Application of the Rational Hermite Interpolation LMD Method in the Compound Fault Diagnosis Research by Cui Yanping, Lu Zhaojing, Wu Chunyu

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A Low-Complexity Euclidean Orthogonal LDPC Architecture for Low Power Applications by M. Revathy, R. Saravanan

“…The Euclidean orthogonal generator is used to reduce the error rate of the proposed LDPC architecture, which can be incorporated between check and variable node architecture. …”
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Generalized 2D polynomial chaotic map and its application in information transmission by Wenhao YAN, Zijing JIANG, Xin HUANG, Shujuan ZHU, Qun DING

“…Existing chaotic systems have many defects in engineering applications, such as discontinuous chaotic parameter range, weak chaos, uneven output of chaotic sequences and dynamic degradation.Therefore, a generalized 2D polynomial chaotic mapping model was proposed.By setting different control parameters and the highest degree of polynomial, a series of 2D robust chaotic maps with specific Lyapunov exponent could be obtained.In order to avoid the output of the second state equation collapsing to a fixed value, a random disturbance variable which did not change with time was introduced.Finally, a numerical example was given to verify the effectiveness of the proposed model, and the dynamic analysis showed that the mapping has complex dynamic behavior.Finally, the system was applied to information transmission technology.Compared with other chaotic maps, the system can achieve lower bit error rate, which indicates that the chaotic map is more suitable for chaotic information transmission.…”
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Experimental Analysis and Simulation Application of 1.5MW Wind Turbine Gearbox by Ruoyu Xu, Jie Chen, Rongjing Hong

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Security of School Financial Transaction Applications with the Implementation of Two Factor Authentication Method by Novi Hardiansyah, Rima Aulia, Angelina Hadriani

“…Financial transactions over the internet often become targets of cyber attacks that can harm users in conducting transactions due to negligence from both the system and human error. This research will focus on the security level of the SIKOLAH financial application, where every school financial transaction will be conducted online. …”
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A Hierarchical Statistical Framework for Emergent Constraints: Application to Snow‐Albedo Feedback by Kevin W. Bowman, Noel Cressie, Xin Qu, Alex Hall

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Bayesian and Non-Bayesian Inference for The Generalized Power Akshaya Distribution with Application in Medical by Ahlam Hamdy, Ehab M. Almetwally

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Heterogeneous Hesitant Fuzzy Preference Relation and Its Application in Group Decision-making by FENG Xue, GENG Shengling

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Unified Underwater Communication Positioning Navigation and Timing Network System Design and Application by Lipeng Huo, Mengzhuo Liu, Heng Wen, Zheng Peng, Yusha Liu, Xiaoxin Guo, Jun-Hong Cui

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Application of Strong Tracking Cubature Kalman Filter in Air-to-Air Missile Guidance by Liang Jinxin, Tang Qi, Cui Hao, Zhang Gongping

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Hybrid Controlled Multi-Input DC/DC Converter for Electric Vehicle Application by Mohan Bharathidasan, Vairavasundaram Indragandhi, Belqasem Aljafari

“…The use of energy sources for electric vehicle (EV) applications relies heavily on the power electronic interlinking and its successful control mechanism. …”
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Advances in Zeroing Neural Networks: Bio-Inspired Structures, Performance Enhancements, and Applications by Yufei Wang, Cheng Hua, Ameer Hamza Khan

“…Finally, we explore the diverse applications of ZNN models across various domains, including robot path planning, motion control, multi-agent coordination, and chaotic system regulation.…”
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Development and Application of Automated Assembly Testing Production Line for EMU Air Springs by HOU Jintao, DI Jiancai, LIU Xiaofeng, YAO Wei

“…Therefore, it is essential to study the development and application of an automated assembly testing production line for EMU air spring maintenance. …”
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Application of the Rasch model in streamlining an instrument measuring depression among college students by Sherwin Balbuena

“…The existing methodology in instrumentation based on a factor-analytic approach has limited applicability, especially in the detection of sources of measurement error in item- and person-level analyses. …”
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Application of explainable machine learning for estimating direct and diffuse components of solar irradiance by Rial A. Rajagukguk, Hyunjin Lee

“…Abstract The inclusion of diffuse horizontal irradiance (DHI) and direct normal irradiance (DNI) is crucial in the context of solar energy applications. However, most solar irradiance instruments primarily prioritize the measurement of global horizontal irradiance (GHI) due to the high cost associated with devices used to measure DNI and DHI. …”
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Application of Regression Analysis to Identify the Soil and Other Factors Affecting the Wheat Yield by Azhar Hayat, Muhammad Amin, Saima Afzal, Abdisalam Hassan Muse, Omer Mohamed Egeh, Hafiz Saqib Hayat

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Applicability Assessments of Close-Range Photogrammetry for Slope Face 3D Modelling by Haqul Baramsyah, Less Rich

“…The accuracy of 3D models is quite satisfactory with the mean error range from 0.008 to 0.018 m.…”
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Investigation of the Application of Measured Meteorological Observations in Real-Time Precise Point Positioning by Qinglan Zhang, Shirong Ye, Jingchao Xia, Peng Zhang, Dezhong Chen, Peng Jiang

“…Tropospheric delay is the main error source that affects the further improvement of the accuracy of space geodesy. …”
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Full-Wave Simulation of a Helmholtz Radiofrequency Coil for Magnetic Resonance Applications by Giulio Giovannetti, Denis Burov, Angelo Galante, Francesca Frijia

“…A magnetic resonance (MR) scanner employs radiofrequency (RF) coils to generate a magnetic field to excite the nuclei in the sample (transmit coil) and pick up the signals emitted by the nuclei (receive coil). To avoid trial-and-error approaches and optimize the RF coil performance for a given application, accurate design and simulation processes must be performed. …”
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Sustainable improvement and application of multilingual english translation quality using T5 and MAML by Hongping Sun, Biao Kong

“…To improve the translation effect and quality, this article combines the Text-To-Text Transfer Transformer (T5) and Model-Agnostic Meta-Learning (MAML) to study their sustainable improvement and application in multilingual English translation. In this article, the autoregressive learning method is first used to fine tune the pre-trained parameters of T5 model, and a generative multilingual English translation model is constructed. …”
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