A SAR wave-enhanced method combining denoising and texture enhancement for bathymetric inversion by Aijun Cui, Yi Ma, Jingyu Zhang, Ruifu Wang

“…To address this, we propose a wave texture enhancement method to balance noise reduction and texture preservation. …”
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Time-Frequency Analysis and Neural Network-Based Multipath Mitigation Method for Precise Positioning by Min-Ji Kim, O-Jong Kim, Jikang Lee, Changdon Kee, Juhyun Maeng

“…Experiments conducted under challenging indoor conditions demonstrate an approximately 30% reduction in the positioning error after applying the proposed multipath mitigation methods.…”
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Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing by Yiyang HU, Lina QI

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Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing by Yiyang HU, Lina QI

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GDSMOTE: A Novel Synthetic Oversampling Method for High-Dimensional Imbalanced Financial Data by Libin Hu, Yunfeng Zhang

“…The failure of distance measurement in high-dimensional space, error accumulation caused by noise samples, and the reduction of recognition accuracy of majority samples caused by the distribution of synthetic samples are the main reasons that limit the performance of current methods. …”
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A Hybrid Dropout Method for High-Precision Seafloor Topography Reconstruction and Uncertainty Quantification by Xinye Cui, Houpu Li, Yanting Yu, Shaofeng Bian, Guojun Zhai

“…Compared to conventional dropout architectures, the proposed method achieves a PSNR increase of 46.5% to 60.5% in test regions with a marked reduction in artifacts. …”
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A Lightweight Design Method for Aviation Gear Web based on OptiStruct-Abaqus by Yandong Wang, Siyu Chen, Jinyuan Tang

“…The actual optimal design results show that under the condition of guaranteeing strength and transmission error, the overall weight of the gear is reduced by 39.6%, and the effect of weight reduction is obvious, thus realizing the goal of gear lightweight design.…”
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An asymptotically unbiased 3D source localisation method based on frequencies and angles measurements by Chenggeng Zhao, Heyue Huang, Xingpeng Mao, Junjie Lang, Xiuquan Dou

“…To solve the above problem, a quadratic constraint on least squares minimisation is considered in the bias reduction method. Under moderate Gaussian noise, theoretical analysis and simulation results show that the root mean square error of proposed method can significantly reduce positioning deviation and asymptotically approach the Cramer–Rao Lower Bound. …”
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Navigation Decision-Making Method in Estuary Deep Trough with Varying Width of Navigable Waters by HE Yixiong, DAI Yonggang, ZHAO Xingya, YU Deqing, HUANG Liwen

“…In preset scenarios, the method proposed ensures all safe passage targets with adjustments of course 7° to starboard, course 2° to starboard with a telegraph order reduction to forward 1, course 5° to starboard with a telegraph order reduction to forward 1 at 241 s, 1 484 s, and 4 119 s respectively. …”
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Self-adaptive simulation method for natural gas pipeline considering temperature and pressure compensations by Xiong YIN, Bo XU, Tianyao LIU, Kai WEN, Weihe HUANG, Jing GONG

“…Conclusion The proposed self-adaptive simulation method for natural gas pipelines considering temperature and pressure compensations, stands out for its stable algorithm, rapid error correction, and minimal convergence error. …”
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The Combination of Spectrum Subtraction and Cross-power Spectrum Phase Method for Time Delay Estimation by Feng BIN, Xu LEI

“…In order to solve the problem of large error of delay estimation in low SNR environment, a new delay estimation method based on cross power spectral frequency domain weighting and spectrum subtraction is proposed. …”
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Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM by JI Chenxing, LI Peng, ZHANG Tianxiang, GAO Yulong

“…By employing performance metrics such as ambiguity function and bit error rate, and through comparative simulation analysis, the feasibility and effectiveness of the optimization methods were verified.…”
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A Hybrid Framework for Metal Artifact Suppression in CT Imaging of Metal Lattice Structures via Radon Transform and Attention-Based Super-Resolution Reconstruction by Bingyang Wang, Zhiwei Zhang, Heng Li, Ronghai Wu

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Advancing Metal Additive Manufacturing: A Review of Numerical Methods in DED, WAAM, and PBF by Allen Love, Omar Alejandro Valdez Pastrana, Saeed Behseresht, Young Ho Park

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Quantitative Method for Ultrasonic Testing of Lead Seal Defects in High Voltage Cable Accessories by Zheng Hai, Cai Qiushen, Zheng Jishi, Zhen Zhiming, Zou Wei, Chen Jianping

“…The findings reveal significant improvements over the traditional −6dB method: a 5% reduction in distance error, a 10% enhancement in defect size accuracy, and an overall accuracy rate exceeding 85%. …”
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Ionospheric Time Series Prediction Method Based on Spatio-Temporal Graph Neural Network by Yifei Chen, Yang Liu, Kunlin Yang, Lanhao Li, Chao Xiong, Jinling Wang

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An evaluation of multi-fidelity methods for quantifying uncertainty in projections of ice-sheet mass change by J. D. Jakeman, M. Perego, D. T. Seidl, T. A. Hartland, T. R. Hillebrand, M. J. Hoffman, S. F. Price

“…The problem size and complexity were chosen to reflect the challenges posed by future continental-scale studies while still facilitating a computationally feasible investigation of MFSE methods. When quantifying uncertainty introduced by a high-dimensional parameterization of the basal friction field, MFSE was able to reduce the mean-squared error in the estimates of the statistics by well over an order of magnitude when compared to a single-fidelity approach that only used the highest-fidelity model. …”
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Underwater acoustic signal denoising method based on DBO–VMD and singular value decomposition by A. Weiyi Chen, B. Shizhe Wang, C. Zongji Li, D. Li Dong

“…The results show that our proposed method has a more significant denoising effect, exhibiting certain advantages in evaluation indicators, such as SNR and root mean square error. …”
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Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

“…Gas emission in the working face is influenced by a variety of factors. Dimensionality reduction methods, such as Principal Component Analysis, can reduce computational resources but may alter the original feature structure, leading to a loss of some detailed information in the dataset. …”
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A High-Precision Real-Time Temperature Acquisition Method Based on Magnetic Nanoparticles by Yuchang Zhu, Li Ke, Yijing Wei, Xiao Zheng

“…Compared with the opposition learning gray wolf optimizer and particle swarm optimization–gray wolf optimization, the proposed method achieves reductions of 52% and 68%, respectively. …”
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