A Surrogate Model for the Rapid Prediction of Factor of Safety in Slopes with Spatial Variability by Xitailang Cao, Shan Lin, Miao Dong, Quanke Hu, Hong Zheng

“…While traditional numerical methods combined with Monte Carlo simulations and Gaussian random field theory provide accurate stability analysis, their high computational cost makes them impractical for large-scale engineering applications. To address this issue, this study proposes an efficient surrogate modeling approach for the rapid prediction of the factor of safety in slopes while considering the spatial variability of geotechnical parameters. …”
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An Optimization Model for Harmonic Parameters Estimation of Transmission Lines Using Phasor Measurements by Leticia L. S. de Sousa, Igor D. Melo, Carlos A. Duque, Candida A. Meneghin, Paulo F. Ribeiro

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Segmentation-Based Detection for Luffa Seedling Grading Using the Seg-FL Model by Sheng Jiang, Fangnan Xie, Jiangbo Ao, Yechen Wei, Jingye Lu, Shilei Lyu, Zhen Li

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Enhancing lung cancer detection through integrated deep learning and transformer models by Revathi Durgam, Bharathi Panduri, V. Balaji, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan

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Modeling and Analysis of a Piezoelectric Energy Harvester with Varying Cross-Sectional Area by Maiara Rosa, Carlos De Marqui Junior

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Leveraging long context in retrieval augmented language models for medical question answering by Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng

“…Specifically, we propose a map-reduce strategy, BriefContext, to combat the “lost-in-the-middle” issue without modifying the model weights. We demonstrated the advantage of the workflow with various LLM backbones and on multiple QA datasets. …”
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Comprehensive modelling of ferrofluids via dual dissipation mechanisms for multiplexed thermal activation by Mingu Song, Dowoo Kim, Junte Heo, Daerl Park, Jaehyun Kim, Man Seung Heo, Heon-Jin Choi

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Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving by Xiaohua Gu, Taifu Li, Zhiqiang Liao, Liping Yang, Ling Nie

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Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction by Jamal Abdulrazzaq Khalaf, Abeer A. Majeed, Mohammed Suleman Aldlemy, Zainab Hasan Ali, Ahmed W. Al Zand, S. Adarsh, Aissa Bouaissi, Mohammed Majeed Hameed, Zaher Mundher Yaseen

“…Accurate and reliable prediction of Perfobond Rib Shear Strength Connector (PRSC) is considered as a major issue in the structural engineering sector. Besides, selecting the most significant variables that have a major influence on PRSC in every important step for attaining economic and more accurate predictive models, this study investigates the capacity of deep learning neural network (DLNN) for shear strength prediction of PRSC. …”
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Bond Graph Modeling and Validation of an Energy Regenerative System for Emulsion Pump Tests by Yilei Li, Zhencai Zhu, Guoan Chen

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Evaluating AI-Generated Language as Models for Strategic Competence in English Language Teaching by Phuong-Anh Nguyen

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Three-Impulse Model for Spacecraft to Avoid Space Debris and Return to the Original Orbit by Ming Wen, Shaozhao Lu, Yao Zhang, Hongbo Wang, Ji Ye

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Frequency Scanning-Based Dynamic Model Parameter Estimation: Case Study on STATCOM by Hyeongjun Jo, Juseong Lee, Soobae Kim

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Modeling and Characteristic Test for a Crank-Connecting Rod Mem-Inerter Device by Xiao-Liang Zhang, Ya-Lin Chen, Jia-Mei Nie, Wei-An Zhu

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Microscopic characteristics and corrosion rate modeling in galvanized high-strength steel wires by Haiping Zhang, Haojie Liu, Fanghuai Chen, Yuan Luo, Xinhui Xiao, Yang Deng, Naiwei Lu, Yang Liu

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Medical image segmentation model based on local enhancement driven global optimization by Lianghui Xu, Ayiguli Halike, Gan Sen, Mo Sha

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Prediction of Propellant Electrostatic Sensitivity Based on Small-Sample Machine Learning Models by Fei Wang, Kai Cui, Jinxiang Liu, Wenhai He, Qiuyu Zhang, Weihai Zhang, Tianshuai Wang

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Detecting LNAPL migration in real time using electrical resistivity and statistical models by Ola Tareq al-Hussain, Harris Ramli, Mohammed J. Al-Haidarey, Hayder Yasir Naser

“…Non-linear regression models—logarithmic, quadratic, and power—were applied to analyze the relationship between ER and LNAPL concentration. …”
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Bankruptcy forecasting in enterprises and its security using hybrid deep learning models by Akshat Gaurav, Brij B. Gupta, Shavi Bansal, Konstantinos E. Psannis

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VFQB: A Novel Deep Learning Model for Rolling Bearing Fault Diagnosis by Zhiru Xiao, Yanfang Xu, Junjie Cui

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