Biased innovation and network evolution: digital driver for green innovation of manufacturing in China by Yang Liu, Jing Cheng, Jingjing Dai

“…This study uses a modified gravity model and social network analysis method to conduct a robust assessment of GIIM spatial association network of 30 provinces in China from 2012 to 2021. …”
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Monte Carlo Simulation for the Frequency Comb Spectrum of an Atom Laser by Alexej Schelle

“…This new quantum approach uses time periodicity and an orthogonal decomposition of the quantum field in a complex-valued quantum field representation to derive and model the quantum field's forward- and backward-propagating components as a standing wave field in the same unique time and temperature domain without quantitative singularities at finite temperatures. …”
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VHR Multispectral Satellite Image Classification with Kolmogorov-Arnold Networks for Urban Applications by M. Fawzy, M. Fawzy, Á. Barsi

“…Additionally, KAN is benchmarked against other methods like traditional Shallow Neural Networks (SNNs). …”
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Frequency-Dependent Scaling Factors to Estimate Multiple Time-Period Global Mass Changes Observed by GRACE/GRACE-FO by Zhenran Peng, Linsong Wang, Qing Liang, Chao Chen

“…This study presents a novel method for computing frequency-dependent scaling factors (FDSFs) using spherical harmonic decomposition of GRACE/GRACE-FO Level-2 data at full frequency. …”
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Identification and Disease Index Inversion of Wheat Stripe Rust and Wheat Leaf Rust Based on Hyperspectral Data at Canopy Level by Hui Wang, Feng Qin, Qi Liu, Liu Ruan, Rui Wang, Zhanhong Ma, Xiaolong Li, Pei Cheng, Haiguang Wang

“…To improve the identification accuracy, it was suggested that a combination model could be constructed with one SVM model and two models built using K-nearest neighbors (KNN) method. …”
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Multi-Task Image Restoration Algorithm Under Different Weather Influence Factors by Lingwen Meng, Mingyong Xin, Junwei Zhang, Fu Zou, Qingqing Zhao

“…The results demonstrate that the proposed method achieves superior performance compared to the existing state-of-the-art.…”
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Application of the Non-Hermitian Singular Spectrum Analysis to the Exponential Retrieval Problem by D. J. Nicolsky, G. S. Tipenko

“…Efficiency of the proposed and existing methods is compared on the set of examples, including the white Gaussian and auto-regressive model noise. …”
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Price transmission and market integration analysis of black gram (urad dal) across major Indian states by Sukhvir Singh, Amit Guleria, Parvender Sheoran, Pankaj Sood, Vishal Mahajan, Dharminder Kumar, Satbir Singh, Gurdeep Singh, Rajesh K. Rana

“…Various statistical tools, including CAGR, decomposition analysis, instability analysis, seasonal indices, correlation analysis, Johansen co-integration, Granger causality, Vector Error Correction Model (VECM), impulse response function, and variance decomposition, were used for data analysis.ResultsThe findings indicate that black gram production and price dynamics are influenced by multiple factors. …”
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Robust fault detection and severity classification in rotating machinery using VMD-LSTM for limited data scenarios by Ammar Mrabti, Ramdane Younes, Nouredine Ouelaa, Tarek Kebabsa, Zakarya Ouelaa

“…However, it faces difficulties due to complex, noisy fault signatures, non-stationary behavior, and the impracticality of obtaining large labeled datasets, limiting the effectiveness of both traditional and deep learning-based methods in real-world applications. This paper introduces a novel approach that combines Variational Mode Decomposition (VMD) and Long Short-Term Memory (LSTM) networks to improve gear and bearing defect detection, filling a gap in fault diagnostics by effectively handling limited training data. …”
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Robust interference alignment algorithm for cognitive MIMO interference network by Shi-lei ZHU, You ZHOU, Xiu-kun REN, Han-ying HU

