The Application of Kalman Filter Algorithm in Rail Transit Signal Safety Detection by Zhinong Miao, Qilong Liao

“…The proposed improved YOLOv8 algorithm achieved an accuracy of 96.27%, a recall rate of 94.86%, a detection accuracy of 96.82%, a frame rate of 78.12fps, and an error value of 0.002 in the Track Obstacle Recognition Dataset. …”
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Online Core Temperature Estimation for Lithium-Ion Batteries via an Aging-Integrated ECM-1D Coupled Model-Based Algorithm by Yiqi Jia, Lorenzo Brancato, Marco Giglio, Francesco Cadini

“…Validation under extreme conditions (high-rate cycling, aging, and ISCs) demonstrates 60% lower core temperature RMSE during high-rate cycling, a maximum estimation error below 0.9 K, and 58.9% reduction in SOC estimation error under aging conditions versus existing methods. …”
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Forecasting Day-Ahead Electricity Demand in Australia Using a CNN-LSTM Model with an Attention Mechanism by Laial Alsmadi, Gang Lei, Li Li

“…The results show a significant reduction in both Mean Absolute Error and Mean Absolute Percentage Error, confirming the model’s effectiveness. …”
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Adaptive Remaining Capacity Estimator of Lithium-Ion Battery Using Genetic Algorithm-Tuned Random Forest Regressor Under Dynamic Thermal and Operational Environments by Uzair Khan, Mohd Tariq, Arif I. Sarwat

“…The model effectively captures the battery’s dynamic behavior and inherent non-linearity. The Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) achieved during testing demonstrate promising accuracy and superior prediction. …”
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Development of an upper limb muscle strength rehabilitation assessment system using particle swarm optimisation by Chuangan Zhou, Siqi Wang, Meiyi Wu, Wei Lai, Junyu Yao, Xingyue Gou, Hui Ye, Jun Yi, Dong Cao

“…Model performance was evaluated using R-squared (R2), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Bias Error (MBE).ResultsThe system successfully collected electromyographic and kinematic data. …”
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Machine Learning Models Informed by Connected Mixture Components for Short- and Medium-Term Time Series Forecasting by Andrey K. Gorshenin, Anton L. Vilyaev

“…For geophysical spatiotemporal data, the decrease in Root Mean Square Error (RMSE) was up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>27.7</mn><mo>%</mo></mrow></semantics></math></inline-formula>, and the reduction in Mean Absolute Percentage Error (MAPE) was up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>45.7</mn><mo>%</mo></mrow></semantics></math></inline-formula> compared with ML models without probability informing. …”
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A data mining approach for proposing a relationship to predict self-compaction concrete crack width after the self-healing period by Saeid Hosseini, Ali Seyedkazemi, Abdullah Davoudi-Kia, Saman Soleimani Kutanaei

“…This model achieved the lowest errors, with MSE, RMSE, and MAE values of 48.5713, 6.969, and 4.878, respectively, indicating its high accuracy in prediction and error minimization. …”
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A Gradient-Based Optimization Algorithm for Optimal Control Problems With General Conformable Fractional Derivatives by Essia Ben Alaia, Slim Dhahri, Omar Naifar

“…Comprehensive comparisons including Caputo derivatives demonstrate 17.8% cost reduction and 40.1% lower terminal state error. Parameter sensitivity analyses further validate kernel selection strategies. …”
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Advanced NiCr/NiSi Thin-Film Thermocouples for Precise Temperature Sensing in Lithium-Ion Battery Systems by Xiyao Liu, Yanpeng Mao

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Experimental Determination of a Reflective Muffler Scattering Matrix for Single-Mode Excitation by Łukasz GORAZD

“…Moreover, if single mode sound fields are well determined, it ensures error minimization. The presented measurement results refer to an example of a duct like system with a reflective muffler for which the scattering matrix S was determined. …”
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Maximizing efficiency and performance of water distribution systems through the implementation of optimization algorithms: A comprehensive analysis of valve and chlorine booster pl... by Mohamadreza Najarzadegan, Mehrtash Eskandaripour

“…Additionally, the SMA algorithm outperformed GA in terms of computational efficiency and solution quality, achieving a 12 % lower error margin and a 33 % reduction in computational time. …”
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Development and Analysis of a Methodology for Selecting Infrastructure Metrics for Predictive Incident Monitoring by Andrew Egorkin

“…The results showed a 43% reduction in the Mean Absolute Error (MAE) of 30-minute CPU utilization forecasts, a 14-fold decrease in input time series, and an 89% reduction in model inference time. …”
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LightGBM hybrid model based DEM correction for forested areas. by Qinghua Li, Dong Wang, Fengying Liu, Jiachen Yu, Zheng Jia

“…Despite extensive research on DEMs in recent years, significant errors still exist in forested areas due to factors such as canopy occlusion, terrain complexity, and limited penetration, posing challenges for subsequent analyses based on DEMs. …”
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The MAR method versus the visual estimation method in predicting external blood loss: a randomized controlled study by Betul Akbuga Ozel, Gurkan Ozel, Elmas Burcu Mamak Ekinci, Ahmet Eren Demirtola, Gizem Sahin, Gokcen Aksoy, Ilke Yanikyurek, Mehmet Ufuk Karaaslan

“…Improvement in estimations after the MAR method was evidenced by a reduction in errors relative to the actual blood volumes, and this was statistically significant. …”
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Cardioprotective effects of CoQ10 in pediatric patients with lysosomal storage disorders by Yasmine Abuzaid, Ghada Abdul Moemn Suliman, Osama Abd Rab El Rasool Toulba, Ahmed Abd El Basset Abo Elezz, Alshimaa Badraldeen, Heba Dawoud

“…Given the role of oxidative stress in many inborn errors of metabolism, many studies are evaluating oxidative stress and hence the role of antioxidants in patients with LSDs. …”
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Attention as the basic component of cognitive functions of the brain and its features in children with bronchial asthma by S. M. Nedelska, О. Yu. Akulova, Т. Ye. Shumna

“…It has been determined that BA patients demonstrated a significantly higher number of errors than healthy children: 10.1 ± 0.7 versus 7.6 ± 1.0, indicating a decrease in the sustained attention. …”
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A theoretical assessment of transport emissions from institutional buildings in a Norwegian municipality by Oskar Fahlstedt, Rolf Andrè Bohne

“…The omission of transport emissions can lead to truncation errors in assessments. The transport to and from the school generates higher emissions in certain scenarios. …”
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Analysis and optimization of digital agency project activities by Olga Yu. Basharina, Tatiana V. Fer, Irina S. Shilnikova

“…Using a centralised data warehouse in the project accounting system eliminates information redundancy, reduces time for data entry and processing, and min imises the probability of errors. The proposed optimisation measures do not require large f inancial expenses and radical changes in the structure of the agency and business processes.…”
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Investigation of viscous damping in perforated MEMS devices by Zeyu Jia, Yuhao Wang, Xiaoxu Wang, Xiang Xu, Jinshuai Sun, Mengqi Sun, Jian Bai, Wei Huang, Qianbo Lu

“…Subsequently, the theoretical models are validated through a series of vibration tests on perforated oscillators, with errors consistently controlled within 10%. Experimental results demonstrate that perforations can easily achieve a damping reduction of more than one order of magnitude. …”
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Automatic Importance Biasing in FLUKA: Application Scenarios by Ruiz Francisco Ogallar, Theis Christian, Vincke Helmut

“…Additionally, it reduces the risk of potential errors by eliminating the need of geometry modifications and manual attribution of importances. …”
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