Numerical investigation of pile foundation systems employing an enhanced embedded finite element by Andreas-Nizar Granitzer, Haris Felic, Johannes Leo, Alexander Stastny, Alexander Stastny, Franz Tschuchnigg

“…The present work expands this validation scope to large-scale boundary value problems involving multiple piles and investigates the model performance based on three different case studies. …”
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A Collaborative Multi-Agent Reinforcement Learning Approach for Non-Stationary Environments with Unknown Change Points by Suyu Wang, Quan Yue, Zhenlei Xu, Peihong Qiao, Zhentao Lyu, Feng Gao

“…Reinforcement learning has achieved significant success in sequential decision-making problems but exhibits poor adaptability in non-stationary environments with unknown dynamics, a challenge particularly pronounced in multi-agent scenarios. …”
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Contrastive Transformer Network for Track Segment Association with Two-Stage Online Method by Zongqing Cao, Bing Liu, Jianchao Yang, Ke Tan, Zheng Dai, Xingyu Lu, Hong Gu

“…Traditional methods often rely on simplistic assumptions about target motion and statistical techniques for track association, leading to problems such as unrealistic assumptions, susceptibility to noise, and suboptimal performance limits. …”
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Development and Evaluation Test of Automatic-Setting Wellhead Plug by Ping Enshun, Wang Yuzhong, Ren Baoliang, Zhao Lei, Li Di, Huang Feng, Shao Junlong

“…The developed plug and tool are ready for field testing， and they have been proved effective for addressing the problem of wellhead washout in a short time. Thus， the plug and tool are prospective for popularization and application.…”
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Multi-Branch Residual Multiscale CNN Based Power Transformer Fault Diagnosis on Vibration Signal by Binwen Zhang, Fei Jiao, Jie Tong, Yuanpeng Tan, Zhonghao Zhang, Shuang Lin

“…Results show that MAMCNN still has good differentiation for fault features under strong noise and fluctuating operating conditions without denoising, and has high accuracy and stability for state identification. …”
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Neural Network-Based Analysis of Forest Fire Aftermath in Class-Imbalanced Remote Sensing Earth Image Classification by V. Hnatushenko, V. Hnatushenko, V. Hnatushenko, D. Soldatenko

“…Classification of satellite images with unbalanced sample distribution is a critical problem in this regard. Traditional machine learning algorithms in particular have limitations in dealing with sample imbalance. …”
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Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach by Andre O. Francani, Marcos R. O. A. Maximo

“…We contribute by presenting the TSformer-VO model based on spatio-temporal self-attention mechanisms to extract features from clips and estimate the motions in an end-to-end manner. …”
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eUF: A framework for detecting over-the-air malicious updates in autonomous vehicles by Anam Qureshi, Murk Marvi, Jawwad Ahmed Shamsi, Adnan Aijaz

“…These updates are utilized to provide enhanced features and updated security mechanisms. In order to ensure scalability and smooth roll-out Over-the-air (OTA) mechanism is a preferred option to propagate a software update. …”
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Numerical Simulation on Cutting and Fracturing of Rock Plate with One Side Fixed and Three Sides Free by Zhenguo Lu, Qingliang Zeng, Zhaosheng Meng, Zhiwen Wang, Guanshun Gao

“…The current paper shows a new method to solve the problem of pick wear. The rock is preslit with the saw blade and then broken by the conical pick. …”
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Influence of Self-Heating on Landfill Leachate Migration by Yanina Parshakova, Ruslan Kataev, Natalya Kartavykh, Mikhail Viskov, Andrey Ivantsov

“…Archival data from a set of field and laboratory measurements in the area of the operating landfill are used to model the features of pollutant propagation and determine migration parameters. …”
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The issue of conversion to Orthodoxy of non-orthodox citizens of the Russian Empire in the second half of the 19th century according to journalistic sources (with M. K. Kabanova an... by Maria Vladimirova

“…The article is devoted to the problem of the conversion of non-believers of the Russian Empire to the Orthodox faith in the second half of the XIX century. …”
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DeCGAN: Speech Enhancement Algorithm for Air Traffic Control by Haijun Liang, Yimin He, Hanwen Chang, Jianguo Kong

“…Air traffic control (ATC) communication is susceptible to speech noise interference, which undermines the quality of civil aviation speech. To resolve this problem, we propose a speech enhancement model, termed DeCGAN, based on the DeConformer generative adversarial network. …”
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Image Super Resolution Reconstruction Based on Multi-Level Residual Skip Connection Network by WANG Xiaoyu, LU Jianyu, WEI Yuxin, YU Yue

“…Image super-resolution reconstruction technology can convert low-resolution images into high-resolution images with higher pixel density and clearer details, and plays an important role in military and medical fields. Aiming at the problem of insufficient processing of texture details and color restoration degree in existing image super-resolution reconstruction algorithms, a multi-level residual skip connection network (MRSCN) based on coordinate attention mechanism is proposed and applied to the SRGAN model to realize full utilization of low-resolution image features. …”
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Automatic Fall Risk Detection Based on Imbalanced Data by Yen-Hung Liu, Patrick C. K. Hung, Farkhund Iqbal, Benjamin C. M. Fung

“…Regarding accidents that occur amongst the elderly, falls are an essential problem that quickly causes indirect physical loss. …”
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Moscow and Moscow Oblast: Commonality and Specificity of Mortality Trends and Causes of Death by V. G. Semenova, A. E. Ivanova

“…The increasing mortality from socially important causes of death (such as infectious diseases) among the female population along with the decreasing losses in the male population were a common problem for both Moscow and Moscow Oblast.…”
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Comparing heterogeneity of sea-ice models with viscous-plastic and Maxwell elasto-brittle rheology by Mirjam Bourgett, Martin Losch, Mathieu Plante

“…New methods to address this problem include modifications to established viscous-plastic (VP) rheology models, sub-gridscale parameterizations or new rheologies such as the Maxwell elasto-brittle (MEB) rheology. …”
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DESESTABILIZACIÓN DEL SISTEMA NATURAL A PARTIR DE CAMBIOS EN EL USO DEL SUELO: EL CASO DE LOS DESLIZAMIENTOS DE VISTA ALEGRE, PROVINCIA DEL NEUQUÉN by Elsie M. Jurio, María E. Chiementon, Marcos D. Mare

“…Temporal analysis of spatial features is enhanced by the use of remote sensing records and Geographic Information Systems (GIS) processing. …”
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Non-Volatile Photonic Memory Based on a SAHAS Configuration by Irene Olivares, Jorge Parra, Pablo Sanchis

“…The non-volatile memory is a crucial functionality for a wide range of applications in photonic integrated circuits, however, it still poses a challenge in silicon photonic technology. This problem has been overcome in the microelectronic industry by using SONOS (silicon-oxide-nitride-oxide-silicon) memory cells, in which the non-volatility is enabled by a dielectric trapping layer such as silicon nitride. …”
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Improving Recommender Systems for Fake News Detection in Social Networks with Knowledge Graphs and Graph Attention Networks by Aleksei Golovin, Nataly Zhukova, Radhakrishnan Delhibabu, Alexey Subbotin

“…This paper addresses the pervasive problem of fake news propagation in social networks. …”
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Mapping Peatlands Combing Deep Learning With Sparse Spectral Unmixing Based on Zhuhai-1 Hyperspectral Images by Yulin Xu, Xiaodong Na

“…The mixed pixel problem, arising from the complex vegetation types of peatlands, poses a significant challenge for remote sensing-based peatland mapping. …”
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