Real-Time DTM Generation with Sequential Estimation and OptD Method by Wioleta Błaszczak-Bąk, Waldemar Kamiński, Michał Bednarczyk, Czesław Suchocki, Andrea Masiero

“…Since DTM generation occurs simultaneously with data acquisition, the proposed algorithm also incorporates data reduction techniques to manage the large dataset. The reduction is achieved using the Optimum Dataset Method (OptD). …”
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Model order reduction of boiler system using nature-inspired metaheuristic optimization of PID controller by Anurag Singh, Shekhar Yadav, Nitesh Tiwari, Dinesh Kumar Nishad, Saifullah Khalid

“…Experimental results demonstrate that the PSO-optimized PID controller achieves a 20% reduction in settling time and a 14.68% improvement in Integral Square Error (ISE) compared to conventional tuning methods. …”
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Multi-segment cooling design of a reflection mirror based on the finite-element method by Zhen Wang, Yajun Tong, Fang Liu, Chaofan Xue, Limin Jin, Zhi Liu

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Optimizing low complexity encoding method for systematic polar code by Linhua MA, Shiping LIU, Xing HU, Tianyu HUANG, Bin XU

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Research on Fault Diagnosis Method of High-Speed EMU Air Compressor Based on ICEEMDAN and Wavelet Threshold Combined Noise Reduction by Liqiang Peng, Akang Guo, Shuzhao Zhang

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Research on Region Noise Reduction and Feature Analysis of Total Focus Method Ultrasound Image Based on Branch Pipe Fillet Weld by Yuqin Wang, Yong Li, Yangguang Bu, Shaohua Dong, Haotian Wei, Jingwei Cheng

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The Application of Imperialist Competitive Algorithm in Determining the Optimal Parameters of Empirical Area Reduction Method to Predict the Sedimentation Process in Dez Dam by Arash Azari, Sadegh Soori Hossein Bonakdari, Hossein Bonakdari

“…Therefore, calibration of area reduction method and extracting optimal parameters of this method have a special importance in predicting the sedimentation process in reservoirs, which greatly reduces the predictive error. …”
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IMPLEMENTATION OF MONTE CARLO MOMENT MATCHING METHOD FOR PRICING LOOKBACK FLOATING STRIKE OPTION by Komang Nonik Afsari Dewi, Donny Citra Lesmana, Retno Budiarti

“…The results obtained by adding variance reduction moment matching in Monte Carlo method, which produces a relatively had smaller error when compared to the relative error of the standard Monte Carlo method. …”
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Robust error accumulation suppression for quantum circuits by Tatsuki Odake, Philip Taranto, Nobuyuki Yoshioka, Toshinari Itoko, Kunal Sharma, Antonio Mezzacapo, Mio Murao

“…For coherent errors, which include gate overrotation and crosstalk, we demonstrate a reduction of the error scaling in an L-depth circuit from O(L) to O(sqrt[L]). …”
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Bounding the Practical Error of Path Loss Models by Caleb Phillips, Douglas Sicker, Dirk Grunwald

“…Models that can be tuned with measurements and explicit data fitting approaches enable a reduction in RMSE to 8-9 dB. These bounds on modeling error appear to be relatively constant, even in differing environments and at differing frequencies. …”
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Epidemiology of Medical Errors and Incidents in Emergency Medicine by Yu. E. Voskanyan

“…In this respect, emergency medical care is the subject of special attention and is characterized by the greatest difficulty in terms of obtaining valid and relevant information about deviations associated with health worker performance, equipment operation and patient behavior.The aim of the study was to explore the main epidemiological characteristics of medical errors and incidents associated with the provision of emergency medical care.Material and methods We present a literature review followed by an analytical study of the epidemiology of incidents and active threats (including medical errors) that precede those incidents in various areas of emergency medical care. …”
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Enhancing spectral efficiency with low complexity filtered-orthogonal frequency division multiplexing in visible light communication system by Hayder S. R. Hujijo, Muhammad Ilyas

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Importance Sampling for Cost-Optimized Estimation of Burn Probability Maps in Wildfire Monte Carlo Simulations by Valentin Waeselynck, David Saah

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Research on TOC Log Evaluation Method Based on PCA-BP Neural Network by SHANG Yazhou, XU Duonian, ZHANG Zhaohui, LIU Jianyu, ZHAO Wenwen

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An Ant Colony Optimization to Optimize Selection Method of Wavelet Packet Basis by ZOU Fang-hao, ZHANG Han, MENG Liang, XU Tong-le, SU Yuan-hao

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CPO-VMD Combined With Multiscale Permutation Entropy for Noise Reduction in GNSS Vertical Time Series in Mining Areas by Xu Yang, Xinxin Yao, Xinjian Fang, Xuexiang Yu, Yi Wu, Shicheng Xie

“…The results of simulation and example analysis show that compared with wavelet denoising (WD), empirical modal decomposition (EMD), ensemble empirical mode decomposition (EEMD), and improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), this method shows significant advantages in the evaluation indexes of noise reduction effect—Pearson’s correlation coefficient (R), the signal-to-noise ratio (SNR), and the root-mean-square error (RMSE)—and all the indexes are better than the comparative methods. …”
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A Beyond 5G OTFS Waveform Radio for Smart Hospital: PAPR Reduction in OTFS Using the Cuckoo Search–Based PTS Method by Arun Kumar, Aziz Nanthaamornphong

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A cutter contacting point trajectory prediction method combining harmonic functions and dimensionality reduction for improving machining precision in flat-end milling by Liangji Chen, Haohao Xu, Huiying Li, Hansong Gao, Haixiong Wang

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A Neighborhood Rough Classification with Dempster-Shafer Evidence Theory by JU Hengrong; DING Weiping; YIN Tao; FAN Zhe; LIU Jiubing

“…In order to further improve the classification mechanism and the performance of neighborhood classifier, a Dempster-Shafer(D-S) evidence-driven neighborhood rough classification method is proposed. Firstly, in attribute reduction, the error rate of neighborhood decision is used as the index of attribute significance, and the attribute reduction method based on neighborhood decision error rate is studied. …”
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Denoising Method of dbN Wavelet Threshold for Die Repair Hammer Force Signals by LIU Li-jun, SHEN Xiu-qiang, WANG Xiao-lu, YANG Wen-hao, YAO Ji-rong

“…The low-frequency coefficients of the signal are reserved and the high-frequency coefficients are discarded Ultimately, the signal-to-noise ratio after noise reduction is 10.0778and the mean square error is 0.6633, the noise reduction of hammer power signal in mold repair is initially achieved. …”
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