Research on multi-scenario adaptive acoustic encoders based on neural architecture search by Yiliang Wu, Yiliang Wu, Xuliang Luo, Xuliang Luo, Fengchan Guo, Tinghui Lu, Tinghui Lu, Cuimei Liu

“…The SAAE method achieves an average error rate reduction of more than 5% compared with existing acoustic encoders, highlighting its capability to deeply analyze speech features in specific scenarios and design high-performance acoustic encoders in a targeted manner.…”
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Arbitrary Waveform Voltage Measuring Converter for Wideband AC Voltmeter by O. V. Dvornikov, U. N. Bakhur, A. G. Bakhir, U. M. Lazouski, V. A. Tchekhovski

“…The aim of the paper was to develop a measuring AC RMS-DC converter of arbitrary shape voltage in which special attention is paid to modernization of the TEC and reduction of the AC RMS-DC converter error using corection of the frequency response of the input amplifier and introduction automatic calibration of the output voltage. …”
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Algorithmic Support of Adaptive Automatic Control Systems with Data Compression by V. V. Alekseev, E. M. Antonyuk, I. E. Varshavskiy

“…Automatic criteria-based selection and reduction of measurement information continuously supplied by multi-parameter sources characterizing the objects under study require algorithms ensuring reconfiguration of automatic control systems during operation. …”
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A neural network-based synthetic diagnostic of laser-accelerated proton energy spectra by Christopher J. G. McQueen, Robbie Wilson, Timothy P. Frazer, Martin King, Matthew Alderton, Ewan F. J. Bacon, Ewan J. Dolier, Thomas Dzelzainis, Jesel K. Patel, Maia P. Peat, Ben C. Torrance, Ross J. Gray, Paul McKenna

“…Trained on data from fewer than 700 laser-plasma interactions, the model achieves an error level of 13.5%, and improves with more data. …”
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The Influence of Variable Operating Conditions and Components on the Performance of Centrifugal Compressors in Natural Gas Storage Reservoirs by Hua Chen, Gang Li, Shengping Wang, Ning Wang, Lifeng Zhou, Hao Zhou, Yukang Sun, Lijun Liu

“…Verification results show that the conversion error of this method is within 2%. Based on the proposed performance prediction method for non-similar operating conditions, the effects of varying inlet temperatures, pressures, and natural gas compositions on compressor performance are investigated. …”
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Calculation of Correction Factors for Vickers’ Hardness Measurements on a Non-Planar Surface by S. G. Sandomirski, A. L. Val’ko, S. P. Rudenko

“…Simplification of calculation of K coefficient and decrease of calculation error in comparison with the recommended in the regulatory documents obtaining of K value by linear interpolation relative to two adjacent table values are shown.The reduction of the calculation error in comparison with the calculation recommended in the regulatory documents occurred because of the reason that when calculating by the developed formulas, the error in the value of the calculated for a specific value of d/D coefficient K is averaged over all n values of d/D given in the table of GOST for a given surface. …”
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A Reduced-Order Algorithm for a Digital Twin Model of Ultra-High-Voltage Valve-Side Bushing Considering Spatio-Temporal Non-Uniformity by Yongsheng He, Yongfu Li, Xiangcheng Li, Yanan Yuan, Fan Yang, Zongxiang Lu

“…This proposed method reduces the calculation time to 10% of the full-order simulation model while controlling the error range of the key research area less than 0.1%. …”
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The Impact of Rain on Image Quality From Sensors on Connected and Autonomous Vehicles by Tim Brophy, Darragh Mullins, Robert Cormican, Enda Ward, Martin Glavin, Edward Jones, Brian Deegan

“…The results show a 45% reduction in SNR at 40 m and 38 mm/h, a 70% maximum decrease in Weber contrast at 30 m and 38 mm/h, and a 42% increase in color error as a result of rain in the environment. …”
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DCT-DiffPose: A Lightweight Diffusion Model With Multi-Hypothesis for 3D Human Pose Estimation by Linzhan Zhong, Fangni Chen, Bolun Zheng, Rui Feng, Lei Zhang, Jian Wan

“…Our method achieves a 19% lower Mean Per Joint Position Error (MPJPE) and a 55% reduction in FLOPs compared to D3DP. …”
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Service-Life Study of Polycarbonate Outdoors Using Python with Incomplete Data by Jiangfeng An, Duncheng Peng, Xuejie Zhou, Jun Wu, Penghua Zheng

