Controllable Blind AC FDIA via Physics-Informed Extrapolative AVAE by Siliang Zhao, Wuman Luo, Qin Shu, Fangwei Xu

“…To address these limitations, we propose the physics-informed extrapolative adversarial variational autoencoder (PI-ExAVAE) for generating controllable and stealthy false data injections. …”
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Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in Image Steganography by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal

“…This method integrate audio data into medical images, specifically DICOM-standard images without compromising their visual integrity. …”
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A Design Approach for SoC Integration With Voltage Restoration Capability for Redundancy-Based DC Microgrids by Thales Augusto Fagundes, Raphael Sauer de Castro, Marcio Von Rondow Campos, Bruno Meneghel Zilli, Lucas Jonys Ribeiro Silva, Josep M. Guerrero, Ricardo Quadros Machado

“…The key contribution lies in the fuzzy-based voltage restoration for the EMS, integrating SoC equalization via S-shaped functions, even during BESS, FC, or CBC maintenance. …”
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Study on the Shear Lag Calculation Method for Damaged Box Girder by Yulong Zhang, Junguang Wang, Xiaoguang Wu, Jiahao Yin, Yuanxu Shi

“…Field measurements show that midspan stiffness decreased to 81% of the as-built value; the proposed method reproduces this value with a deviation of 3%. …”
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Source-Free Domain Adaptation Framework for Rotary Machine Fault Diagnosis by Hoejun Jeong, Seungha Kim, Donghyun Seo, Jangwoo Kwon

“…To address this, we propose a robust fault diagnosis framework incorporating three key components: (1) an order-frequency-based preprocessing method to normalize rotational variations, (2) a U-Net variational autoencoder (U-NetVAE) to enhance adaptation through reconstruction learning, and (3) a test-time training (TTT) strategy enabling unsupervised target domain adaptation without access to source data. …”
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Transient Voltage Information Entropy Difference Unit Protection Based on Fault Condition Attribute Fusion by Zhenwei Guo, Ruiqiang Zhao, Zebo Huang, Yongyan Jiang, Haojie Li, Yingcai Deng

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Challenges in AI-driven multi-omics data analysis for Oncology: Addressing dimensionality, sparsity, transparency and ethical considerations by Maryem Ouhmouk, Shakuntala Baichoo, Mounia Abik

“…In this review, we gathered published methods of deep learning-based multi-omics integration specialized in oncology since 2020. …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

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A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

“…Experimental results show that the proposed method achieves high processing speed on low-performance hardware platforms, improves feature point distribution uniformity to 0.89, and achieves stitching accuracy (RMSE) of 3.5 pixels, significantly outperforming ORB and SIFT algorithms, while remaining robust in dynamic occlusion and lighting variation scenarios. …”
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Effects of different irrigation methods on micro-environments and root distribution in winter wheat fields by Guo-hua LÜ, Ji-qing SONG, Wen-bo BAI, Yong-feng WU, Yuan LIU, Yao-hu KANG

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An asymptotic solution for the SIS epidemic model, taking into account migration and diffusion by Rassadin, Aleksandr Eduardovich

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Hilbert–Huang transform and spectrum-weighted reconstruction integration for millimeter wave radar-based heart rate detection by Hao CUI, Luyao LIU, Hao CHEN, Wendong XIAO

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Integration of DDPM and ILUES for Simultaneous Identification of Contaminant Source Parameters and Non‐Gaussian Channelized Hydraulic Conductivity Field by Xun Zhang, Simin Jiang, Na Zheng, Xuemin Xia, Zhi Li, Ruicheng Zhang, Jiangjiang Zhang, Xinshu Wang

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Assessment of Transmission Reliability Margin: Existing Methods and Challenges and Future Prospects by Uchenna Emmanuel Edeh, Tek Tjing Lie, Md Apel Mahmud

“…The integration of renewable energy sources (RESs), such as wind and solar, introduces significant uncertainties into power system operations, complicating Available Transfer Capability (ATC) assessment. …”
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Underwater Visual Object Tracking Method Based on Scene Perception by Qianwei HU, Daiwei WANG, Renjie LI, Xiaofan YU, Bin KANG, Ruoyu SU

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Single-Crystal Inspection Using an Adapted Total Focusing Method by Iratxe Aizpurua-Maestre, Aitor De Miguel, Jose Luis Lanzagorta, Ewen Carcreff, Lander Galdos

“…This study proposes a methodology to determine the crystal orientation, which is subsequently used to improve the Total Focusing Method (TFM) by incorporating the refracted beam directivity. …”
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A Multicriteria Customer Classification Method in Supply Chain Management by Felipe Barrera, Marina Segura, Concepción Maroto

“…This method assigns alternatives to one of four classes defined by critical dimensions that integrate several evaluation criteria. …”
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Orbitrap noise structure and method for noise unbiased multivariate analysis by Michael R. Keenan, Gustavo F. Trindade, Alexander Pirkl, Clare L. Newell, Yuhong Jin, Konstantin Aizikov, Andreas Dannhorn, Junting Zhang, Lidija Matjačić, Henrik Arlinghaus, Anya Eyres, Rasmus Havelund, Richard J. A. Goodwin, Zoltan Takats, Josephine Bunch, Alex P. Gould, Alexander Makarov, Ian S. Gilmore

“…Using a stable primary ion beam to provide a well-controlled source of ions from a silver sample, we find that noise has three characteristic regimes: at low signals the Orbitrap detector noise and a censoring algorithm dominates; at intermediate signals counting noise specific to the ion emission process is most significant; and at high signals additional sources of measurement variation become important. Using this understanding, we developed a generative model for Orbitrap data that accounts for the noise distribution and introduce a scaling method, termed WSoR, to reduce the effects of noise bias in multivariate analysis. …”
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Research on a Method for Identifying Key Fault Information in Substations by Pan Zhang, Lei Guo, Zhicheng Huang, Zhoupeng Rao, Ying Zhang, Zhi Sun, Rui Xu, Deng Li

“…To address these challenges, this study proposes a method of critical fault information identification that integrates a scalable time window with Principal Component Analysis (PCA). …”
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Statistical Downscaling Method for Vegetation Optical Depth Based on NDVI by Wang Xinyu, Fang Shibo, Han Jiahao

“…There are currently two primary approaches for downscaling VOD. One involves integrating active microwave remote sensing, while the other involves integrating optical remote sensing.Currently, there is limited research focused on downscaling VOD, particularly using optical vegetation indices, which is very uncommon.Thus, statistical methods can be employed in conjunction with NDVI to spatially downscale VOD, exploring the feasibility of using optical remote sensing data for VOD downscaling. …”
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