“…A robust interference alignment algorithm was proposed for underlay cognitive MIMO interference network with imperfect channel-state information (CSI).Firstly,imperfect CSI was characterized by Euclidean ball-shaped uncer-tainty,based on which the optimization model of transmitting precoding and receiving interference subspace matrix was constructed with aimed of minimizing interference leak Then,primary users' interference temperature constraint un-der the worst-case condition was derived according to the matrix norm inequality.Finally,alternate iteration expressions of transceiver matrixes were obtained exploiting Lagrange partial dual-decomposition theory and sub-gradient update method.Moreover,the proposed algorithm's application condition and degrees of freedom range were theoretically ana-lyzed.Simulation results show that the proposed algor m is robust and its secondary users' network performance out-performs existing algorithms'.…”
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Vibroacoustic analysis of a clamped finite orthotropic laminated double-composite plate with an air cavity by Tran Ich Thinh, Pham Ngoc Thanh

“… The vibroacoustic analysis of a clamped finite orthotropic laminated double-composite plate with a closed air cavity is investigated analytically presented within classical laminated plate theory for laminated composite plate. Using the method of modal decomposition, a double Fourier series solution is obtained to characterize the vibroacoustic performance of the structure. …”
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Entrepreneurial engagement and technical grants funding: Analysis of structurally behavioural determinants and economic factors by Abiola John Asaleye, Thobeka Ncanywa

“…The Autoregressive Distributed Lag and Canonical Cointegrating Regression models were employed for robustness checks, and the results remained consistent across these methods. …”
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WTDBNet: A Wavelet Transform-Based Dual-Stream Backbone Network for Fine-Grained Ship Detection by Wei Cao, Xinyu Zhao, Hongqi Wang, Yuxin Hu

“…This paper presents a novel model, called Wavelet Transform-based Dual-Stream Backbone Network (WTDBNet), which effectively integrates three key strengths: the ability of the Transformer to model long-range dependencies for global context, the capability of convolutional neural networks to extract detailed local features, and the efficiency of wavelet transform in frequency-domain decomposition for enhancing edges and texture details. …”
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Trends and cross-country inequalities in dengue, 1990-2021. by Mingzhu Zhou, Yong He, Liangmiao Wu, Kaiyuan Weng

“…We utilized the GBD database for epidemiological trends, demographic analysis, epidemiological decomposition, cross-national inequality and predictive modeling for the global dengue burden up to 2051 were also performed.…”
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An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention by Bin Jiang, Hao Wu, Qingling Xia, Hanguang Xiao, Bo Peng, Li Wang, Yun Zhao

“…Therefore, the proposed RIE model possesses both lightweight computational requirements and reliable performance, providing an efficient deep learning method for gesture recognition based on sEMG.…”
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Design a low-noise 5GHz wideband microwave power amplifier using 90nm CMOS technology with area reduction employing an active inductor by Taha Naufal Fadhil, A.Z. Yonis

“…To ensure that the circuit is compatible with the source impedance, methods such as inductive source decomposition and single-stage common source decomposition are employed. …”
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Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint by Yanan Guan, Huaping Xu, Wei Li, Chunsheng Li

“…Based on the proposed criterion, a low-rank and sparse decomposition method is modified using nonlocal similar patch matrix construction to separate the sparse wake. …”
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Time-Series Mapping of PM10 Concentration Using Multi-Gaussian Space-Time Kriging: A Case Study in the Seoul Metropolitan Area, Korea by No-Wook Park

“…The deterministic trend component is modelled and regionalized using the temporal elementary functions. …”
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Analysis and comparison of the burden of male breast cancer: differences between the global, China, India, and the United States by Baiping An, Mengqi Che, Yuxin Liu, Xinrong Yang, Zhuohong Li

“…This study reviewed the trends of MBC burden in China, the United States of America, India, and worldwide from 1990 to 2021. Methods Data was obtained from the Global Burden of Disease (GBD) 2021 study. …”
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Research on underwater target detection error compensation based on improved binocular vision by Wenhui Wang, Fumeng Ye, Yumin Peng, Shi Dong

“…A novel binocular vision error compensation method is proposed to solve the major error compensation problem caused by nonlinear distortion of camera and projector on underwater target detection. …”
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