Structural transformations and their impact on the mechanical and antifriction properties in the process of alloying graphitized hypereutectoid steel with copper by Natalia V. Stepanova, Elena A. Lozhkina

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Detection of Transformer Faults: AI-Supported Machine Learning Application in Sweep Frequency Response Analysis by Hakan Çuhadaroğlu, Yılmaz Uyaroğlu

“…In this study, we discussed how the increasing demand for electrical energy results in higher loads on transformers, creating the need for more effective testing and maintenance methods. …”
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Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting by Reham H. Mohammed, Asmaa Mohamed El-saieed

“…These results were better than those from models like Linear Regression, SVR, LSTM, and even standalone Transformer and XGBoost. Overall, this hybrid method provides a reliable and efficient solution for wind speed forecasting in the context of sustainable energy planning.…”
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Greigite (Fe3S4) Formation in Artificial Sediments via Solid‐State Transformation of Lepidocrocite by Sophie C. Roud, Stuart A. Gilder, SoHyun Park

“…To overcome these limitations, we report a new method to selectively transform lepidocrocite to greigite via the intermediate phase mackinawite (FeS). …”
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CADTrans: A code tree-guided CAD generative transformer model with regularized discrete codebooks by Xufei Guo, Xiao Dong, Juan Cao, Zhonggui Chen

“…Secondly, these codebooks are used to normalize a CAD construction sequence into a structured code tree representation which is then used to train a standard transformer network to reconstruct the code tree. Finally, the code tree is used as global information to guide the sketch-and-extrude method to recover the corresponding geometric information, thereby reconstructing the complete CAD model. …”
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A Latent Multi-Scale Residual Transformer Approach for Cross-Modal Medical Image Synthesis by Xinmiao Zhu, Yang Li

“…Extensive experimental results across three different datasets demonstrate that LMRT-NET outperforms baseline methods in terms of image generation quality and generalization capability. …”
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3DVT: Hyperspectral Image Classification Using 3D Dilated Convolution and Mean Transformer by Xinling Su, Jingbo Shao

“…Additionally, the proposed method holds promise for the classification of fiber laser spectra, where high precision and spectral analysis are crucial for distinguishing between different fiber laser characteristics. …”
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Diverse redox-mediated transformations to realize the para-quinoid, σ-bond, and ortho-diphenoquinoid forms by Takashi Harimoto, Moto Kikuchi, Takanori Suzuki, Yusuke Ishigaki

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Prospects for the use of mobile applications for digitalization of the main business processes in the restaurant business by V.О., A.V.

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Photodegradation of Diquat in water under UV irradiation: Identification of transformation products and elucidation of photodegradation pathway by Fangyuan Wang, Bo Tao

“…The initial concentration of Diquat and the pH value of the water environment significantly affected the half-life of photodegradation of Diquat, and the opposite was true for different types of water. The photodegradation transformation products (PTPs) formed by the photodegradation of Diquat in an aqueous solution under UV-Vis irradiation were separated and identified using ultra-high-performance liquid chromatography coupled with time-of-fight mass spectrometry (UPLC-QTOF-MS). …”
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Modeling and Simulation of Internal Incipient Faults in Electrical Transformers Using a Bond Graph Approach by Arthur Cleary-Balderas, Gilberto Gonzalez-Avalos, Gerardo Ayala-Jaimes, Aaron Padilla Garcia

“…The steady-state responses of the faulted transformer models using a bond graph approach are presented, leading to the proposal of a method for fault analysis in transformers with DC supply sources. …”
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Digital transformation and corporate ESG performance: Research based on a capability-motivation dual framework. by Cuicui Huang

“…This study systematically examines the impact mechanism and heterogeneous characteristics of digital transformation (DT) on corporate environmental, social, and governance (ESG) performance, using panel data from Chinese A-share listed companies from 2010-2022. …”
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Internal Energy Balancing Control of a Modular Multilevel Converter as Part of a Hybrid Transformer by Rui Wang, Maurice G. L. Roes, Henk Huisman, Cornelis G.E. Wijnands

“…The output voltages of the MMC have equal frequency and equal phase angles, but different amplitudes in this application. In this paper it is shown that these two features result in steady-state control errors and variable control loop gains when a conventional MMC internal energy balancing method is applied. …”
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Medical Image Retrieval Based on Ensemble Learning using Convolutional Neural Networks and Vision Transformers by Ahmed Yahya, Dalya Khaled, Waleed Al-Azzawi, Tawfeeq Alghazali, H. Sabah Jabr, R. Madhat Abdulla, M. Kadhim Abbas Al-Maeeni, N. Hussin Alwan, S. Saad Najeeb, Kh. T. Falih

“…Our method is trained to encode the images in the database and outputs a ranking list containing the most similar image to the least similar one to the query. …”
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Simulation-Based Evaluation of Robust Transformation Techniques for Median Estimation Under Simple Random Sampling by Fatimah A. Almulhim, Abdulaziz S. Alghamdi

“…A comparison of the proposed estimators and existing methods is conducted through five simulated populations generated through different suitable distributions and three real datasets. …”
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Meta-Transformers: A Hybrid Approach for Medical Image Segmentation With U-Net and Meta-Learning by Neha Tirpude, Tausif Diwan, Meera Dhabu

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Fault diagnosis in electric motors using multi-mode time series and ensemble transformers network by Bo Xu, Huipeng Li, Ruchun Ding, Fengxing Zhou

“…During network training, the chaotic WOA optimizes the ensemble Transformer network’s hyper-parameters. Finally, the proposed method is trained and tested on a motor measurement multi-modal dataset. …”
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Transformation of water use in tianjing areas in residential houses following the installation of piped water systems by Yanhan Wu, Satoshi Boda, Shin-Ya Nishimura, Yingqing Fei, Wenhao Ji

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HDCTfusion: Hybrid Dual-Branch Network Based on CNN and Transformer for Infrared and Visible Image Fusion by Wenqing Wang, Lingzhou Li, Yifei Yang, Han Liu, Runyuan Guo

“…The effectiveness of the proposed method in this paper is verified on different experimental datasets, and it is better than most of the current advanced fusion algorithms.…”
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Detection and Classification of Abnormal Power Load Data by Combining One-Hot Encoding and GAN–Transformer by Ting Yang, Hongyi Yu, Danhong Lu, Shengkui Bai, Yan Li, Wenyao Fan, Ketian Liu

“…Furthermore, it outperforms traditional methods such as LSTM-NDT, Transformer, OmniAnomaly and MAD-GAN in Overall Accuracy, Average Accuracy, and Kappa coefficient, thereby validating the effectiveness and superiority of the proposed anomaly detection and classification method.…”
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