Large Area Crops Mapping by Phenological Horizon Attention Transformer (PHAT) Method Using MODIS Time-Series Imagery by Quanshan Gao, Taixia Wu, Hongzhao Tang, JingYu Yang, Shudong Wang

“…To address these challenges, this article developed an advanced deep learning crop mapping method, i.e., phenological horizon attention mechanism-transformer model (PHAT) to achieve rapid and accurate multiple crops extraction over large areas. …”
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Angle Estimation Based on Wave Path Difference Rate of Change Ambiguity Function by Jianye Xu, Maozhong Fu, Zhenmiao Deng

“…To address these shortcomings, a novel approach based on the phase comparison method is proposed in this study, with the variation in the wave path difference modeled as a first-order motion model. …”
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CWMS-GAN: A small-sample bearing fault diagnosis method based on continuous wavelet transform and multi-size kernel attention mechanism. by Shun Yu, Zi Li, Jialin Gu, Runpu Wang, Xiaoyu Liu, Lin Li, Fusen Guo, Yuheng Ren

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Investigating feature extraction by SIFT methods for prostate cancer early detection by Shadan Mohammed Jihad, Ali A. Alsaud, Firas H. Almukhtar, Shahab Kareem, Raghad Zuhair Yousif

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A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection by Guanqing Kong, Guanqing Kong, Shuang Ma, Shuang Ma, Wei Zhao, Wei Zhao, Haifeng Wang, Haifeng Wang, Qingxi Fu, Qingxi Fu, Jiuru Wang

“…This problem is addressed through the use of a novel multi-domain feature fusion and selection method (PMPSO).MethodDiscrete Wavelet Transforms (DWT) and Welch are used initially to extract features from different domains, including frequency domain, time-frequency domain, and non-linear domain. …”
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Fault Diagnosis Method of Planetary Gearbox based on Wavelet Time-frequency Diagram and Convolutional Neural Network by Jianhua Zhou, Pan Zheng, Shuaixing Wang, Shijing Wu, Xiaosun Wang

“…Experimental results show that the proposed method has better diagnostic accuracy and robustness than the BP neural network when the speed of training set data and test set data is different. …”
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Targets Spatial Coordinates Calculation in Angle-Difference Rangefinder Passive Location Complexes by Numerical Iterative Methods by A. A. Dmitrenko, S. Y. Sedyshev

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How aromatic dissolved organic matter differs in competitiveness against organic micropollutant adsorption by Qi Wang, Oliver J. Lechtenfeld, Luuk C. Rietveld, Jonas Schuster, Mathias Ernst, Roberta Hofman-Caris, Jan Kaesler, Chunmiao Wang, Min Yang, Jianwei Yu, Frederik Zietzschmann

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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

“…This time-frequency analysis method, by preserving low-frequency features, is particularly suitable for SP signals. …”
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Reversible Watermarking for Electrocardiogram Protection by Pavel Andreev, Anna Denisova, Victor Fedoseev

“…In this paper, we present an extensive investigation of four reversible watermarking methods: prediction error expansion (PEE), reversible contrast mapping difference expansion (RCM), integer transform-based difference expansion (ITB), and compression-based watermarking. …”
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Localization and Diagnosis of Short-Circuit Faults in Transformer Windings Injected by Damped Oscillatory Wave by Chengbo Hu, Xueqiong Zhu, Yongling Lu, Ziquan Liu, Zhen Wang, Zhengyu Liu, Kangyong Yin

“…This paper presents a scalable design capable of rapidly simulating winding faults in experimental transformers. By diagnosing three-phase transformer winding short-circuit faults using oscillatory shock voltages and numerical statistical methods, the relationship between the transfer function and winding short-circuit faults is investigated. …”
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Phase Demodulation Based on K-Space With High Sensitivity for Interferometric Fiber Sensor by Ling Chen, Jiewen Li, Jiajun Tian, Yang Bang, Kedi Tang, Yong Yao

“…This study firstly proposes and experimentally demonstrates a phase demodulation method with high sensitivity for interferometric fiber sensors (IFSs) on the basis of the fast Fourier transform of a wavenumber domain. …”
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Evaluating predictive models for hemorrhagic transformation post-mechanical thrombectomy in acute ischemic stroke by Jiaxuan Wang, Jiaxuan Wang, Jianyou You, Hui Yang, Hui Yang, Zhongbin Xia, Xiangbin Wu, Moxin Wu, Moxin Wu, Xiaoping Yin, Xiaoping Yin, Zhiying Chen, Zhiying Chen

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A study of nonlinear fractional-order biochemical reaction model and numerical simulations by Bheeman Radhakrishnan, Paramasivam Chandru, Juan J. Nieto

“…This present work is concerned with fundamental enzyme kinetics, utilised to assess the efficacy of powerful mathematical approaches such as the homotopy perturbation method (HPM), homotopy analysis method (HAM), and homotopy analysis transform method (HATM) to get the approximate solutions of the biochemical reaction model with time-fractional derivatives. …”
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Polynomial approach for the most general linear Fredholm integrodifferential-difference equations using Taylor matrix method by Mehmet Sezer, Mustafa Gülsu

“…This method transforms the given general linear Fredholm integrodifferential-difference equations and the mixed conditions to matrix equations with unknown Taylor coefficients. …”
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Carbon Emission Accounting for 220 kV Transmission and Transformation Projects Based on a Whole Life Cycle Improvement Method by Chunli Wang, Xian Gao, Houyin Long

“…This study improves the carbon emission measurement method for the entire lifecycle of power transmission and transformation equipment, compiles and summarizes the carbon emission coefficients of each equipment and duration according to different typical scenarios, and measures the carbon emission of power transmission and transformation projects. …”
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A mixed-method concurrent transformative study of metadiscourse markers employed by L2 speakers: does proficiency level matter? by Hiwa Weisi, Maryam Zandi

“…To conduct this discourse analysis research, a mixed-methods approach with concurrent transformative design was employed. …”
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BathyFormer: A Transformer-Based Deep Learning Method to Map Nearshore Bathymetry with High-Resolution Multispectral Satellite Imagery by Zhonghui Lv, Julie Herman, Ethan Brewer, Karinna Nunez, Dan Runfola

“…Traditional bathymetric mapping methods such as sonar surveys and LiDAR are often time-consuming and costly. …”
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A transformation uncertainty and multi-scale contrastive learning-based semi-supervised segmentation method for oral cavity-derived cancer by Ran Wang, Chengqi Lyu, Lvfeng Yu

“…The transformation uncertainty estimation evaluates the model’s confidence on data transformed via different methods, reducing discrepancies between the teacher and student models. …”
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Digital transformation project risks assessment using hybrid picture fuzzy distance measure-based additive ratio assessment method by Pratibha Rani, Arunodaya Raj Mishra, Adel Fahad Alrasheedi, Dragan Pamucar, Dragan Marinkovic

“…Abstract Digital transformation (DT) has become vital for companies trying to remain competitive in the recent ever-changing technological environment. …”
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