A novel graph modeling method for GNN-based hypersonic aircraft flow field reconstruction by Qiao Li, Xingchen Li, Xiaoqian Chen, Wen Yao

“…Furthermore, our approach has been validated in the reconstruction of hypersonic aircraft flow fields for at least 10% error reduction among all the situations.…”
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Collaborative Control of Virtual Formation Trains Based on Event Triggering Mechanism by WEI Wenjing, XIAO Baodi, YUE Lili, LI Maoqing, LIN Junting

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Machine learning-based forecasting of ground surface settlement induced by metro shield tunneling construction by Qiankun Wang, Chuxiong Shen, Chao Tang, Zeng Guo, Fangqi Wu, Wenyi Yang

“…Abstract Urban rail transit systems, represented by subways, have significantly alleviated the traffic pressure brought by urbanization and have addressed issues such as traffic congestion. …”
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Validation of Gas-liquid Flow Maps Using Chemical Thermodynamic Simulation by Luigi Raimondi

“…The seminal study titled “A Model for Predicting Flow Regime Transitions in Horizontal and near Horizontal Gas-Liquid Flow” was published by Taitel and Dukler in 1976. …”
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Implementation of Fuzzy Time Series Markov Chain Method to Predict Electricity Consumption in Aceh Province by Virza Gavinda, Nurdin Nurdin, Fajriana Fajriana

“…The FTSMC method combines fuzzy time series modeling with Markov chain state transitions, allowing for effective handling of uncertainty in time series data. …”
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Influences of parental intimacy and self-disclosure on dyadic coping among parents raising school-aged children diagnosed with autism spectrum disorder by Bing Xie, Dang Ma, Jin-Wei Feng, Xue-Rui Sun, Yan-Qiong Ou-Yang, Ya-Nan Xu

“…These results offer important insights into how married couples can safeguard their relationship during their child’s health-related transitions.…”
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Conversion to Variable Flow Rate—Advanced Control of a District Heating (DH) System with a Focus on Operational Data by Stanislav Chicherin

“…A combination of flow rate adjustments, bypass line implementation, and selective control strategies for transitional seasons (fall and spring) was modeled and analyzed. …”
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Multiscale Physics of Atomic Nuclei from First Principles by Z. H. Sun, A. Ekström, C. Forssén, G. Hagen, G. R. Jansen, T. Papenbrock

“…Our calculations accurately reproduce—within theoretical error bars—available experimental data for low-lying collective states and the electromagnetic quadrupole transitions in ^{20−30}Ne. …”
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Deformation pressure calculation method for shallow four-track high-speed rail tunnels: A field investigation and theoretical approach by Jianfei Ma, Shaohui He, Xiabing Liu, Jiaxin He

“…Conventional calculation methods for rock pressure, typically designed for deep tunnels, are ill-suited for shallow four-track high-speed rail (HSR) tunnels owing to their expansive span, more elongated cross-section, and the intricate construction stress transitions. This study seeks to establish a novel calculation method for determining deformation pressure in these tunnels. …”
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Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…The empirical results show that the GGBERO-optimized BIGRU model produced a Mean Squared Error (MSE) of 1.0 × 10⁻⁵, the best tested approach. …”
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Multi-Agent Deep Reinforcement Learning for Integrated Demand Forecasting and Inventory Optimization in Sensor-Enabled Retail Supply Chains by Yongbin Yang, Mengdie Wang, Jiyuan Wang, Pan Li, Mengjie Zhou

“…The results show particular improvements in handling promotional events and seasonal transitions, where traditional methods often struggle. …”
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Improving Weakly-Supervised Video Instance Segmentation by Leveraging Spatio-Temporal Consistency by Farnoosh Arefi, Amir M. Mansourian, Shohreh Kasaei

“…By minimizing the mean absolute error between the eigenvalues of adjacent frames, this loss function promotes smooth transitions and stable segmentation boundaries over time, reducing temporal discontinuities and improving overall segmentation quality. …”
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Precision Agriculture for Dragon Fruit: A Novel Approach Based on Nighttime Light Remote Sensing by Tianhao Zhan, Xiaosheng Liu, Liang Zhong

“…The spatial expansion of cultivation areas exhibited an initial growth phase followed by stabilization, whereas production distribution transitioned from expansion to aggregation, maintaining an overall upward trend. …”
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Optimized Predictive Coverage by Averaging Time‐Windowed Bayesian Distributions by Han‐Fang Hsueh, Anneli Guthke, Thomas Wöhling, Wolfgang Nowak

“…Thus, it obtains so‐called transitional posteriors per time window. Then, we average these into a wider predictive posterior. …”
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Drive-by damage detection based on the use of CWT and sparse autoencoder applied to steel truss railway bridge by Lorenzo Bernardini, Francesco Morgan Bono, Andrea Collina

“…Starting from the average curve of the computed wavelet coefficients, bridge health status is assessed through the use of a sparse autoencoder exploiting multiple train transits and two different damage indices. First of all the Hotelling’s statistic computed at the latent space level, and, secondly, the batch mean absolute reconstruction error. …”
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Violencia masiva patrocinada por el Estado. Responsabilidad criminal y "reconciliación" by Jean-Michael Simon

“… * Nota: Debido que la traducción es automática podrá ser inexacta o contener errores. …”
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Robust control of a compliant manipulator with reduced dynamics and sliding perturbation observer by Muhammad Salman, Zhenwei Niu, Rajmeet Singh, Lochan Kshetrimayum, Irfan Hussain

“…For abrupt stiffness transitions (lowest–highest–lowest), the proposed controller reduces energy consumption by up to 70.9% compared to traditional controllers. …”
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Ecological footprint analysis as a tool for advancing sustainable development goals (SDGs): Evidence from China by Jie Wu, Haozhe Yu, Ning Cao, Jing Zhang, Jawad Khan, David lee

“…Using time series data from 1995 to 2023, the study applies a Vector Error Correction Model (VECM), Autoregressive Distributed Lag (ARDL) analysis, and Fully Modified Ordinary Least Squares (FMOLS) to capture both long-term equilibrium and short-run dynamics. …”
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Anomaly Detection for PV Modules Using Multi-Modal Data Fusion in Aerial Inspections by Lourenco Sousa Pinho, Tiago Daniel Sousa, Celso D. Pereira, Andry M. Pinto

“…Solar energy is a compelling and growing avenue for transitioning towards reliance on sustainable and environmentally friendly energy sources. …”
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Robust Forward-Looking Sonar-Image Mosaicking Without External Sensors for Autonomous Deep-Sea Mining by Xinran Liu, Jianmin Yang, Changyu Lu, Enhua Zhang, Wenhao Xu

“…For image fusion, a radial adaptive fusion algorithm with a protective frame is proposed to improve edge transitions and preserve structural consistency in the resulting panoramic image. …”
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