ON THE INTEGRAL EQUATION OF THE FIRST KIND REDUCTION TO THE EQUATION WITH A DEGENERATE KERNEL by V.M. DRAGILEV

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Reduction of the Influence of Interfering Signals on the Longitudinal Control of UAVs with Fixed Wing by Róbert Bréda, Šimon Karaffa, Rudolf Andoga, Miriam Hlinková

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Study of the Noise Reduction of DF9S1600 Gearbox Reverse Gear by Li Haiqing

“…And according to the test,the effects of reverse gear noise is analyzed respectively from the speed,load and gear manufacturing errors,the structure is improved to achieve the purpose of the reverse gear damping noise reduction.…”
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Effect Analysis of Machining Errors of the Axle Wheel Hub Planet Carrier on Function and Durability-Related Parameters by Adam Fiausch

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Securing IoT communication: a module-LWE key exchange protocol with efficient error reconciliation technique by Alvary Kefas Kwala, Alpna Mishra, Anshu Kumar

“…By leveraging Peikert’s error reconciliation technique and modular rounding, the proposed protocol achieves a 15% reduction in computational cycles, a 78-byte reduction in communication size, and a 10% decrease in memory usage. …”
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Uncertainty evaluation of surface profile measurement error based on adaptive sparse grid polynomial chaos expansion by Ke Zhang, Xinya Zheng, Ruiyu Zhang

“…This model is optimized using Cholesky decomposition to handle variable correlations, sparse grid integration for efficient generation of multidimensional integration points, and maximum entropy method for direct reconstruction of probability distributions, thereby achieving efficient evaluation of the measurement error and uncertainty of surface profile. Numerical and experimental validations based on the car door outer surface demonstrate that compared to the ISO standard method, this method achieves a mean prediction error of less than 0.3% and a standard deviation relative error of less than 0.5% with a reduction of 99.6% in the number of sample calculation points. …”
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Correcting errors in PCR-derived libraries for rare allele detection by reconstructing parental and daughter strand information by Hyeonseob Lim, Soyeong Jun, Taehoon Kim, Ji Hyun Lee, Duhee Bang

“…Here, we present a sensitive genotyping method based on a peer-to-peer network-derived identifier for error reduction in amplicon sequencing (SPIDER-seq) and enable molecular identity tracking with PCR-derived libraries using overwritten barcodes. …”
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A machine learning-based clinical predictive tool to identify patients at high risk of medication errors by Ammar Abdo, Lyse Gallay, Thibault Vallecillo, Justine Clarenne, Pauline Quillet, Vincent Vuiblet, Rudy Merieux

“…Medication reconciliation is the most cost-effective intervention and can result in a 66% reduction in medication errors. To improve patient safety, we developed a machine learning-based tool that prioritizes patients at risk of medication errors upon admission to the hospital to ensure that they undergo medication reconciliation by clinical pharmacists. …”
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Optimizing Concrete Mix Design for Cost and Carbon Reduction Using Machine Learning by Angga T. Yudhistira, Arief S. B. Nugroho, Iman Satyarno, Tantri N. Handayani, Malindu Sandanayake, Rimba Erlangga, Jonathan Lianto, Alfa Rosyid Ernanto

“…The research findings indicate that the ML model provides satisfactory prediction values with an R2 value of 0.9043, root mean square error of 48.5147 and mean absolute percentage error of 0.0484. …”
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A Polar-Coded PAPR Reduction Scheme Based On Hybrid Index Modulation by Si-Yu Zhang, Xinwei Yue, Behnam Shahrrava, Yuexia Zhang, Gongpu Wang

“…Simulation results demonstrate that the proposed PAPR reduction scheme (PC-HIM and LC-PC-HIM) outperforms existing polar code-based PAPR reduction schemes by at most 12.5%, delivering the most effective PAPR reduction performance. …”
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A Game Theoretic Approach for Interuser Interference Reduction in Body Sensor Networks by Guowei Wu, Jiankang Ren, Feng Xia, Lin Yao, Zichuan Xu, Pengfei Shang

“…Interuser interference between different BSNs can cause unreliable critical data transmission and high bite error rate. In this paper, a game theoretic decentralized interuser interference reduction scheme for BSN is proposed. …”
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An Enhanced Error-Adaptive Extended-State Kalman Filter Model Predictive Controller for Supercritical Power Plants by Gang Chen, Shan Hua, Changhao Fan, Chun Wang, Shuchong Wang, Li Sun

“…Simulations show reductions in the Integrated Absolute Error (IAE) for load and temperature by 3.05% and 2.46%, respectively, with a modest 0.43% pressure IAE increase compared to ESKF-MPC. …”
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Multi-stage deep learning artifact reduction for parallel-beam computed tomography by Jiayang Shi, Daniël M. Pelt, K. Joost Batenburg

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Analyzing the impact of curved tracks on wheel flange thickness reduction in railway systems by Namayanja Zainah, Nkundineza Celestin, Zewdie Behailu Mamo

“…This research aims to analyze the effect of curved tracks on wheel flange thickness reduction using the multi-body simulation software SIMPACK. …”
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Improving Voice Spoofing Detection Through Extensive Analysis of Multicepstral Feature Reduction by Leonardo Mendes de Souza, Rodrigo Capobianco Guido, Rodrigo Colnago Contreras, Monique Simplicio Viana, Marcelo Adriano dos Santos Bongarti

“…Empirical evaluation using the ASVSpoof 2017 v2.0 dataset measures the classification performance with the Equal Error Rate (EER) metric, achieving values of approximately 10%. …”
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Research on digital twin modeling method for combustion process based on model reduction by Yue Zhang, Jiale Li

“…Furthermore, based on modal data analysis, a Support Vector Machine (SVM) regression model is selected to reconstruct the temperature field. The average absolute error of the reconstructed temperature fields from three methods under different operating conditions is then compared. …”
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Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications by Pinar Sarisaray-Boluk, Kemal Akkaya

“…Background subtraction (BS) and compression techniques are common data reduction schemes, which have been used for camera sensors to reduce energy consumption in WMSNs. …”
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Model-based iterative reconstruction with adaptive regularization for artifact reduction in electron tomography by Singanallur Venkatakrishnan, Obaidullah Rahman, Lynda Amichi, Jose D. Arregui-Mena, Haoran Yu, David A. Cullen, Amirkoushyar Ziabari

“…These artifacts lead to errors in the downstream characterization affecting extraction of critical features such as the size of the metal particles, their distribution and the volume of the lighter support regions. …”
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Pitfalls in Photochemical and Photoelectrochemical Reduction of CO₂ to Energy Products by Tomasz Baran, Domenico Caringella, Angela Dibenedetto, Michele Aresta

“…The photochemical and photoelectrochemical reduction of CO₂ is a promising approach for converting carbon dioxide into valuable chemicals (materials) and fuels. …”
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Identification and evaluation of human errors of physicians at emergency ward of an educational hospital in Semnan city using SHERPA technique by A Mazloumi, A Kermani, J NaslSeraji, F GhasemZadeh

“…Therefore, current study was conducted to identify and evaluate human error among physicians working at emergency ward using Systematic Human Error and Reduction Prediction Approach (SHERPA) technique in an educational hospital in Semnan, Iran. …”
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