A Dual Filter Based on Radial Basis Function Neural Networks and Kalman Filters with Application to Numerical Wave Prediction Models by Athanasios Donas, Ioannis Kordatos, Alex Alexandridis, George Galanis, Ioannis Th. Famelis

“…The aim of this study is to introduce and evaluate a dual filter that combines Radial Basis Function neural networks and Kalman filters to enhance the accuracy of numerical wave prediction models. Unlike the existing methods, which focus solely on systematic errors, the proposed framework concurrently targets both systematic and non-systematic parts of forecast errors, significantly reducing the bias and variability in significant wave height predictions. …”
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Control of Reliability of Measurements in Power Systems According to the First Increment and on the Basis of Extrapolating Filters by V. A. Anishchenko, T. V. Pisaruk

“…Unreliable information causes errors in the diagnosis of equipment malfunctions, improper operation of process control systems and reduction the operational technical and economic performance of power systems. …”
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SLGMA-UNet: Comprehensive Feature Aggregation With Context-Sensitive Attention for Medical Image Segmentation by Xinghuo Ye, Na Wang

“…Existing segmentation methods encounter challenges such as managing size variations, interpreting contextual relationships, and integrating multi-source data. …”
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Small Incision Lenticule Extraction for Postkeratoplasty Myopia and Astigmatism by Tamer H. Massoud, Osama Ibrahim, Kitty Shehata, Moones F. Abdalla

“…The mean correction ratio for spherical errors was 0.84±0.19 D and for the mean refractive spherical equivalent (MRSE) was 0.79±0.13 D. …”
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Unambiguous Multipath Mitigation Technique for BOC(n,n) and MBOC-Modulated GNSS Signals by Khaled Rouabah, Mustapha Flissi, Salim Attia, Djamel Chikouche

“…The computer simulation results show that the proposed scheme has superior performances in the reduction of the errors produced in the process of the delay estimation of line of sight (LOS) and caused by MP propagation. …”
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Energy Management and Edge-Driven Trading in Fractal-Structured Microgrids: A Machine Learning Approach by Mostafa Pasandideh, Jason Kurz, Mark Apperley

“…Predictive adaptive management significantly reduced cumulative grid usage compared to traditional methods, with a 20% reduction in energy deficit events, and optimised battery cycling frequency extending battery lifecycle. …”
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Structural Reforms in Agrarian Sector of Economy, Stages and Results: Problems of Modernization and Import Substitution by A. A. Shutkov

“…The stages of structural reforms, their characteristics, which are based on the methodological approaches related to the adoption and implementation of normative acts of the federal authorities with an estimate of the dynamics of agricultural production and the state of the economy producers has been reviewed. Methods: the methodological basis of this article are the economic and statistical methods of analysis, regulatory documents in the field of food security, public analytical materials in the field of the problems of modernization and import substitution. …”
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Context-Aware Dual-Task Deep Network for Concurrent Bone Segmentation and Clinical Assessment to Enhance Shoulder Arthroplasty Preoperative planning by Luca Marsilio, Andrea Moglia, Alfonso Manzotti, Pietro Cerveri

“…<italic>Goal:</italic> Effective preoperative planning for shoulder joint replacement requires accurate glenohumeral joint (GH) digital surfaces and reliable clinical staging. <italic>Methods:</italic> xCEL-UNet was designed as a dual-task deep network for humerus and scapula bone reconstruction in CT scans, and assessment of three GH joint clinical conditions, namely osteophyte size (OS), joint space reduction (JS), and humeroscapular alignment (HSA). …”
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Estimating the Within-Person Change in Dental Service Access Measures during the COVID-19 Pandemic in the United States by Jason Semprini

“…From 2019 to 2020, adults reported a 4.6%-point reduction in the probability of visiting the dentist (p<0.001). …”
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RATIONING OF FUEL CONSUMPTION WITH THE USE OF INFORMATION TECHNOLOGY by V. M. Kurganov, A. N. Dorofeev, M. V. Gryaznov

“…However, the normalization of fuel consumption is difficult due to the high probability of errors by the manual calculation. Currently, there is no methodology for determining the correction factors for taking into account the existing operating conditions for the stock of vehicles.Materials and methods. …”
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Reliability and responsiveness of a tissue hardness meter and algometer for measuring tissue hardness and pressure pain threshold in upper trapezius myofascial trigger points by Soukmisai Somphithak, Uraiwan Chatchawan, Atipong Pimdee, Wiraphong Sucharit

