Dynamic Stochastic Model Optimization for Underwater Acoustic Navigation via Singular Value Decomposition by Jialu Li, Junting Wang, Tianhe Xu, Jianxu Shu, Yangfan Liu, Yueyuan Ma, Yangyin Xu

“…To address this challenge, we propose a depth-constrained adaptive stochastic model optimization method based on singular value decomposition (SVD). …”
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Research on nonlinear constraint assessment model of power grid based on generalized Benders decomposition by Bo Jia, Le Kang, Yide Xie, Yue Xu

“…The generalized Benders decomposition method is used to decompose the model into main problem and sub-problems, the main problem is solved iteratively by linear evaluation, and the sub-problems are solved iteratively by interior point method. …”
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Uncertainty Decomposition to Understand the Influence of Water Systems Model Error in Climate Vulnerability Assessments by Scott Steinschneider, Jonathan D. Herman, John Kucharski, Marriah Abellera, Peter Ruggiero

“…The method is applied to a reduced complexity multi‐reservoir systems model of the Sacramento‐San Joaquin River Basin in California to demonstrate the decomposition of flood risk and water supply uncertainties under an ensemble of climate change scenarios. …”
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Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog by Jun Pan, Huizhang Shen, Zhong Chen

“…So, in this paper, we aim at introducing K-Core decomposition method from complex network to the analysis on how to manage the diffusion of mass incident in Weibo based on agent based model which can simulate Weibo user’s actions when mass incident happens. …”
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MODELING OF THE LITHOSPHERE IN THE WHITE SEA REGION USING DECOMPOSITION OF ANOMALOUS GRAVITATIONAL AND MAGNETIC FIELDS by B. Z. Belashev, L. I. Bakunovich, N. V. Sharov

“…The decompositions of the fields were provided by the singular spectral method in the software package "R 4.3.1". …”
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The Impact of Dividend Policy on Liquidity Risk Components Based on Covariance Decomposition by Hamidreza Moazeni, Saeed Fathi

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A Micro-Topography Enhancement Method for DEMs: Advancing Geological Hazard Identification by Qiulin He, Xiujun Dong, Haoliang Li, Bo Deng, Jingsong Sima

“…Geological hazards in densely vegetated mountainous regions are challenging to detect due to terrain concealment and the limitations of traditional visualization methods. This study introduces the LiDAR image highlighting algorithm (LIHA), a novel approach for enhancing micro-topographical features in digital elevation models (DEMs) derived from airborne LiDAR data. …”
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Fractional Order Mathematical Model for Predicting and Controlling Dengue Fever Spread Based on Awareness Dynamics by Ahmed S. Rashed, Mahy M. Mahdy, Samah M. Mabrouk, Rasha Saleh

“…The system of equations is solved using the Adomian Decomposition Method (ADM) since it converges rapidly to the exact solution and can give explicit analytical solutions. …”
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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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AGE-STRUCTURED (SVEIHR) MODEL FOR DIPHTHERIA TRANSMISSION ANALYSIS by mutairu Kolawole, Oladele Ojo FADARA, kazeem Abidoye ODEYEMI

Subjects: “…age-structured modeling, basic reproduction number, stability analysis, treatment rate, laplace adomian decomposition 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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