Sand Production Prediction Model for Tight Sandstone Oil Reservoirs by Zhan-dong Li, Hong Pang, Zhong Li, Hai-xiang Zhang, Dian-ju Wang, Ji Li

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Bending Angle Sensor Based on Double-Layer Capacitance Suitable for Human Joint by Daisuke Goto, Yusuke Sakaue, Tatsuya Kobayashi, Kohei Kawamura, Shima Okada, Naruhiro Shiozawa

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Machine learning-based voice assistant: optimizing the efficiency of speech conversion for people with speech disorders by M.H. Antor, N.V. Chudinovskikh, M.V. Bachurin, A.A. Shurpikov, N.A. Khlebnikov, B.A. Bredikhin

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A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale by Khadija Meghraoui, Teeradaj Racharak, Kenza Ait El Kadi, Saloua Bensiali, Imane Sebari

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Advanced ERT techniques for methane potential evaluation in controlled dump sites: A forward modeling approach by Pornchanok Boonsakul, Desell Suanburi, Sirintornthep Towprayoon, Chart Chiemchaisri, Komsilp Wangyao

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Enhancing Solid Oxide Fuel Cell Efficiency Through Advanced Model Identification Using Differential Evolutionary Mutation Fennec Fox Algorithm by Manish Kumar Singla, Jyoti Gupta, Ramesh Kumar, Pradeep Jangir, Mohamed Louzazni, Nimay Chandra Giri, Ahmed Jamal Abdullah Al-Gburi, E. I.-Sayed M. EI-Kenawy, Amal H. Alharbi

“…The sum of the square error of the proposed algorithm is 1.18E-11 followed by the parent algorithm, Fennec fox algorithm (FFA) (1.24E-09), and some of the compared algorithms. …”
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Global air quality index prediction using integrated spatial observation data and geographics machine learning by Tania Septi Anggraini, Hitoshi Irie, Anjar Dimara Sakti, Ketut Wikantika

“…In determining the best scenario, this study considers the R2 value, Root Mean Square Error (RMSE), and uncertainty in each of the scenarios. …”
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Integrating artificial Intelligence-Based metaheuristic optimization with Machine learning to enhance Nanomaterial-Containing latent heat thermal energy storage systems by Ali Basem, Hanaa Kadhim Abdulaali, As’ad Alizadeh, Pradeep Kumar Singh, Komal Parashar, Ali E. Anqi, Husam Rajab, Pancham Cajla, H. Maleki

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Comparative peculiarities of genomic diversity in <i>Gallus gallus domesticus</i> chickens with decorative plumage: the muffs and beard phenotype by N. V. Dementieva, Y. S. Shcherbakov, A. E. Ryabova, A. B. Vakhrameev, A. V. Makarova, O. A. Nikolaeva, A. P. Dysin, A. I. Azovtseva, N. R. Reinbah, O. V. Mitrofanova

“…Petersburg region, Pushkin), and are also included in the Core Shared Research Facility (CSRF) and/or Large­Scale Research Facility (LSRF). …”
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A deep-learning-based consistency test approach for Earth system models on HPC systems by Yangyang Yu, Shaoqing Zhang, Haohuan Fu, Dexun Chen, Yang Gao, Xiaopei Lin, Zhao Liu, Xiaojing Lv

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Uncovering hidden immune defects in childhood granulomatous disorders: a case report by Walter Maria Sarli, Walter Maria Sarli, Francesca Quaranta, Clementina Canessa, Lorenzo Lodi, Laura Pisano, Anna Maria Buccoliero, Teresa Oranges, Elena Sieni, Gabriele Simonini, Gabriele Simonini, Luca Bartolini, Luca Bartolini, Elisabetta Venturini, Luisa Galli, Luisa Galli, Chiara Azzari, Chiara Azzari, Silvia Ricci, Silvia Ricci

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Bearing capacity prediction of open caissons in anisotropic clays utilizing a deep neural network coupled with a population based training approach by Wittaya Jitchaijaroen, Rungroad Suppakul, Mohammad Khajehzadeh, Suraparb Keawsawasvong, Pitthaya Jamsawang, Peem Nuaklong, Fahimeh Ghasemian

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The cognitive cerebellum: linking microstructure to cognitive functions in a healthy population by Nicole Urbini, Carolyn B. McNabb, Derek K. Jones, Craig Hedge, Eirini Messaritaki, Pedro Luque Laguna, Mara Cercignani

“…No significant associations were found between cerebellar GM/WM volumes and cognitive performance after Family Wise Error correction, except for a positive correlation between WM and reaction time (p = 0.023). …”
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Linking Digital Footprint Data into Longitudinal Population Studies by Romana Burgess, Andy Boyd, Oliver Davis, Louise AC Millard, Mark Mumme, Sarah Robertson, Andy Skinner, Zhuoni Xiao, Anya Skatova

“…Results Key methodological challenges identified include privacy and confidentiality concerns,\textbf{ }reliance on third-party platforms, data quality issues like missing data and measurement error. We also emphasize the role of trusted research environments and synthetic datasets in enabling secure, privacy-sensitive data sharing for research. …”
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Metabolites Link Intake of a Healthy Diet to Better Insulin and Glucose Homeostasis in the Microbiome and Insulin Longitudinal Evaluation Study (MILES) by Alexis C Wood, Danielle J Lee, Patricia A Sheridan, Elizabeth T Jensen, Gautam Ramesh, Alain G Bertoni, Stephen S Rich, Yii-Der I Chen, David M Herrington, Jerome I Rotter, Mark O Goodarzi

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Spatiotemporal Variance Image Reconstruction for Thermographic Inspections by Logan M. Wilcox, Emily M. Johnson, Emma T. Bohannon, Catherine E. Johnson, Kristen M. Donnell

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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

“…Gene expression programming (GEP) was used to develop predictive models for shear capacity, providing an interpretable framework for optimizing beam design. Although error analysis indicated areas for further calibration, the GEP models exhibited high predictive accuracy with R² > 0.85 in both training and validation datasets. …”
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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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