“…Both distribution-based methods (mean difference, effect size (ES), standardized response mean (SRM), standard error of measurement (SEM), and minimal detectable change at 95% confidence (MDC95)) and anchor-based methods (minimal clinically important difference (MCID) and area under the curve (AUC)) were utilized in the analysis. …”
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Digital Institutional Transformation of Electronic Trading Platforms in the Field of Public Procurement of the Russian Federation by B. M. Bizhoev

“…Purpose: the aim of the article is to calculate the reduction in transaction costs when transferring purchases to electronic format, as well as determine the potential for digitizing the consideration of all requirements for procurement participants.Methods: the study is based on the conceptual provisions of the institutional economic theory, the use of the system approach methodology, the use of survey research methods, and the generalization of expert assessments. …”
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Geometric line-of-sight guidance law with exponential switching sliding mode control for marine vehicles’ path following by Chengren Yuan, Chengren Yuan, Changgeng Shuai, Changgeng Shuai, Zhanshuo Zhang, Zhanshuo Zhang, Buyun Li, Buyun Li, Yuqiang Cheng, Yuqiang Cheng, Jianguo Ma, Jianguo Ma

“…It adapts to diverse compound paths by dynamically adjusting according to cross-track errors and local path curvature. Then, to enhance control performance, we present an improved exponential switching law for sliding mode control, enabling rapid convergence, disturbance rejection, and chatter reduction. …”
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Gait stability prediction through synthetic time-series and vision-based data by Mauricio C. Cordeiro, Ciaran O. Cathain, Ciaran O. Cathain, Ciaran O. Cathain, Vitor B. Nascimento, Thiago B. Rodrigues

“…The model trained exclusively on synthetic data (TSTR) outperformed the model trained on real data (TRTR), with error reductions (RMSE decreased by 56.3%, MAE by 58.2%, and MSE by 80.9%) and improved variance explanation (R2 increase of 31.2%). …”
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Predictive Machine Learning Approaches for Supply and Manufacturing Processes Planning in Mass-Customization Products by Shereen Alfayoumi, Amal Elgammal, Neamat El-Tazi

“…The training performance of the pilot study was evaluated using cross-validation along with two statistical analysis methods: the <i>t</i>-test and the Wilcoxon test. …”
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Global Secular Trend of Gonadal Size in Men: Review and Analysis of Publications by A. Yu. Seroukhov, A. A. Afoko, I. E. Mamaev

“…Standardization of methods of assessment results obtained will help in reducing errors whilst assisting in the analysis of existing tendencies.…”
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MNPM: research on metabolic neural network prediction model for predicting carbon emission accuracy by Entao Luo, Li Shi, Jiyan Liu, Zheng Wu, Guoyun Duan, Lingxuan Zeng, Tangsen Huang

“…To optimize the nonlinear characteristics of the data and overcome the limitations of grey models, we utilize dynamic iterative time series training to address errors due to data inaccuracies effectively. Experimental results demonstrate that our approach outperforms other methods in filtering out irrelevant data, achieving an average relative residual of 0.055 and an average ratio bias of 0.049, translating to more precise prediction accuracy.…”
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From data to decision: Alleviating poverty and promoting development through measuring the unmeasurable economic numbers by Emmanuel A. Onsay, Jomar F. Rabajante

“…Since poverty is multifaceted and considered unmeasurable in social science, it is notoriously difficult to measure. The methods currently used to measure poverty require a significant amount of time, money, and labor. …”
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Real-Time Gas Path Fault Diagnosis for Aeroengines Based on Enhanced State-Space Modeling and State Tracking by Siyan Cao, Hongfu Zuo, Xincan Zhao, Chunyi Xia

“…Traditional fault diagnosis methods often require extensive data and struggle with real-time applications. …”
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Medical VR Simulator for Pediatric Strabismus Treatment by Artem Obukhov, Elena Kutimova, Julia Matrosova, Daniil Teselkin, Maxim Shilcin

“…In terms of exercise quality metrics, a selected subgroup of participants who have been training for a long time have shown positive dynamics in terms of improved accuracy and a reduction in their average number of errors. In summary, virtual reality technologies demonstrated a statistically significant improvement in the metrics used to evaluate orthoptic treatment in the control group and the superiority of this approach over standard treatment.…”
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