Theoretical and empirical validation of software trustworthiness measure based on the decomposition of attributes by Hongwei Tao, Yixiang Chen, Hengyang Wu

“…However, little attention has been paid to using more rigorous methods and to performing theoretical validation. …”
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Intelligent hybrid method to predict generated power of solar PV system by Prashant Singh, Navneet Kumar Singh, Asheesh Kumar Singh

“…The suggested hybrid model's performance is evaluated and compared to alternative forecasting methods. It is discovered that the suggested model produces more accurate forecasts in terms of MAE, RMSE, and MSE. …”
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Distributed Optimal Power Flow for Large-Scale Multi-Area Interconnected Power Systems by Qingju Luo, Jizhong Zhu, Haohao Zhu, Di Zhang

“…This letter proposes a distributed OPF approach based on the modified decomposition-coordination interior point method (DCIPM). …”
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Catalytic decomposition of ozone in air by Mn-modified zeolite molecular sieves by Haoyue CHEN, Zhuonan GUO, Yingshu LIU, Xiong YANG, David Youhong PUI, Ziyi LI

“…This study investigates the catalytic performance of modified zeolites for ozone decomposition by adjusting their topological structure, cation form, modification, and drying methods to enhance their adsorption and catalytic properties. …”
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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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Antibacterial property of hydroxyapatite extracted from biological sources and doped with Cu2+ and Ag+ by Sol-gels method by Mahsa Abbasi, Mehdi Rashnavadi, Milad Gholami, Somayeh Molaei

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Modified Non-Negative Constraint Damping Method for T2 Spectrum Inversion of Nuclear Magnetic Resonance by LEI Xin, LIAO Xinkai, LIAO Lidan

“…Through mathematical modeling and theoretical deduction, it is proved that the algorithm can retain the effective information of T2 spectrum better, and reduce the influence of noise on the solution of inversion problem more effectively. Numerical examples show that the new algorithm has better and more stable inversion effect than the modified truncated singular value decomposition method and damping method, especially in the case of low signal-to-noise ratio, the new algorithm has more obvious advantages, and can further optimize the NMR logging technology.…”
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Performance Enhancement of GPS/INS Integrated Navigation System Using Wavelet Based De-noising method by narjes davari, Asghar Gholami, mohammad shabani

“…Optimum values of the level of decomposition are selected to obtain minimum error. Successfully performing the de-noising method improves the sensors’ signal-to-noise ratios and removes short term errors mixed with motion dynamics and finally provides cleaner and more reliable data to the INS. …”
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One-Step Synthesis AlCo₂O₄ and Derived “Al” to Double Optimise the Thermal Decomposition Kinetics and Enthalpy of Ammonium Perchlorate by Kaihua He, Yanzhi Yang, Zhengyi Zhao, Zhiyong Yan, Xuechun Xiao

“…Among the samples prepared under different fuel ratios, considering all aspects (high-temperature decomposition temperature, activation energy, and decomposition heat) comprehensively, the AlCo₂O₄ prepared with φ = 0.5 had a more excellent catalytic effect on AP thermal decomposition, and the <i>T_HTD</i> of AP was reduced to 285.4 °C, which is 188.08 °C lower. …”
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A Noise Reduction Method for Photoacoustic Imaging <italic>In Vivo</italic> Based on EMD and Conditional Mutual Information by Meng Zhou, Haibo Xia, Hongtao Zhong, Jiayao Zhang, Fei Gao

“…The improvement of contrast-to-noise ratio is more than 2&#x00A0;dB and 3&#x00A0;dB, respectively, more than traditional wavelet threshold method and band-pass filter.…”
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Bearing Fault Diagnosis Method Based on Improved VMD and Parallel Hybrid Neural Network by Wuyi Chen, Huafeng Cai, Qiu Sun

