for calibration and validation include the coefficient of determination (R2 > 0.40), Nash-Sutcliffe Efficiency (NSE >0.40), root mean square error (RMSE)-standard deviation ratio of research data, or RSR (<0.70), and percent bias (PBIAS <30). …”
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Envelope and intelligent prediction of horizontal bearing capacity for offshore wind monopiles in sandy seabed under HM combined loading by Xin-Yu You, Shi-Yi Qian, Bin Li, Jun Wang, Ling-Yu Xu

“…Using L/D ratio, seabed slope, horizontal displacement and rotation angle at the monopile head as inputs, the ANN successfully predicts the horizontal bearing capacity with error margins within ±10%. This research offers a practical, validated finite element and ANN-based approach for modeling and predicting the lateral bearing capacities of monopiles in complex offshore environments, making it a valuable tool for the construction and measurement of offshore wind turbine foundations under HM loading conditions.…”
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The comparison of the rate of apical displacement in curved root canals using Neoniti and RaCe files by cone beam CT Scan by Mostafa godiny, Nafiseh Nikkerdar, Reza Hatam, Leila Shahsavand, Atefeh Khavid

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Assessment of the possibility of forecasting hydrometeorological extremes using the solar activity index by Miskevich I.V., Kotova E.I.

“…The paper presents the results of research of correlation fields of the relationship between Wolf number and hydrometeorological parameters (air and water temperature, annual precipitation, snow cover height) for a number of points in the western sector of the Russian Arctic (Norilsk, Indiga, Unsky Mayak, Kholmogory). …”
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Deep Learning Framework for Predicting Transonic Wing Buffet Loads Due to Structural Eigenmode-Based Deformations by Rebecca Zahn, Moritz Zieher, Christian Breitsamter

“…As a test case, the NASA Common Research Model (CRM) configuration for the transonic buffet condition is applied. …”
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OFDM Signal Processing and Analysis in the Presence of Noise Using Wavelet Transform for Temporal Synchronization by V. V. Egorov, D. M. Klionskiy

“…The radio communication problem should ensure an error-free signal transmission via a radio channel at a maximum possible transmission rate. …”
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Multi-objective optimization of wear parameters of hybrid composites (LM6/B4C/fly ash) using grey relational analysis. by Charles Sarala Rubi, Jayavelu Udaya Prakash, Sunder Jebarose Juliyana, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr

“…The responses have a narrow margin of error, according to confirmation studies. There exists a good agreement between them.…”
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Impact of Inter-Modular Connections on Progressive Compressive Behavior of Prefabricated Column-Supported Volumetric Modular Steel Frames by Kejia Yang, Kashan Khan, Yukun Yang, Lu Jiang, Zhihua Chen

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Clima organizacional-laboral-GAP y su influencia sobre la productividad en área de especialización en Corporativo-Hulero,Chihuahua by Oscar Alejandro Viramontes-Olivas, María del Rosario de Fátima Alvídrez-Díaz, Marcelino Fraire-Rodríguez, José René Arroyo-Ávila

“…A sample of 152 of the total of 250 workers was obtained with a Confidence Level (95%) and error (5%). The variables measured for Competence Performance were: Responsiveness-orientation, Ord-cal attention. …”
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Improving Model Robustness With Frequency Component Modification and Mixing by Hyunha Hwang, Se-Hun Kim, Kyujoong Lee, Hyuk-Jae Lee

“…Numerous studies have been conducted to improve model robustness in the frequency domain. However, research that simultaneously addresses safety metrics, such as corruption, adversaries, consistency, and calibration, is lacking. …”
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An improved GRU method for slope stress prediction by Lichun Bai, Ronghui Zhao, Sen Lin, Zishu Chai, Xuan Wang

“…Stress variation is a significant influencing factor in the occurrence of landslide disasters and is also a key research focus in landslide early warning and risk assessment. …”
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Robust zero-watermarking for color images using hybrid deep learning models and encryption by Hager A. Gharib, Noha M. M. Abdelnapi, Khalid M. Hosny

“…The extracted watermark maintains a low Bit Error Rate (BER) and a high Normalized Cross-Correlation (NCC). …”
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Applying the greenhouse gas inventory calculation approach to predict the forest carbon sink by Fredric Mosley, Jari Niemi, Sampo Soimakallio

“…The tool can replicate forest GHG balances for forest land with an average annual error of 1.0 Mt CO2, representing 4% of the average annual forest carbon sink. …”
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Evaluation of a body height and weight harmony among university students by Stanislaw B. Nowak, Ihor P. Zanevskyy

“…A harmony between the body weight and height is one of the most important sign of the right body composition. The aim of this research was to compare objective and subjective evaluations of the body weight and height correlation by university students. …”
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Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System by Shing-Hong Liu, Bo-Yan Wu, Xin Zhu, Chiun-Li Chin

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The Role of Microbial Exopolysaccharides in Preventing and Treating Cardiovascular Diseases by Enrique A. Sanhueza-Carrera, Cassiopeia Cantero-Ramírez, Angel D. Montijo-Valdés, Cinthya G. Rodríguez-Valladares, Cynthia Fernández-Lainez, Itzhel García-Torres, Pedro Gutiérrez-Castrellón, José F. González-Zamora, Gabriel López-Velázquez

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Improved rainfall and temperature satellite dataset in areas with scarce weather stations data: case study in Ancash, Peru by Eduardo E. Villavicencio, Katy D. Medina, Edwin A. Loarte, Hairo A. León

“…In this study, we focused on improving existing satellite products for these areas, using Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM) data for rainfall and Modern Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) data for air temperature. …”
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Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites by Feng Bin, Shahab Hosseini, Jie Chen, Pijush Samui, Hadi Fattahi, Danial Jahed Armaghani

“…Our results indicate that the SCA-RF model achieved a superior performance with a root mean square error (RMSE) of 1.562 and a coefficient of determination (R²) of 0.987, compared to the HHO-RF model, which obtained an RMSE of 1.742 and an R² of 0.982. …”
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