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

“…These sparse graphs are then integrated with learnable weights optimized by automatic differentiation. Our method has been tested on an open-source turbulence dataset, the two components of graph pruning and weight optimization bring about 34% and 10% improvements on average. …”
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Machine learning of automatic hierarchical multi-label classification method for identifying metal failure mechanisms by Ruitong Han, Chang-Bo Liu, Wanting Sun, Shuai Yu, Haoran Zheng, Lin Deng

“…Abstract In this study, a hierarchical multi-label classification method called HFFNet-2d is proposed for the automatic classification of scanning electron microscope (SEM) images of metal failure. …”
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Development of a new method for preparing white flour dough using apple and pumpkin powder by O. V. Perfilova

“…The aim of the research was development of a method for preparing dough from wheat white flour using corn oil and 5% apple and pumpkin powders from marc of the production of direct pressing juice, which are sources of water-soluble antioxidants. …”
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Root Cause Analysis of Oil Losses in Press Machines Using Fault Tree Analysis Method by Nismah Panjaitan, Juni Arta Lubis, Niken Kristin Silitonga, Muhammad Zaky Faris

“…One option that the business could use is the fault tree analysis (FTA) method, which offers a methodical way to pinpoint the root causes of production inefficiencies to solve this problem. …”
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A Distributed Low-Degree-of-Freedom Aerial Target Localization Method Based on Hybrid Measurements by Xiaoshuang Jiao, Jinming Chen, Lifeng Jiang, Weiping Li, Xiaochao Yang, Weiwei Wang, Jun Zhang

“…Finally, using inter-node measurements, a pseudo-linear system of equations is constructed to complete the three-node aerial target localization. The method uses satellites as radiation sources to transmit signals, with unmanned aerial vehicles (UAVs) acting as receiving station nodes to capture the signals. …”
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Targets Spatial Coordinates Calculation in Angle-Difference Rangefinder Passive Location Complexes by Numerical Iterative Methods by A. A. Dmitrenko, S. Y. Sedyshev

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How High Efficiency of the Chilean stock Market Does Impact on Energy Transition? Research Using Deep seek AI Optimization by A. Yu. Mikhaylov, N. B. A. Yousif, J. An

“…The methodology is based on the Kramer-von Mises method and market performance assessment tests using Deep Seek AI optimization. …”
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Location Allocation of Biorefineries for a Switchgrass-Based Bioethanol Supply Chain Using Energy Consumption and Emissions by Seyed Ali Haji Esmaeili, Ahmad Sobhani, Sajad Ebrahimi, Joseph Szmerekovsky, Alan Dybing, Amin Keramati

“…Moreover, imposing emissions or energy consumption penalties makes the optimization model closer to supply sources while having higher land rental costs. …”
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Insights into Biohydrogen Production Through Dark Fermentation of Food Waste: Substrate Properties, Inocula, and Pretreatment Strategies by Djangbadjoa Gbiete, Satyanarayana Narra, Damgou Mani Kongnine, Mona-Maria Narra, Michael Nelles

“…This review critically assesses food waste sources, focusing on their physical and chemical composition, pretreatment methods, and strategies for optimizing dark fermentative hydrogen production. …”
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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Machine learning-based regression models were employed to optimize product quality. The open-source "3D Printer Material Requirement" dataset obtained from the Kaggle platform was utilized to predict product quality. …”
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Detection of Methane Emissive “Hot Spots” in Landfills: An Advanced Statistical Method for Processing UAV Data by Maurizio Guerra, Maurizio De Molfetta, Antonio Diligenti, Marco Falconi, Vincenzo Fiano, Chiara Fiori, Donatello Fosco, Lucina Luchetti, Bruno Notarnicola, Pietro Alexander Renzulli, Enrico Sacchi, Nino Tarantino, Marcello Tognacci, Antonella Vecchio

“…Future work should refine UAV flight patterns and data processing with semi-controlled experiments—using known methane sources—to determine optimal acquisition parameters, such as flight height, sampling frequency, grid resolution, and wind influence.…”
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Mathematical Model for Searching for an Optimal Solution to the Problem of Forming Supply Chains for Raw Materials of Forestry Enterprises under Conditions of Uncertainty by R. S. Rogulin

“…The following research methods were proposed: mathematical modeling, theory and optimization methods. …”
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Intelligent transportation systems: prospects, effectiveness, and challenges by Arseniy A. Efimov, Kseniya S. Medvedeva

“…ITS, as a set of technologies and methods aimed at optimizing transport processes, can significantly improve the efficiency of transport systems, improve road safety and reduce the negative impact on the environment. …”
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Hydrogen production by the water-gas shift reaction: A comprehensive review on catalysts, kinetics, and reaction mechanism by Leila Dehimi, Oualid Alioui, Yacine Benguerba, Krishna Kumar Yadav, Javed Khan Bhutto, Ahmed M. Fallatah, Tanuj Shukla, Maha Awjan Alreshidi, Marco Balsamo, Michael Badawi, Alessandro Erto

“…Numerous studies have focused on developing optimal WGS catalysts with the desired characteristics and efficiency. …”
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Geospatial Spatiotemporal Analysis of Tourism Facility Attractiveness and Tourism Vitality in Historic Districts: A Case Study of Suzhou Old City by Mi Zhou, Jianqiang Yang

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A Narrative Review on Manufacturing Methods Employed in the Production of Mesenchymal Stromal Cells for Knee Osteoarthritis Therapy by Rasmus Roost Aabling, Maria Rusan, Anaïs Marie Julie Møller, Naija Munk-Pedersen, Carsten Holm, Brian Elmengaard, Michael Pedersen, Bjarne Kuno Møller

“…MSCs, which can be derived from sources such as bone marrow, umbilical cord, or adipose tissue, and can be allogeneic or autologous, have demonstrated promising results in both animal models and several human studies. …”
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Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition by Saliha Artabaz, Layth Sliman

“…While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on feature dependencies, redundancies, and selection methods. …”
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The RBF-FD and RBF-FDTD Methods for Solving Time-Domain Electrical Transient Problems in Power Systems by Duc-Quang Vu, Nhat-Nam Nguyen, Phan-Tu Vu

“…The algorithm of selecting “optimal” shape parameters for our basis functions is also applied, specifically to increase the accuracy of the suggested methods with regard to high accuracy needs. …”
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Comparison of two pre-fuel cell carbon capture systems employing methane decomposition and hydrogen membrane: Regression-based machine learning and optimization approach by Amirali Nouri, Araz Emami, Ata Chitsaz, Alireza Fathipour, Navid Kousheshi, Ava Karshenas

“…This study examines two systems designed to operate with zero carbon dioxide emissions, each utilizing different methods for heat generation to support methane decomposition for hydrogen production. …”
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Research Trend On Healthcare (Hospital Financial) Failure And Activity-Based Costing Methods: A Bibliometric Analysis by Yurisal Akhmad Dany, Firman Pribadi

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