Assessing Building Seismic Exposure Using Geospatial Technologies in Data-Scarce Environments: Case Study of San José, Costa Rica by Javier Rodríguez-Saiz, Beatriz González-Rodrigo, Juan Gregorio Rejas-Ayuga, Diego A. Hidalgo-Leiva, Miguel Marchamalo-Sacristán

“…In the case of San José, 7226 buildings were classified into eight typologies using the derived attributes, achieving a classification error of 46%. When the building height—visually sampled—was included, the error decreased significantly to 13%, confirming its importance in typology prediction and emphasizing the need for efficient acquisition strategies. …”
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Sustainable strengthening of concrete deep beams with openings using ECC and Bamboo: An equation and data-driven approach through abaqus modeling and GEP by Fayiz Amin, Ijaz Ali, Ali Husnain, Muhammad Faisal Javed, Hisham Alabduljabbar, Asher Junaid

“…This research offers a data-driven approach to sustainable beam strengthening, emphasizing the optimization of beam depth, concrete strength, and opening size to enhance structural resilience.…”
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Comparative Neutronics Analysis of DIMPLE S06 Criticality Benchmark with Contemporary Reactor Core Analysis Computer Code Systems by Wonkyeong Kim, Jinsu Park, Tomasz Kozlowski, Hyun Chul Lee, Deokjung Lee

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A Unified Framework for Fault and Performance Prediction Using Spatio-Temporal Geometric Features Based on STSFE by Dong-Hyun Kang, A-Youn Yang, Jong-Min Lee, Jong-Gu Lee

“…Experimental results demonstrate that our models outperform existing approaches in terms of classification accuracy, mean absolute error, and tail prediction performance. This research provides a flexible and robust methodology for predictive maintenance across diverse time-series domains in industrial communication networks.…”
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A multimodal retina‐iris biometric system using the Levenshtein distance for spatial feature comparison by Vincenzo Conti, Leonardo Rundo, Carmelo Militello, Valerio Mario Salerno, Salvatore Vitabile, Sabato Marco Siniscalchi

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A Novel PAPR in OTFS Systems Through ISSA-PTS and ISPR Techniques by Gerges Mansour Salama, Amira A. Mohamed, Aziza I. Hussein, M. Mourad Mabrook

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Material management comparison between lot for lot and field actual condition by Atmaja Jajang, Natalia Monika, Masrilayanti, Ramadhani Siraj, Rahmadini Yessa, Sourkan Sulleyman

“…This research was carried out substructure of the Inpres Market Development Project located in Painan, Pesisir Selatan. …”
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A Peridynamics-Smoothed Particle Hydrodynamics Coupling Method for Fluid-Structure Interaction by Chengjie Cao, Chenxu Gu, Chao Wang, Chunhui Wang, Pei Xu, Hui Wang

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Numerical analysis of industrial electrolytic pickling for cold-rolled flat stainless steel using secondary current distribution by Alvaro M. Bossio, Edoardo Basilico, Ruben Gielen, Maarten Blommaert, Jan Fransaer, Martine Baelmans

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Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process by Jinlong Yuan, Jun Xie, Honglei Xu, Enmin Feng, Zhilong Xiu

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Local corner smoothing based on deep learning for CNC machine tools by Bai Jiang, Rong Sun, Ze-long Li, Liang Xu, Huang Liao, Xiao-yan Teng, Bing Li

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Heat treatment control technology of high-strength steel gears based on support vector machine by Yanzhong Wang, Libin Zhang, Yulu Su, Hai Liu, HaiLong Yang, Yanyan Chen

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OpticalTrust: A Sensor-to-Blockchain Framework Using Free-Space Optical Communication by Parveen Bajaj, Aman Kataria, Vikram Puri, Sachin Gupta, Hong Min

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Neural networking-based approach for examining heat transfer and bioconvection in Non-Newtonian fluid with chemical reaction over a stretching sheet by Sohaib Abdal, Talal Taha, Liaqat Ali, Rana Muhammad Zulqarnain, Se-Jin Yook

“…This research investigates the impact of bioconvection and magnetohydrodynamics on Casson-Williamson fluid flow over a stretching surface while considering the effect of heat sources, thermal radiation, and chemical reactions. …”
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Health Monitoring System with Hybrid Laser Sensor Networks and Cloud Computing for Subway Tunnels by Fu-guang Zhu, Dong-sheng Xu, Rui-shan Tan, Bin Peng, He Huang, Zhuo-wen Liu

“…The results of this research could provide useful guidance for tunnel deformation monitoring.…”
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Farmer experiences with goat raising in Lao PDR: implications for improving husbandry and sustaining viable systems by Eoin Liehr, Joanne Millar, Stephen Walkden-Brown, Malavanh Chittavong, Luisa Olmo

“…This paper describes qualitative research on farmer’s motivations, experiences and learning pathways, to improve goat husbandry. …”
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A Novel Tactile Learning Assistive Tool for the Visually and Hearing Impaired with 3D-CNN and Bidirectional LSTM Leveraging Morse Code Technology by Shabana Ziyad Puthu Vedu, May Altulyan, Pradeep Kumar Singh

“…This study aims to develop an assistive tool that bridges the limitations of conventional tactile methodologies by incorporating the latest artificial intelligence techniques, enabling children to learn with greater ease. The research leverages Morse code technology to facilitate communication with deafblind children. …”
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Multi-Color Channel Gamma Correction in Fringe Projection Profilometry by Xiang Sun, Yunpeng Zhang, Lingbao Kong, Xing Peng, Zhenjun Luo, Jie Shi, Liping Tian

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Data-driven seismic mechanical performance evaluation of RC columns based on adaptive optimization ensemble learning method integrating random forest and back propagation neural ne... by Ayong Jiao, Ziqing Jiao, Bin Gao

“…Based on the comparative study of 1101 sets of RC column test data, the model demonstrates high accuracy and generalization ability in evaluating critical seismic mechanical performance. The research results provide a new idea for the efficient evaluation of the seismic performance of RC columns and expand the application potential of ensemble learning in the performance prediction of complex structures.…”
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Effect of Key Parameters on Ploughing Force Performance of Planing-Type Anti-Climbers by Zhuyao Li, Jiyou Fei, Dongxue Song, Hong He, Chang Liu, Chong Zhang

“…The results demonstrate that the model achieves ≤15% relative error compared with the simulation data and ≤5% deviation from the experimental measurements, confirming its engineering applicability. …”
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