Multi-Metric Fusion Hypergraph Neural Network for Rotating Machinery Fault Diagnosis by Jiaxing Zhu, Junlan Hu, Buyun Sheng

“…Effective fault diagnosis in rotating machinery means extracting fault features from complex samples. However, traditional data-driven methods often overly rely on labeled samples and struggle with extracting high-order complex features. …”
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The Kratos Framework for Heterogeneous Astrophysical Simulations: Fundamental Infrastructures and Hydrodynamics by Lile Wang

“…The field of astrophysics has long sought computational tools capable of harnessing the power of modern GPUs to simulate the complex dynamics of astrophysical phenomena. The Kratos Framework, a novel GPU-based simulation system designed to leverage heterogeneous computing architectures, is introduced to address these challenges. …”
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Anti-Easter Story by Ivan Bunin “Mowers” (structure, system of Images, “Russian Idea”) by O. V. Bogdanova, Minjie Liu

“…It is shown that while recreating in the story what seems to be an uncomplicated memory of the meeting with the mowers and expressing delight over their heart-wrenching song, in fact Bunin is building a complex multi-tiered narrative system. It is noted that in this system, the outer layer of the narrative (a long-standing meeting with the mowers) is crowded by today’s reflection of exiled emigrants (Paris, 1921) and is symbolized by folklore ideas about fairy-tale Russia and its primitive mythology. …”
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Lightweight multilayer interactive attention network for aspect-based sentiment analysis by Wenjun Zheng, Shunxiang Zhang, Cheng Yang, Peng Hu

“…Such correlation degree is calculated by multiple computational layers with neural attention models. Third, we use a parameter-sharing strategy among the computational layers. …”
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SSFAN: A Compact and Efficient Spectral-Spatial Feature Extraction and Attention-Based Neural Network for Hyperspectral Image Classification by Chunyang Wang, Chao Zhan, Bibo Lu, Wei Yang, Yingjie Zhang, Gaige Wang, Zongze Zhao

“…Finally, the MLP Block processes the input features through a series of linear transformations, GELU activation functions, and Dropout layers, capturing complex patterns and relationships within the data, and concludes with an argmax layer for classification. …”
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The East-Mayotte new volcano in the Comoros Archipelago: structure and timing of magmatic phases inferred from seismic reflection data by Masquelet, Charles, Leroy, Sylvie, Delescluse, Matthias, Chamot-Rooke, Nicolas, Thinon, Isabelle, Lemoine, Anne, Franke, Dieter, Watremez, Louise, Werner, Philippe, Paquet, Fabien, Berthod, Carole, Cabiativa Pico, Victor, Sauter, Daniel

“…A ${\sim }$2.2–2.5 km thick sedimentary unit is present between this volcanic layer and the top of the crust. A complex magmatic feeder system is observed within this unit, composed of saucer-shape sills and seal bypass systems. …”
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Application of Dar-Zarrouk Parameters for Groundwater Protective Potential within the Crystalline Basement Formation, Southwestern Nigeria by Adetunji Adeniji, Olumide Ajani, Theophilus Adagunodo, James Agbolade, Ayomide Ayeni

“…The study's protective potential was calculated using physical subsoil layer data such as apparent resistivity and layer thickness values. …”
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The modern method of creating dynamically scaled models to study aircraft flutter characteristics by A.V. Dolgopolov, D.A. Kazancev, I.V. Markin, O.A. Orlova, S.V. Shalaev

“…A complex research, which included the design, manufacture, and testing of a dynamically scaled model of the all-moving tail (AMT) of an aircraft with the numerical calculations at each stage, was carried out. …”
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Theoretical and numerical modeling of a shallow foundation stiffness based on the theory of elastic half-space by Pakos Wojciech, Helowicz Andrzej

“…Model A represents a complex three-dimensional numerical model that consists of a reinforced concrete frame structure, which has a soil layer beneath it. …”
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Insurance claims estimation and fraud detection with optimized deep learning techniques by P. Anand Kumar, S. Sountharrajan

