Broadband Three-Section Branch-Line Coupler Realized by Ridge Gap Waveguide Technology From 12 to 20 GHz by Parisa Mahdavi, S. Esmail Hosseini, Pedram Shojaadini

“…The novel ridge-gap waveguide (RGW) technology which uses an entire metal structure has various advantages at high frequencies, such as broad bandwidth, low loss, low sensitivity to manufacturing errors, and uncomplicated integration with passive and active components. …”
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Research on the Time-varying Meshing Stiffness Algorithm of Spur Gears with Large Tooth Number Cracks by Jiao Wei, Xu Kejun, Qin Haiqin

“…According to the degree of cracks, the modeling suggestion for the effective tooth thickness reduction limit line is given: when the crack level is low, the effective tooth thickness reduction limit line should be a straight line; when the crack level is high, using a straight line will cause significant errors. Using a diagonal line is not only convenient for calculation, but also can meet the requirements of calculation accuracy and has stronger practicability.…”
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Towards enhanced photovoltaic Modeling: New single diode Model variants with nonlinear ideality factor dependence by Martin Ćalasan, Snežana Vujošević, Gojko Krunić

“…The energy sector is increasingly challenged to transition to sustainable and renewable energy sources. …”
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End-to-End Multi-Modal Speaker Change Detection with Pre-Trained Models by Alymzhan Toleu, Gulmira Tolegen, Alexandr Pak, Jaxylykova Assel, Bagashar Zhumazhanov

“…To address class imbalance, we apply focal loss, which reduces errors for the difficult samples, leading to better balanced performance. …”
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A Conditional Simulation Method for Predicting Wind Pressure Fields of Large-Span Spatial Structures by Fangjin Sun, Tiantian Liu, Daming Zhang, Zhonghao Xu

“…The proposed method effectively reduces the dimensionality of the predicted wind pressures, with reduced errors, higher accuracy, and increased efficiency.…”
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Design and simulation of control strategy for medium and high speed zone of ship’s main propulsion motor by Yan Langtao, Liu Guangyin, Ren Yiran

“…Abstract The paper addresses issues of chattering and long transition time in permanent magnet marine main propulsion motors at medium and high speeds. …”
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New strategies for probing $$B\rightarrow D^*\ell \bar{\nu }_\ell $$ B → D ∗ ℓ ν ¯ ℓ lattice and experimental data by M. Bordone, A. Jüttner

“…We find tensions when comparing analyses based on different combinations of experimental or theoretical input, requiring the introduction of a systematic error for some of our results.…”
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Digitalization of control and supervision activities: Russian and French experience by Elena V. Gritsenko, Pavel A. Kuryndin

“…Such an approach would also ensure compliance with the basic principles of proportionality and the prohibition of excessive formalism in the meaningful differentiation of errors and violations committed in the course of electronic communication. …”
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Numerical Model Updating and Validation of a Truss Railway Bridge considering Train-Track-Bridge Interaction Dynamics by Mohammad Sadegh Ayubirad, Shervan Ataei, Mosabreza Tajali

“…Results indicated that the sensitivity-based FE model updating significantly enhanced model accuracy, reducing the average frequency errors from 11% to much lower 3%. In addition, the FE model was validated through static load tests using an EMD GT26 locomotive. …”
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CrysMTM: a multiphase, temperature-resolved, multimodal dataset for crystalline materials by Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban

“…For example, bandgap predictions exhibit errors exceeding 25%, while volumetric expansion and atomic displacement estimations frequently deviate by more than 100%. …”
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Research on velocity measurement and location method based on improved Kalman filter algorithm by Zhao Zhang, Jie Yang, Jusong Jiang

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Machine learning-based pseudo-continuous pedotransfer function for predicting soil freezing characteristic curve by Sangyeong Park, Yongjoon Choe, Hangseok Choi, Khanh Pham

“…Significant reductions in root mean square error and mean absolute error of 42% and 55%, respectively, demonstrated the superiority of the XGB-PTF. …”
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A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies by Yingchun He, Yi-haw Jan, Fan Yang, Yunru Ma, Chun Pei

“…Spearman’s rank correlation analysis, intraclass correlation coefficient (ICC), error analysis, and t-test were conducted to compare the consistency of data obtained from the two movement capture systems, including the peak frequency of acceleration, transition time point between movement statuses, and the complexity index average (CIA) of the movement status based on multiscale entropy analysis.The KR algorithm showed excellent consistency (ICC1,3=0.988) between the two methods when estimating the peak acceleration frequency. …”
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Improved flow prediction of non-ideal sonic nozzles by CFD-based surrogate modelling by Sebastian Weiss, Bodo Mickan, Kilian Oberleithner, Markus Bär, Sonja Schmelter

“…The flow predictions of the surrogate model for the aforementioned parameterised contours are in much better agreement with experimental data for the respective test nozzle contour, exhibiting an average root mean square error of 0.17% over all test nozzles compared to the associated standard, with an average root mean square error of 0.35%. …”
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An Active Ground Fault Location Method for Low-Voltage DC Lines Based on DFFT by Fulu CAO, Jinbin ZHAO, Chao PAN, Ling MAO, Keqing QU

“…At the same time, a secondary curve fitting construction curve method is used to reduce the impedance errors caused by spectral leakage and frequency domain reactance waveform oscillation and to obtain the accurate fault location. …”
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Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network by Zhesi Cui, Qiyu Chen, Jian Luo, Xiaogang Ma, Gang Liu

“…However, implicit non‐linear correlations among diverse data sources often remain underutilized, leading to potential bias and errors. In this study, we introduce a multiple‐condition fusion network (MCF‐Net) to characterize subsurface structures based on both hard and soft data. …”
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Analysis Of The Dynamics Of Cashless Payments In Kazakhstan In The Context Of The Covid-19 Pandemic by A. Kredina, A. Akparova, L. Vasa

“…The COVID-19 pandemic has accelerated the development of FinTech and the transition to cashless payments of the population of various countries, including Kazakhstan. …”
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An Analytical Model of Wavelength-dependent Opposition Surge in Emittance and Reflectance Spectroscopy of Airless Rocky Exoplanets by Leonardos Gkouvelis

“…My results indicate that neglecting opposition effects can introduce systematic deviations in retrieved albedos, spectral features, and phase curves, with errors reaching up to 20%–30% in certain spectral bands. …”
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Problems of Scientometrics and its Suitability for Management Scientific Activity in Modern Russia by А. V. Grinev

“…The data and recommendations obtained as a result of the study will help management structures avoid obvious omissions and errors in planning and monitoring the scientific activities of university and academic research institute staff, as well as optimize scientometric reporting.…”
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Deep-learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy by Yuta Tokuoka, Tsutomu Endo, Takashi Morikura, Yuki Hiradate, Masahito Ikawa, Akira Funahashi

“…The maximum prediction accuracy of our approach was 79.58% which rose to 98.33% with allowance for a prediction error of $$\pm 1$$ stage. Remarkably, although the model was not explicitly trained on the stage transition patterns, it inferred the patterns involved in the spermatogenesis. …”
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