Concurrent photocatalytic degradation of organic pollutants using smart magnetically cellulose-based metal organic framework nanocomposite by Nora A El-Mahdy, Sayed RH El-Gharkawy, Magda A Akl

“…The uptake capacity of DAC@PdA@FM toward organic dyes as TBO,  CV, and E110 from water, achieving reductions of 988.75, 1242.5, and 497 mg/g, respectively, within short time frames.The kinetic and isotherm studies were best fitted by PSO and the Langmuir models due to the higher correlation coefficient (R2 ≥ 0.999) and the lower error functions. …”
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An improved BKW algorithm on the learning with rounding problem by Yu Wei, Lei Bi, Kunpeng Wang, Xianhui Lu

“…Additionally, by incorporating a novel heuristic method in the reduction phase, our algorithm further improves the sample complexity by 3.7–48.7 bits.…”
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Increasing the Efficiency of Blind Decoding of the Steganographic Method with Code Control of Additional Information Embedding by Sokolov A.V., Ihnatenko O.O., Balandina N.M.

“…The most significant result of the paper is a reduction in the number of decoding errors of the steganographic method with code control of the additional information embedding and blind decoding by 12.01% compared to the result known in the literature through a reasonable choice of codewords used to embed the additional information.…”
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Modified Constitutive Model and Practical Calibration Method for Constructional 7075-T6 Aluminum Alloy by Yishu Zhang, Lin Zhao, Zhenggang Cao, Bizhao Wu

“…Furthermore, an improved R–O model based on piecewise functions was proposed to address the significant prediction errors under large-strain conditions (<i>ε</i> > 0.015). …”
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Effective least squares approximation method for estimating the rhythm function of cyclic random process by Serhii Lupenko, Małgorzata Wiatr, Andrzej Metelski

“…This made it possible to develop a procedure for calculating and controlling errors of estimating rhythm function of a cyclic random process as certain functions of errors of the segmentation method. …”
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Research on Spatial Localization Method of Magnetic Nanoparticle Samples Based on Second Harmonic Waves by Zheyan Wang, Ping Huang, Fuyin Zheng, Hongli Yu, Yue Li, Zhichuan Qiu, Lingke Gai, Zhiyao Liu, Shi Bai

“…The experimental results validated the method’s high accuracy, with axial detection distance and concentration reduction errors of only 4.8% and 4.1%, respectively. …”
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INVARIAN AUTOMATIC CONTROL SYSTEM, USING THE INTERMEDIATE-FREQUENCY SIGNALS OF HEAT POWER PARAMETERS by G. T. Kulakov, A. N. Kukhorenko, I. M. Golinko

“…Compensation of disturbance influence on regulated value is achieving by introduction of additional signal on input of correction regulator from output of compensation device, measuring the external disturbance by consumption of over-heated steam.Modeling results of transient processes of cascade system of automatic control (CSAC), on the base of which were realized the unity of these methods, demonstrated the fact that, in processing of external disturbance by consumption of steam, the reduction of maximal dynamic regulation error is six times and cutting of regulation time by 30 % in comparison with CSAC without compensation device of external disturbance. …”
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Unsteady Flow Field Analysis of a Compressor Cascade Based on Dynamic Mode Decomposition by Xiaoxiong Wu, Yuming Du

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Inverse Gravimetric Problem Solving via Prolate Ellipsoidal Parameterization and Particle Swarm Optimization by Ruben Escudero González, Zulima Fernández Muñiz, Antonio Bernardo Sánchez, Juan Luis Fernández Martínez

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Long-term trajectory prediction method based on highway vehicle-following behavior patterns by Zhichao An, Yimin Wu, Fan Zhang, Dong Zhang, Bolin Gao, Suying Zhang, Guang Zhou, Aoning Jia

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Mixed Balanced Truncation for Reducing the Complexity of Large-Scale Electrical and Electronic System Simulations by Huy-Du Dao, Thanh-Tung Nguyen, Ngoc-Kien Vu, Van-Ta Hoang, Hong-Quang Nguyen