“…Deep learning techniques have proven highly effective in addressing these challenges to analyse complex patterns and relationships in extensive datasets. …”
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Transport Mechanisms of Conservative Contaminants From Tidally Influenced Semi‐Confined Aquifers to the Sea by Jiaxu Zhang, Chunhui Lu, Hongwei Fang, Jian Luo, Holly A. Michael, Alicia M. Wilson

“…These findings enhance our understanding of the complex processes involved in deep‐layer contaminant transport and retention in coastal aquifers.…”
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Utilization of Algal Biochar for Biopassivation of Copper Sulfide Tailings to Reduce Acid Mine Drainage by Zhiyuan Peng, Can Liu, Yuhang Fu, Hongwei Liu, Hongchang Liu, Hongpeng Cao

“…The results reveal that the introduction of algal biochar during the biopassivation of copper sulfide tailings significantly enhances the tailings passivation effect of the tested <i>Acidithiobacillus ferrooxidans</i> strain and greatly stabilizes the formed passivation layer. Algal biochar prepared with a pyrolysis temperature of 300 °C and applied at a concentration of 6 g/L not only optimizes biopassivation but also significantly improves the stability of the passivation layer. …”
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SMPL Variable Model for 3D Reconstruction and Image Fusion in Animation Media Applications by Tian Xie, Kunpeng Zhao

“…Traditional reconstruction approaches often rely on fixed-shape models, which limits their ability to accurately represent the dynamic soft tissue variations and complex interactions with the surrounding environment. …”
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VBCNet: A Hybird Network for Human Activity Recognition by Fei Ge, Zhenyang Dai, Zhimin Yang, Fei Wu, Liansheng Tan

“…These results show that VBCNet exhibits extremely high effectiveness and robustness in human activity recognition tasks in complex scenarios.…”
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Using IoT Protocols in Real-Time Systems: Protocol Analysis and Evaluation of Data Transmission Characteristics by Andrei Gavrilov, Marlen Bergaliyev, Sergey Tinyakov, Kirill Krinkin, Pavel Popov

“…In this article, we consider the application layer protocols that are the main ones for transmitting messages in the IoT. …”
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Hierarchical Control of Energy Router Based on MPC and Real-Time Optimization Methods for Distribution Network by Jianfeng Yang, Shun Zhou, Jiawei Wang

“…Traditional centralized control methods struggle with slow response times and poor adaptability, particularly under dynamic and complex conditions such as renewable energy fluctuations and load variations. …”
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A Novel Method for Technology Roadmapping: Nanorobots by Huailan Liu, Zhen Li, Rui Zhang, Yufei Liu, Yixin He

“…Subsequently, it applies semantic similarity measures to connect multiple themes, employing a “multi-layer ThemeRiver map” for a visual representation of these inter-layer connections. …”
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Research on Path Tracking Technology for Tracked Unmanned Vehicles Based on DDPG-PP by Yongjuan Zhao, Chaozhe Guo, Jiangyong Mi, Lijin Wang, Haidi Wang, Hailong Zhang

“…Based on the optimal look-ahead distance output from the upper layer, the lower layer realizes precise closed-loop control of torque, required for steering, based on the PP method. …”
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An Improved PIN Diode Model Design for a Tunable Frequency Selective Absorber by Hanxiang Lin, Xiaoxing Fang

“…This new structure consists of four primary components: a frequency selective surface (FSS) layer, a dielectric substrate, an air spacer layer, and a metal substrate. …”
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The Pore Structure of Marine to Continental Transitional Shales in the Permian Shanxi Formation on the East Margin of the Ordos Basin, China by Tao Wang, Fenghua Tian, Ze Deng, Haiyan Hu, Zhitao Xie

“…The pore structure is affected by the TOC content, organic matter maturity, and illite/smectite (I/S) mixed layer content. The total PV increases with the increase in TOC content, organic matter maturity, and I/S mixed layer content. …”
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