Experimental and numerical study on helical piles in aeolian sand: bearing behavior and design methods by Yongping Li, Songzhao Qu, Jing Bai, Dongming Yang, Sangtian Hu, Lefu Di, Ruiyuan Han, Yijin Wu, Yuan Xiang, Dapeng Wang, Yi Zhang, Yonghua Guo, Zhe Zhang

“…This study employs a multi-scale integrated approach combining field tests, numerical simulations, and machine learning to systematically investigate the evolution laws of the bearing behavior of helical anchors. …”
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Bone diagenesis and stratigraphic implications from Pleistocene karst systems by Héctor Del Valle, Alejandro B. Rodríguez-Navarro, Abel Moclán, Paula García-Medrano, Isabel Cáceres

“…Eleven chemometric indices considering the different bone components (phosphates, carbonates, organic phase), together with the apatite unit cell parameters and cell volume were evaluated by 9 machine learning algorithms for bone diagenesis/stratigraphic classification. …”
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Investigating the Impact of Drill Point Angles on the Drilling Behavior of Date Palm Biocomposites: Experimental, ANN, and Taguchi Modeling by Riyadh Benyettou, Salah Amroune, Mohamed Slamani, Mohammad Jawaid, Alain Dufresne, Hassan Fouad, Tarek Bidi

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Planning and Scheduling System for Electric Vehicle Charging by Piotr Palka, Tomasz Sliwinski, Przemyslaw Kaszynski, Marta Kuta, Bogdan Ruszczak, Marcin Malec, Piotr Saluga, Jacek Kaminski

“…Unlike other existing methods, the combination of the aforementioned mixed-integer mathematical optimization model and machine learning predictors allows for consideration of several factors and adaptation to actual data. …”
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BoxesZero: An Efficient and Computationally Frugal Dots-and-Boxes Agent by Xuefen Niu, Qirui Liu, Wei Chen, Yujiao Zheng, Zhanggen Jin

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Quantifying Asymmetric Gait Pattern Changes Using a Hidden Markov Model Similarity Measure (HMM-SM) on Inertial Sensor Signals by Gabriel Ng, Aliaa Gouda, Jan Andrysek

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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…This study presents a machine learning-based approach to forecast Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic network topologies and resource constraints. …”
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Slope stability prediction under seismic loading based on the EO-LightGBM algorithm by Ning Ma, Ning Ma, Yuqi Zhang, Zaizhen Yao

“…The experimental results demonstrate that EO-LightGBM achieves a prediction accuracy of 94.0%, precision of 96.0%, recall of 92.0%, and an F1-score of 96.0%, outperforming traditional machine learning models such as SVM, KNN, and Decision Tree. …”
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Predicting the Damage of Urban Fires with Grammatical Evolution by Constantina Kopitsa, Ioannis G. Tsoulos, Andreas Miltiadous, Vasileios Charilogis

“…Using historical data (casualties, containment time, and meteorological/demographic parameters), GE produces classification rules in human-readable form. …”
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AdapTree: Data-Driven Approach to Assessing Plant Stress Through the AI-Sensor Synergy by Divisha Garg, Harpreet Singh, Yosi Shacham-Diamand

“…The key task addressed was the prediction of stress-related parameters using machine learning. A novel boosting-based ensemble method, AdapTree, combining AdaBoost and decision trees, was proposed to improve predictive accuracy and model interpretability. …”
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ProBoost: Reducing Uncertainty Using a Boosting Method for Probabilistic Models by Fabio Mendonca, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G. Ravelo-Garcia, Mario A. T. Figueiredo

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Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms by Mohd Herwan Sulaiman, Zuriani Mustaffa, Ahmad Salihin Samsudin, Amir Izzani Mohamed, Mohd Mawardi Saari

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Focal Mechanism and Moment Tensor Determination for Tsunami Early Warning Systems: A Literature Study (2018–2024) by Titi Handayani, Wijayanto, Adhi Harmoko Saputro, Mohd Asyraf Zulkifley, Dede Djuhana

“…Focal mechanism and moment tensor are critical parameters for seismology required to be calculated promptly after the location and magnitude of earthquake have been determined. …”
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Cockpit-Llama: Driver Intent Prediction in Intelligent Cockpit via Large Language Model by Yi Chen, Chengzhe Li, Qirui Yuan, Jinyu Li, Yuze Fan, Xiaojun Ge, Yun Li, Fei Gao, Rui Zhao

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Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI by Nisreen Innab, Shtwai Alsubai, Ebtisam Abdullah Alabdulqader, Aisha Ahmed Alarfaj, Muhammad Umer, Silvia Trelova, Imran Ashraf

“…The performance of the proposed model is compared with other machine learning models to show the dominance of the proposed model. …”
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Wheels turning: CHO cell modeling moves into a digital biomanufacturing era by Sandeep Ranpura, Vishwanathgouda Maralingannavar, Alexandra-Gabriela Gheorghe, Edward Ma, James Morrissey, Michael J. Betenbaugh, Deniz Demirhan

“…In parallel, to achieve the Industry 4.0 vision of digitalization and machine learning techniques are finding wider adoption in biopharmaceutical development. …”
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Hybrid Intelligence approach to study post-processing impact on the mechanical performance of notched additively manufactured AlSi10Mg by Erfan Maleki, Sara Bagherifard, Okan Unal, Mario Guagliano

“…AI identified patterns and developed predictive models that provided deeper insights into how process parameters affect material properties and performance. …”
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Power Assessment and Performance Comparison of Wind Turbines Driven by Multivariate Environmental Factors by Bubin Wang, Bin Zhou, Denghao Zhu, Mingheng Zou, Zhao Rao, Haoxuan Luo, Weihao Ji

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INTEGRATING ACOUSTIC MODULATION AND LISTENER DEMOGRAPHICS FOR ENHANCED PODCAST EMOTIONAL RESONANCE by Jun Ji, Kotchaphan Youngmee, Khachakrit Liamthaisong, Narisara Brikshavana

“…The underlying framework combines analytical methods, computational modelling, and machine learning in order to systematically enhance audio quality and consequently increase listener engagement.  …”
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Monte Carlo simulation of a novel medical linac concept for highly conformal x-ray FLASH cancer radiotherapy by Deae-eddine Krim, Brendan Whelan, Mindy Harkness, Karl Otto, Billy W Loo, Magdalena Bazalova-Carter

“…A simulation framework was developed to facilitate iteration of machine parameters during optimization. A treatment plan for a case of locally advanced lung cancer was generated using an in-house optimizer to assess the capabilities of the x-ray UHDR system. …”
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