“…The results demonstrate that MBT achieves effective order reduction with minimal error while reducing computational costs. …”
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Carbon emission prediction method of steel plants based on long short-term memory network by Fengyun LI, Zehui DOU, Peng LI, Wei GUO

“…As the second largest carbon emitter in China, iron and steel enterprises have great potential for carbon emission reduction.In order to facilitate the supervision and control of carbon emissions by relevant departments, carbon emission prediction research is carried out.Taking a steelmaking plant as the research object, firstly, the carbon dioxide emissions in the steelmaking process were analyzed, and 10 energy substances that caused carbon emissions were determined.The basic energy data of the steelmaking plant from 2001 to 2023 were collected, and the carbon emissions were calculated from the basic energy data according to the carbon emission accounting method.Secondly, based on the long short-term memory network to predict the carbon emissions in the next 7 years, the training error and test error were close to 0.01, and the actual error was 1 323 307.46 tons of carbon dioxide.Then, the Mann-Kendall trend test was used to evaluate the overall carbon emission trend of the steelmaking plant.Finally, some reasonable suggestions were put forward for steelmaking plants in order to actively respond to the goal of low-carbon environmental protection.…”
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Using Adjoint-Based Forecast Sensitivity Method to Evaluate TAMDAR Data Impacts on Regional Forecasts by Xiaoyan Zhang, Hongli Wang, Xiang-Yu Huang, Feng Gao, Neil A. Jacobs

“…This study evaluates the impact of Tropospheric Airborne Meteorological Data Reporting (TAMDAR) observations on regional 24-hour forecast error reduction over the Continental United States (CONUS) domain using adjoint-based forecast sensitivity to observation (FSO) method as the diagnostic tool. …”
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Adaptive delta modulation method for arbitrary adaptation coefficients in the sensor network of the mobile ECG monitoring by О. В. Тимченко, В. І. Лозинський

“…The usage of difference methods for information supply in wireless sensor networks can lead to reduction in their power consumption. …”
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Improved tooth flank region segmentation method of interference image by U-net neural network by YANG Pengcheng, ZHANG Jinjing, LI Xiaocheng, MENG Jie, KANG Leqian

“…Laser interferometry is an effective method to measure the tooth flank topography errors, and the information of tooth flank topography can be obtained accurately by using interferometric image processing technology. …”
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An Importance Sampling Method for Generating Optimal Interpolation Points in Training Physics-Informed Neural Networks by Hui Li, Yichi Zhang, Zhaoxiong Wu, Zhe Wang, Tong Wu

“…Experimental results demonstrate that our method achieves a 43% reduction in root mean square error compared to state-of-the-art methods when applied to the one-dimensional Korteweg–De Vries equation.…”
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Trajectory tracking and obstacle avoidance in dynamic environments using an improved artificial potential field method. by Long Di, Naiwei Huang, Jiaqi He, Xuxiang Wu, Hansheng Huang, Yongbin Su, Tundong Liu

“…Furthermore, a probabilistic obstacle motion prediction framework is established through motion pattern analysis to actively optimize the robot's motion strategy and reduce tracking errors. Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”
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Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method by Huaizhong Zhu, Xiaoguang Yang, Yizhe Wang

“…The results verify that this method accurately predicts the daily entrance passenger flow and daily exit passenger flow of rail transit stations with the prediction error of less than 4.1%. …”
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Comparative Evaluation of Preprocessing Methods for MobileNetV1 and V2 in Waste Classification by Aulia Afifah, Endah Ratna Arumi, Maimunah Maimunah, Setiya Nugroho

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A Systematic Method for the Calibration of FEA Model of Synchronous Reluctance Machines Considering Manufacturing Effects by Andrea Credo, Paolo Pescetto

“…This approach led to a reduction in torque estimation error from 18% to 4%, and an improvement of the flux maps evaluation, thus enhancing and validating the design procedure and permitting further optimization steps of machines with similar geometry and dimensions. …”
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