MULTI-SCALE ANALYSIS OF CRYOGENIC COMPOSITE STRUCTURES CONSIDERING INTERFACIAL PHASE by ZHANG XiaoWen, XING HanZheng, ZHANG JingKun, REN MingFa

Subjects: “…Composite interface…”
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Thermo-mechanical coupling behavior of needle-punched carbon/carbon composites by Han Meng, Zhang Xingyu, Wang Zhichao, Silberschmidt Vadim V., Bi Qinsheng

Subjects: “…carbon/carbon composite…”
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A New Modified Technique of Adomian Decomposition Method for Fractional Diffusion Equations with Initial-Boundary Conditions by Saadia Masood, null Hajira, Hassan Khan, Rasool Shah, Saima Mustafa, Qasim Khan, Muhammad Arif, Fairouz Tchier, Gurpreet Singh

“…In this regard, a very prominent and accurate technique, which is known as the new technique of the Adomian decomposition method, is developed and presented for the solution of the initial-boundary value problem of the diffusion equation with fractional view analysis. …”
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Failure Rate Prediction of a Power Transformer: A Decomposition-Based Bayesian Deep Learning Method by Weixin Zhang, Changzheng Shao, Wei Huang, Bo Hu, Jiahao Yan, Kaigui Xie, Maosen Cao, Zhengze Wei

“…This paper proposes a decomposition-based Bayesian deep learning (BDL) method to predict the failure rate of power transformers. …”
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A Method for Solving LiDAR Waveform Decomposition Parameters Based on a Variable Projection Algorithm by Ke Wang, Guolin Liu, Qiuxiang Tao, Luyao Wang, Yang Chen

“…It can also provide a new method for parameter estimation in the Gaussian model for LiDAR waveform decomposition.…”
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Interference coupling cooperative suppression method for wideband carrier communication based on improved variational mode decomposition by Dandan DONG, Ning SUN

“…The interference coupling of power line broadband carrier communication aggravates the frequency domain tailing between subcarriers, reduces the sensitivity of suppression methods, and the communication quality is poor.Therefore, a cooperative suppression method of interference coupling of power line broadband carrier communication based on improved variational modal decomposition was proposed.Based on the channel characteristics of power line broadband carrier communication, a communication channel model with multipath propagation and Doppler effect was established, the communication signal was simulated, the original signal was preprocessed by using the improved variational modal decomposition algorithm, and the suppression problem was transformed into a variational problem.At the same time, the signal was expressed in the discrete form of unconstrained variational problem.The variational problem was continuously updated to complete the separation and processing of the signal, and realize the cooperative suppression of communication interference.The experimental results show that the proposed method has low bit error rate, small frequency offset, and practical application value.…”
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Enhancing hydrodynamic efficiency in Autonomous Underwater Vehicles (AUVs) utilizing adjoint method and proper orthogonal decomposition. by Shorob Alam Bhuiyan, Md Jahid Hasan, Md Araful Hoque

“…While there have been notable breakthroughs in applying the adjoint technique to optimize air and land vehicles, there is still a deficiency in optimizing AUVs using the adjoint method. The present research explores how to improve the hydrodynamic efficiency of an AUV using the gradient-based adjoint technique and Proper Orthogonal Decomposition (POD). …”
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A Financial Data Analysis Method Based on Time-Series Generative Adversarial Network and Decomposition Learning by Wei Wang, Bo Li

“…In existing works, deep learning combined with stock price series decomposition is a common architecture. Inspired by this, we propose a financial data analysis method based on time series generative adversarial network (TimeGAN) and decomposition learning. …”
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An optimised scattering power decomposition method oriented to ship detection in polarimetric synthetic aperture radar imagery by Lu Fang, Wenxing Mu, Ning Wang, Tao Liu

“…Abstract This paper describes an optimised scattering power decomposition method suitable for ship detection in polarimetric synthetic aperture radar imagery. …”
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Hydraulic Pump Fault Diagnosis Method Based on EWT Decomposition Denoising and Deep Learning on Cloud Platform by Wanlu Jiang, Zhenbao Li, Sheng Zhang, Teng Wang, Shuqing Zhang

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ANALYSIS OF THERMAL DECOMPOSITION KINETICS AND THERMAL HAZARD ASSESSMENT OF NITROBENZOIC ACID ISOMERS BY DSC AND THERMOGRAVIMETRIC METHOD by Xin Yi Li, Zhi Xiang Xing, Ye Cheng Liu, Yang Cheng, An Chi Huang

“…The thermal decomposition mechanism was further explained using density functional theory (DFT) methods, focusing on the Mayer bond order. …”
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Fault tidentification method of outage transmission line based on convolutional neural network and wavelet packet decomposition by WANG Xinming, WANG Xiangyu, JIA Xiaobo, ZHANG Feifei, LI Shaobo, HU Yongqiang

“…For double-circuit transmission lines on the same tower, an outage line fault identification method using spectrum graph generated by wavelet packet decomposition as a convolutional neural network (CNN) input is proposed. …”
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Statistical package for computing precision covariance matrices via modified Cholesky decomposition by Elías D. Niño-Ruiz, Dylan Samuel Cantillo Arrieta, Giuliano Raffaele Frieri Quiroz, Nicolas Quintero Quintero

“…We introduce a statistical package designed to compute precision covariance matrices using modified Cholesky decomposition, tailored for Atmospheric General Circulation Models (AGCMs). …”
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A Spatial–Temporal Time Series Decomposition for Improving Independent Channel Forecasting by Yue Yu, Pavel Loskot, Wenbin Zhang, Qi Zhang, Yu Gao

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Identification of Dielectric Response Parameters of Pumped Storage Generator-Motor Stator Winding Insulation Based on Sparsity-Enhanced Dynamic Decomposition of Depolarization Curr... by Guangya Zhu, Shiyu Ma, Shuai Yang, Yue Zhang, Bingyan Wang, Kai Zhou

Subjects: “…polarization/depolarization current method…”
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TR-SNN: a lightweight spiking neural network based on tensor ring decomposition by Shifeng Mao, Baoxin Yang, Hongze Sun, Wuque Cai, Daqing Guo

“…Nevertheless, these methods often involve complex training processes and are prone to significant accuracy loss.Methods In this work, we propose a novel TR-SNN model that achieves parameter compression using tensor ring decomposition. …”
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Structuring scientific works in the “Introduction, Methods, Results and Discussion” format – what a beginner ought to know by N. V. Avdeeva, G. A. Lobanova

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Benzoyl peroxide decomposition on the surface of carbon materials on the base of activated carbon KAU by D. M. Haliarnyk, E. M. Demianenko, O. M. Bakalinska, T. V. Kulyk, B. B. Palyanytsya, A. G. Grebenyuk, V. S. Kuts, M. T. Kartel

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Existence, Uniqueness and Convergence Solution of Nonlinear Caputo-Fabrizio Fractional Biological Population Model by Ali Khalouta

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Robust Design Optimization of Viscoelastic Damped Composite Structures Integrating Model Order Reduction and Generalized Stochastic Collocation by Tianyu Wang, Chao Xu, Teng Li

“…This study presents a novel approach that integrates model order reduction (MOR) and generalized stochastic collocation (gSC) to enhance robust design optimization (RDO) of viscoelastic damped composite structures under material and geometric uncertainties. …”
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