GF-2 Remote Sensing-Based Winter Wheat Extraction With Multitask Learning Vision Transformer by Zhihao Zhao, Zihan Liu, Heng Luo, Hui Yang, Biao Wang, Yixin Jiang, Yanqi Liu, Yanlan Wu

“…The method incorporates a multitask learning framework-Vision Transformer-based model (namely MCFormer) that combines semantic segmentation and boundary detection. …”
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Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method by Jingdan Liu, Xujie Bao, Liji Chen

“…To reveal the validation and superiority, a numerical example is discussed to evaluate an effective AI approach to improve English language and psychology pedagogy under different criteria. Furthermore, a comprehensive comparative study is conducted to assess the compatibility of the proposed optimization techniques in the CRITIC-TOPSIS method with existing optimization approaches. …”
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Developing a New Method of Transformation for Obtaining XYZ Color Values from RGB Images for Agricultural Applications by Vahid Mohammadi, Keivan Ansari, Pierre Gouton, Houda Attig

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Analysis of Train-induced Dynamic Response of Metro Tunnel in Saturated Foundation Based on the Wave Function Transformation Method by GUO Huiji

“…The transformation formula of the wave functions for plane and cylindrical waves is introduced to solve the basic solution of the dynamic response of the tunnel embedded in the half-space foundation. …”
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Solitonic wave solutions of a Hamiltonian nonlinear atom chain model through the Hirota bilinear transformation method by Ceesay Baboucarr, Baber Muhammad Z., Ahmed Nauman, Macías Siegfried, Macías-Díaz Jorge E., Medina-Guevara María G.

“…This study employs the Hirota bilinear transformation method to investigate solitary and soliton solutions resulting from different symmetry wave functions associated with nonlinear atom chain models. …”
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Fault Diagnosis Method for Transformer Winding Based on the Load Normalized Lissajous Graphical Analysis of Leakage Magnetic Field by Bowen ZHANG, Jian FENG, Bowen WANG, Feiran YANG, Yitong XING

“…This study proposes a transformer winding fault diagnosis method based on Lissajous graphics and convolutional neural networks (CNN).Methods First, a simulation model consistent with an actual transformer is developed, and the simulation system is utilized to obtain magnetic flux leakage signal data from different measurement points outside the winding under both normal and fault conditions. …”
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A Deep Modelling Method for Bearing Faults Incorporating Multi-domain Features by NIU Guojun, TANG Zhenhao, WANG Mengjiao

“…By comparing the single-domain feature extraction and the fault diagnosis results of different classification algorithms on the two datasets, it is verified that the proposed method can effectively improve the fault identification accuracy.…”
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Application of the Acoustic Emission Method for Diagnosis in On-Load Tap Changer by Henryk MAJCHRZAK, Andrzej CICHOŃ, Sebastian BORUCKI

“…The measurements were performed for an amount of 10 items of OLTCs, installed in power transformers with a capacity of 250 MVA. The study was conducted in two different OLTC operating conditions during the tapping process: under load and free running conditions. …”
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Fault Detection of Cyber-Physical Systems Using a Transfer Learning Method Based on Pre-Trained Transformers by Pooya Sajjadi, Fateme Dinmohammadi, Mahmood Shafiee

“…A streamlined transformer model is first pre-trained on a large-scale source dataset and then fine-tuned end-to-end on a smaller dataset with a differing data distribution. …”
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Comparative Analysis of Distribution Transformers with Varying Ratings and Insulation States via Frequency Domain Spectroscopy and Capacitance Ratio by Miroslav Gutten, Daniel Korenciak, Roman Konarik, Jan Kanuch

“…The investigation was conducted both by comparing transformers with different performance ratings (from 100 to 1000 kVA) and insulation quality at a constant ambient temperature, and by evaluating insulation properties of a transformer across varying temperatures. …”
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A New Method for Fault Line Selection of Photovoltaic Power Station Collection Lines Based on TEO Energy by Ran ZHENG, Jiayi WU, Haoliang DU, Wulue PAN

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Detection method on pantograph-catenary arcing of electric locomotives based on multi-frequency-band characteristics of current signals by LUO Yinbei, GE Ting, SUN Zeyong

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The Time Difference of Arrival Estimation Method Utilizing an Inexact Reconstruction Within the Framework of Compressed Sensing by Shanhe Wang, Yu Xiang, Yuanyuan Gao, Yu Hua, Changjiang Huang, Xian Zhao

“…This paper introduces an incomplete reconstruction-based TDOA estimation method along with an improved variant. By selecting a partial Fourier transform matrix as the measurement matrix and a Fourier transform matrix as the projection matrix, the orthogonal matching pursuit (OMP) algorithm is employed to reconstruct the compressed measurement data. …”
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Analytical Study of Fractional-Order Multiple Chaotic FitzHugh-Nagumo Neurons Model Using Multistep Generalized Differential Transform Method by Shaher Momani, Asad Freihat, Mohammed AL-Smadi

“…The multistep generalized differential transform method is applied to solve the fractional-order multiple chaotic FitzHugh-Nagumo (FHN) neurons model. …”
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Activated carbons from golden shower upon different chemical activation methods: Synthesis and characterizations by Hai Nguyen Tran, Huan-Ping Chao, Sheng-Jie You

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Numerical investigation of mixed convection and viscous dissipation in couple stress nanofluid flow: A merged Adomian decomposition method and Mohand transform by Khader Mohamed M., Adel Mohamed, Messaoudi Mohamed

“…The modified Adomian decomposition method (ADM) is a computational method that simplifies the complex governing equations of the model under study and finds their numerical solutions. …”
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A non-sub-sampled shearlet transform-based deep learning sub band enhancement and fusion method for multi-modal images by Sudhakar Sengan, Praveen Gugulothu, Roobaea Alroobaea, Julian L. Webber, Abolfazl Mehbodniya, Amr Yousef

“…Abstract Multi-Modal Medical Image Fusion (MMMIF) has become increasingly important in clinical applications, as it enables the integration of complementary information from different imaging modalities to support more accurate diagnosis and treatment planning. …”
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Research on the Comprehensive Performance of Gradient-Hardness Polycarbonate-Based Polyurethane Through Different Molding Methods by Jia Zhu, Yangyang Cui, Song Wang, Weiqiang Liu

“…The PCU materials processed through the three different molding methods exhibited similar results in terms of hardness, scanning electron microscopy (SEM) images, X-ray energy-dispersive spectroscopy (EDS) spectra, and attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectra, indicating that the materials did not degrade or introduce impurities during the molding process and the molding methods used in this study were acceptable. …”
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Inverse unit compound Rayleigh distribution: statistical properties with applications in different fields by Hatem E. Semary, Emmanuel W. Okereke, Laxmi Prasad Sapkota, A. S. Al-Moisheer, Abdirashid M. Yousuf, Eslam Hussam, Ahmed M. Gemeay

“…We provide evidence of the relationship between the IUCRD and exponential distribution via the derivation of distributions of certain functions of one variable. Sixteen different estimation methods are compared employing the Monte Carlo simulation procedure. …”
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Attention-Based Color Difference Perception for Photographic Images by Hua Qiang, Xuande Zhang, Jinliang Hou

“…Traditional color difference (CD) measurement methods cannot adapt to large sizes and complex content of photographic images. …”
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