Ultrasonic localization method based on Chan‐WLS algorithm for detecting power transformer partial discharge faults by fibre optic F‐P sensing array by Hong Liu, Tianhe Yang, Zhixian Zhang, Haoyuan Tian, Yuxuan Song, Qiuxia Sun, Wei Wang, Yunjun Geng, Weigen Chen

“…A sensor installation method is also proposed for introducing a fibre optic F‐P probe into the power transformer interior using a fibre optic penetrator through flange at the power transformer oil change valve. …”
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FTIR-Based Microplastic Classification: A Comprehensive Study on Normalization and ML Techniques by Octavio Villegas-Camacho, Iván Francisco-Valencia, Roberto Alejo-Eleuterio, Everardo Efrén Granda-Gutiérrez, Sonia Martínez-Gallegos, Daniel Villanueva-Vásquez

“…This study examines the potential of machine learning (ML) and deep learning (DL) techniques for classifying microplastics using Fourier-transform infrared (FTIR) spectroscopy. Six commonly used industrial plastics (PET, HDPE, PVC, LDPE, PP, and PS) were analyzed. …”
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Performance Analysis of Transform University Studies in Indonesia Context by Eduart Wolok, Hermanto Siregar, Setiadi Djohar, Lukman M. Baga

“…The purpose of this study are to analyze the performance of Universitas Negeri Gorontalo (UNG) in the financial and academic aspects; to analyze the gaps in financial performance and academic performance; and to know the differences in financial performance and academic performance before and after transformation into a State Universities Public Service Agency (PTN BLU). …”
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Dual discriminator GAN-based synthetic crop disease image generation for precise crop disease identification by Chao Wang, Yuting Xia, Lunlong Xia, Qingyong Wang, Lichuan Gu

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Modeling Transmission Lines With Open Boundaries via Infinite Mapping Layer by Gines Garcia-Contreras, Juan Corcoles, Jorge A. Ruiz-Cruz, Matteo Oldoni, Lorenzo Codecasa, Gian Guido Gentili

“…In this paper we introduce the use of several different Infinite Mapping Layers to model open boundaries in the 2-D Finite Element Method for the computation of transmission line parameters. …”
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Detection of Incipient Faults in Power Transformers using Fuzzy Logic and Decision Tree Models Based on Dissolved Gas Analysis by Felix Olowolafe, Kehinde Olukunmi Alawode

“…Trained with over 300 DGA samples from transformers with known faults, the models exhibit robust performance during testing with different datasets. …”
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Signature of conservation laws and solitary wave solution with different dynamics in Thomas–Fermi plasma: Lie theory by Marriam Fayyaz, Muhammad Bilal Riaz, Muhammad Junaid U Rehman, Osman Tunç

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Transformative capabilities of geological processes by Сергій Горяйнов

“…Conclusions. The transformative capabilities of geological processes and their types differ. …”
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Refining Water Body Extraction by Remote Sensing With Deep Learning Models: Exploring Different Band Combinations by Ziheng Feng, Fei Zhang, Xu Ma, Chi Yung Jim, Di Wu, Dong Liu, Saheed Adeyinka Oke, Weiwei Wang, Lifei Wei, Songlin Nie, Zhihui Li, Haowei Xu

“…However, complex scenarios, such as cloud shadows and ice–snow misclassification, challenge traditional methods, such as spectral indices and thresholding. …”
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Methodical Approach to Developing a Risk Management System of Risks for the Development of the Russian Stock Market by E. N. Alifanova, T. V. Maniakhin

“…The purpose of the study is to work out a methodological approach to risk management for the development of the national stock market in the context of economic transformation. During the study, mainly methods of analysis and synthesis, classification, induction and deduction were used. …”
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A Dehazing Method for UAV Remote Sensing Based on Global and Local Feature Collaboration by Chenyang Li, Suiping Zhou, Ting Wu, Jiaqi Shi, Feng Guo

“…UAVD-Net integrates both global and local feature extraction mechanisms to effectively remove non-uniform haze across different spatial regions. A Transformer-based Multi-layer Global Information Capturing (MGIC) module is introduced to progressively capture and integrate global contextual features across multiple layers, enabling the model to perceive and adapt to spatial variations in haze distribution. …”
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Unveiling optimal mother wavelets by COPRAS Method Analyzing speech signals despite face mask and shield obstacles by B. Marxim Rahula Bharathi, N. S. Balaji, R. Meena, M. Raja Chandra Sekar, Krishna Moorthy Sivalingam, Yan Yafang, P. V. Elumalai

“…To address this issue, the wavelet transform (WT), a proven effective method, can be implemented. …”
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On Schools' Digital Transformation Readiness by Irina V. Dvoretskaya, Alexander Yu. Uvarov

“…To realize the schools' digital transformation successfully, it is necessary to determine to what extent the country’s schools are ready for transformational changes, to record the main differences between the upcoming changes and those that occurred during the development of digital technologies by schools in past years. …”
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Comparing Undecimated Wavelet, Nonsubsampled Contourlet and Shearlet for Sar Images Despeckling by Saeed Jafari, Sedigheh Ghofrani, M. Sheikhan

“…Bayesian shrinkage in a transformed domain is a well-known method based on finding threshold value to suppress the speckle noise. …”
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Processing ambient noise using wavelet analysis tools: the Iraqi Seismological broadband Network Data at Iraqi Meteorological Organization and seismology (IMOS) by Hasanain Jasim Mohammed, Ali M. Al-Rahim

“…The outcomes seem that ways compared with other denoising methods, using the Continuous Wavelet Transform has many natural translation-invariant and time-frequency properties and improve considerably the results compared to those using traditional filters. …”
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Research on series arc fault detection method household loads based on voltage signals by Bin Li, Jiahui Shu, Feifan Cui

“…In addition, additional experiments at different sampling frequencies show that the method has good adaptability, and the identification accuracy has better performance when the sampling frequency is 10 KHZ, which has certain theoretical guiding significance for the development of the series arc fault detection device in the next step.…”
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Routine Testing–Oriented Method for Evaluating Inductive Current Transformers Accuracy Under Harmonic Distortion, Based on Maximum Current Error and Phase Displacement by Michal Kaczmarek

“…Moreover, this proposed method ensures simple and fast determination of the maximum values of current error and phase displacement for transformation of distorted current harmonics by inductive current transformers essential for accuracy class assessment. …”
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Analysis and Design of CMOS Doherty Power Amplifier Based on Voltage Combining Method by Chenxi Zhao, Huihua Liu, Yunqiu Wu, Kai Kang

“…This Doherty PA uses a series combining transformer (SCT) to combine the output power and realize the load modulation, which is different from the conventional current combining method. …”
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Performance of segmentation (watershed and meanshift) and image transformation (MNF-laplacian filter) methods for extracting complex coastlines from Pleiades images: the case of th... by Luc Simirore Diatta, Katia Schörle, Zahra Akacha, Semah Bettaieb, Ali Drine, Ameur Oueslati, Luc Lapierre

“…This study evaluates the performance of different coastline extraction methods based on the segmentation (Watershed and Meanshift) and transformation and discrimination (MNF-Laplacian filter) of very high spatial resolution Pléiades images resampled to 0.5 m. …”
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Application of the Algebraic Extension Method to the Construction of Orthogonal Bases for Partial Digital Convolutions by Aruzhan Kadyrzhan, Akhat Bakirov, Dina Shaltykova, Ibragim Suleimenov

“…This allows us to produce partial Fourier–Galois transforms corresponding to different Galois fields, for the same number of cycles. …”
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