“…The results indicated that (1) the degradation of PC tensile properties is mainly affected by the experimental period (76.37%), whilst the effect of the environmental or pollutant factors on the degradation is less pronounced (23.63%); (2) the classification accuracy of the trained model on the training set is 91% (91/100), and on the testing set is 72.13% (44/61); and lastly, (3) it is inferred from the error analysis of the classification results that the performance change of polycarbonate in Qionghai and Wuhan is characterized by an initial reduction followed by a slight improvement. …”
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Research on obstacle avoidance for aerial work vehicle booms with light arrays based on an improved gradient projection method by Yi HUANG, Lei DENG, Kangyi DENG, Qin SHU, Guangan REN, Zhihong ZHOU

“…At the same time, the end position error reduction algorithm is added to reduce the end velocity and improve the trajectory tracking accuracy. …”
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Synchronization and demodulation of LoRa null port data by Lei Fang, Chen Bo, Lv Jingzhao, Li Pingan, Du Haitao, Li Su

“…The code rate is 4/5 with the best effect error correction, and the noise resistance performance improves by about 1 dB.…”
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Significant Influence on Residual Bending Strength by Cracks Generation During Grinding of Ceramics by Jinshuo Zhang, Tianyi Sui, Bin Lin, Bingrui Lv, Jingming Li, Jingguo Zhou

“…Subsequently, using resin-bonded and electroplated wheels as case studies, the influence of different process parameters on grinding damage and residual bending strength is explored. The reduction of brittle removal can lead to a 50%–60% decrease in residual bending strength. …”
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Application of Non-Linear System Model Updating Using Feature Extraction and Parameter Effects Analysis by John F. Schultze, François M. Hemez, Scott W. Doebling, Hoon Sohn

“…The first is a new approach at data reduction called feature extraction. This approach is an expansion of the `classic' update metrics to include specific phenomena or character of the response that is critical to model application. …”
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NSGT: A Plasma Position Prediction Method for the HL-2A Tokamak Device Based on Transformer by Ling Zhou, Bin Yang, Xiangcheng Lin, Kaihao Zhu, Ziran Lan, Xiangwen Li

“…The experimental results show that the NSGT model has a significant reduction in the root - mean - square error of prediction compared with the LSTM method, effectively supporting the real - time adjustment of the closed - loop control system. …”
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Toward Universal Multiplexer Multiply-Accumulate Architecture in Stochastic Computing by Yang Yang Lee, Zaini Abdul Halim, Mohd Nadhir Ab Wahab, Tarik Adnan Almohamad

“…Stochastic Computing (SC) has recently gained attraction due to its inherent error tolerance and extremely simple arithmetic hardware, making it particularly effective for accelerating modern applications such as neural networks on resource-constrained devices. …”
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Modeling and Simulation of Eddy Current Dissipation Magnetic Acceleration Noise of Space Inertial Sensors by Pengxuan Li, Zhiyin Sun, Wei Gao, Bingzhang Cao, Yunzhao Li, Liyi Li, Lei Wang

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Dairy Chain Safety in the Context of Antibiotic Residues—Current Status of Confirmatory Liquid Chromatography Methods: A Review by Sandra Dluhošová, Klára Bartáková, Lenka Vorlová, Pavlína Navrátilová, Oto Hanuš, Eva Samková

“…The current trends include the reduction in the consumption of organic solvents (to reduce occupational hazards and burden to the environment) and automation, eliminating the influence of human error and optimizing the workflow. …”
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Cognitive Load Identification of Pilots Based on Physiological-Psychological Characteristics in Complex Environments by Haibo Wang, Naiqi Jiang, Ting Pan, Haiqing Si, Yao Li, Wenjing Zou

“…This research is able to provide a useful reference for preventing and reduction of human error caused by the cognitive load during flight missions. …”
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New Makeup Air Method through Ceiling for Kitchen Ventilation in Severely Cold Regions and Its Effect on Air Environment by Xiaoxu Li, Kailiang Huang, Guohui Feng, Guanyu Cao, Ainong Li, Xu Teng

“…Moreover, it increased the indoor temperature by over 11.9 °C compared with the open window makeup air scheme. The average relative error between the experimental and simulated data was within 6.1%. …”
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