“…In order to combat the difficulty of fault feature extraction and fault recognition in the field of bearing fault diagnosis, a bearing fault diagnosis method based on improved variational mode decomposition (VMD) and parallel hybrid neural network is proposed, which combines reweighted kurtosis (RK) with variable mode decomposition (VMD) and uses reweighted kurtosis as the evaluation index to select the decomposition times of variational mode decomposition, while removing part of the interference in the fault signal and retaining its impact characteristics. …”
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Complete Mode Spectrum Decomposition of Complex‐Structured Light by Computer‐Generated Holography by Yunfei Ma, Zilong Zhang, Yuqi Wang, Hongzhi Yang, Wei He, Lingyu Kong, Suyi Zhao, Xiaotian Li, Yetong Hu, Changming Zhao

“…To the best of the knowledge, this marks the inaugural use of a simple computational hologram method to fully decompose the mode spectrum information, thereby obtaining more crucial intrinsic information about the intermode phases without additional efforts. …”
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Evaluation of Modified Reflection Symmetry Decomposition Polarization Features for Sea Ice Classification by Tianlang Lan, Chengfei Jiang, Xiaofan Luo, Wentao An

“…Compared to traditional decomposition methods, MRSD provides a more detailed characterization of scattering mechanisms, offering a comprehensive understanding of the physical properties of sea ice. …”
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RESEARCH ON ROLLING BEARING FAULT FEATURE EXTRACTION METHOD WITH SGMD-MOMEDA (MT) by CAO YaLei, DU YingJun, WEI Guang, DONG XinMin, GAO LiPeng, LIU YuXi

“…Aiming at the problem that the vibration signal of rolling bearing is difficult to extract due to the characteristics of non-linear, non-stationary and low signal-to-noise ratio, a new fault extraction method based on symplectic geometry mode decomposition（SGMD） and multipoint optimal minimum entropy deconvolution adjusted（MOMEDA） theory is proposed. …”
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Fundamental properties and characteristics of flux distribution tallies using proper orthogonal decomposition by Kondo Ryoichi, Yamamoto Akio, Endo Tomohiro

“…This result indicates that the deterministic method might be more efficient for the snapshot calculation. …”
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Enhancing organic waste decomposition with addition of phosphorus and calcium through different sources by Frank Oshioname Unuofin, Msimelelo Siswana

“…A C:N ratio of 12 was achieved within 28 days where TSP was added, while RP, PHA and CaCl2 needed 42, 56 and more than 56 days, respectively. Conclusion It was evidently revealed from the results that P was basically the cause of the improved decomposition of the waste mixtures. …”
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Dynamical and Computational Analysis of Fractional Korteweg–de Vries-Burgers and Sawada–Kotera Equations in Terms of Caputo Fractional Derivative by N. S. Alharthi

“…The homotopy perturbation transform method (HPTM) and the Yang transform decomposition method (YTDM) are two sophisticated techniques employed to derive analytical solutions. …”
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Regional Differences in Agricultural Carbon Emissions in China: Measurement, Decomposition, and Influencing Factors by Jie Huang, Hongyang Lu, Minzhe Du

“…In order to precisely identify the sources of these ACE differences, this study estimates the ACE of China from 2005 to 2020 across four main emission sources and applies the bidimensional decomposition method of the Gini coefficient to measure and decompose their spatial disparities. …”
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Inequity in access to medications among communities in Eastern Ethiopia: a decomposition analysis by Dumessa Edessa, Fekede Asefa Kumsa, Girmaye Dinsa, Lemessa Oljira

“…Finally, we used RIF’s regression decomposition method to identify the significant contributors to the inequity. …”
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Integrated Approach to Ship Electrification Using Fuel Cells and an Ammonia Decomposition System by Onur Yuksel, Eduardo Blanco-Davis, David Hitchmough, G Viknash Shagar, Andrew Spiteri, Maria Carmela Di Piazza, Marcello Pucci, Nikolaos Tsoulakos, Milad Armin, Jin Wang

“…The results indicate that green and pink ammonia feedstocks achieve maximum equivalent carbon dioxide reductions in the electrification plant of up to 47.28% and 48.47%, respectively, compared to H₂-BS and 95.56% and 95.66% compared to the base scenario. Ammonia decomposition systems prove more economically viable than H₂-BS due to lower storage and fuel costs, leading to competitive LCOE values that improve under higher carbon pricing scenarios.…”
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