Analytical Reduction of Nonlinear Metabolic Networks Accounting for Dynamics in Enzymatic Reactions by Claudia López Zazueta, Olivier Bernard, Jean-Luc Gouzé

“…Here, we propose a rigorous approach to reduce metabolic models using quasi-steady-state reduction based on Tikhonov’s theorem, with a characterized and bounded reduction error. …”
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Experimental study on the drag reduction performance of sodium alginate in saline solutions by Zhensong Cheng, Xin Zhang, Xiaodong Dai, Hengli Zhai, Xinwang Song, Xudong Wang, Liang Gao, Guoxin Zhang, Yuan Lu, Lei Li, Xiu Yan, Jianhua Zhang

“…The experimental process was designed using Response Surface Methodology (RSM), and a predictive regression model for the drag reduction rate (DR) was developed. By comparing the predicted results with the experimental outcomes, we found that the accuracy of the predictive model is high, with the error controlled within ± 20%. …”
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Fully-Gated Denoising Auto-Encoder for Artifact Reduction in ECG Signals by Ahmed Shaheen, Liang Ye, Chrishni Karunaratne, Tapio Seppänen

“…The FGDAE showed the best performance on all seven error metrics used in our work in different noise intensities and artifact combinations compared with state-of-the-art algorithms. …”
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Dimensionality Reduction using Hybrid Algorithms and Their Application to Remote Sensing Data by Maha Hasso, Mona Siddiq

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PAPR Reduction for Visible Light Communication Systems Without Side Information by Wei-Wen Hu, Da-Huei Lee

“…Selected mapping (SLM) technique is an attractive PAPR reduction technique for radio frequency OFDM systems. …”
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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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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

“…In this paper, we present a two-stage algorithm based on metal artifact reduction, utilizing model-based iterative reconstruction methods with adaptive adjustment of regularization parameters. …”
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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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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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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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Multi-stage deep learning artifact reduction for parallel-beam computed tomography by Jiayang Shi, Daniël M. Pelt, K. Joost Batenburg

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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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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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