An ultrafast algorithm for ultrafast time-resolved coherent Raman spectroscopy by Francesco Mazza, Dirk van den Bekerom

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Finite-Time H∞ Filtering for Discrete-Time Singular Markovian Jump Systems with Time Delay and Input Saturation by Wei Guan, Lei Fu, Yuechao Ma

“…The systems under consideration consist of time-varying delay, actuator saturation and partly unknown transition probabilities. We pay attention to the design of a H∞ filtering which ensures the filtering error systems to be singular stochastic finite-time boundedness. …”
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Parametric influences of a modified fractional Van der Pol oscillator under Gaussian colored noise by Yajie Li, Zhiqiang Wu, Yongtao Sun, Ying Hao

“…Firstly, according to the minimal mean square error concept and the generalized harmonic balance technique, the fractional derivative term can be expressed as a linear combination of the damping force and restoring force. …”
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Prior Distribution Refinement for Reference Trajectory Estimation With the Monte Carlo-Based Localization Algorithm by Mark Griguletskii, Oleg Shipitko, Maxim Abramov, Egor Pristanskiy, Vladislav Kibalov, Anton Grigoryev

“…A reference trajectory of the robot’s movement is needed to estimate errors and evaluate a quality of the localization. …”
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Travel Time Variability and Spatio-Temporal Analysis of Urban Streets Using Global Positioning System: A Review by Zainab Ahmed Alkaissi, Ruba Yousif Hussain

“…Travel time estimation algorithms based on speed data loop detectors induced insignificant differences when the study route was a relatively short and slow transition from free state to congestion state. Travel time results are affected by the location of sensors and their sparseness, hence estimation errors increase as detector spacing increases. …”
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Optimization and Verification of One-dimensional Three-field Model for Transient Analysis of Pressurized Water Reactor by YUAN Leqi1, LI Zanwang1, 2, FAN Jie1, 3, GOU Junli1, SHAN Jianqiang1

“…Further optimization addressed the computational errors observed under low reflooding rate conditions, where existing three-field implementations showed particular deviations. …”
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A Transformer Encoder Approach for Localization Reconstruction During GPS Outages from an IMU and GPS-Based Sensor by Kévin Cédric Guyard, Jonathan Bertolaccini, Stéphane Montavon, Michel Deriaz

“…Applied to a dataset tracking horse positions—which features velocities up to 10 times those of pedestrians and higher acceleration—our approach achieved an average trajectory error below 3 m, while maintaining stable relative distance errors regardless of the GPS outage duration.…”
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Rapid analysis of temperature fields in electronic enclosures based on the finite difference thermal resistance network method by Xiaoyue Zhang, Yinmo Xie, Bing Liu, Yingze Meng, Kewei Sun, Guangsheng Wu, Jianyu Tan

“…The results indicate that this model not only accurately represents the temperature field but also controls the maximum relative error within 5 %, achieving a 99.67 % reduction in calculation time. …”
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Continuous prediction of human knee joint angle using a sparrow search algorithm optimized random forest model based on sEMG signals by Liuyi Ling, Zhu Lin, Bin Feng, Liyu Wei, Li Jin, Yiwen Wang

“…In the four motion mode experiments, the SSA-RF model achieved a minimum root-mean-square error of 1.569° for predicting knee joint angle, the average absolute error was only 1.05 °, and the coefficient of determination was as high as 0.99. …”
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Sustainability in motion: Investigation of automated gravimetric sample preparation in industrial liquid chromatography by Mo Legelli, Marcel Vranceanu, Michaela Wirtz, Stefan Lamotte

“…Another approach is the transition to a gravimetric sample preparation, in which the dilution steps are not measured in volume but weight, only depending on the much lower error of the analytical balance. …”
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A method for the precise and absolute measurement of microwave chirp rates in cold-atom gravimeters by Huan-Kai Zhang, Ji-Xun Liu, Chang-Wen Liang, Yi-Fei Zhang, Chao Zhou, Shu-Hua Yan, Ling-Xiao Zhu, Jun Yang

“…In a cold-atom gravimeter based on Raman transition, the frequency of Raman lasers is controlled by microwave signals. …”
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RBFNN-Based Adaptive Fixed-Time Sliding Mode Tracking Control for Coaxial Hybrid Aerial–Underwater Vehicles Under Multivariant Ocean Disturbances by Mingqing Lu, Wei Yang, Zhenyu Xiong, Fei Liao, Shichong Wu, Yumin Su, Wenhua Wu

“…At the same time, an adaptive technique is used to approximate the upper bound of the robust switching term gain in the controller, which further offsets the estimation error of the RBFNN and effectively attenuates the chattering effect. …”
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A Portable Non-Motorized Smart IoT Weather Station Platform for Urban Thermal Comfort Studies by Raju Sethupatu Bala, Salaheddin Hosseinzadeh, Farhad Sadeghineko, Craig Scott Thomson, Rohinton Emmanuel

“…The edge devices’ electrical and shielding design was evaluated against a commercial weather station, showing Mean Absolute Error and Root Mean Square Error values of 0.1 and 0.33, respectively, for air temperature. …”
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Optimizing battery health monitoring in electric vehicles using interpretable CART–GX model by Mohnish Karthikeyan B, Anirudh N, Navaneetha Krishnan S, Christopher Columbus C, Aravind C. K

“…The proposed model achieved exceptional performance, with a root mean square error (RMSE) of 0.0130 %, mean absolute error (MAE) of 0.0087 %, and an R² value of 99.999 % on the NASA dataset, and maintained robust accuracy on the CALCE dataset, achieving RMSEs as low as 1.23 % and R² values exceeding 99 %. …”
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A novel hybrid CLARA and fuzzy time series Markov chain model for predicting air pollution in Jakarta by Nurtiti Sunusi, Ankaz As Sikib, Sumanta Pasari

“…Forecasting accuracy results for SO₂ and CO in Jakarta, based on Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), showed excellent performance, underscoring the efficacy of the CLARA-FTSMC hybrid approach in predicting air pollution levels. • The CLARA-FTSMC hybrid method demonstrates high effectiveness in analyzing large datasets, addressing the limitations of previous hybrid clustering fuzzy time series methods. • The number of fuzzy time series partitions is optimally determined based on clustering results obtained through the gap statistic approach, ensuring robust partitioning. • The forecasting accuracy of the CLARA-FTSMC hybrid method, evaluated using MAE and RMSE, showed excellent performance in predicting daily air pollution levels of SO₂ and CO in Jakarta.…”
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Study on Thermal Conductivity Prediction of Granites Using Data Augmentation and Machine Learning by Yongjie Ma, Lin Tian, Fuhang Hu, Jingyong Wang, Echuan Yan, Yanjun Zhang

“…Results showed that data augmentation significantly improved model performance: the RF model exhibited the best improvement, with its coefficient of determination R² increasing from 0.7489 to 0.9765, Root Mean Square Error (RMSE) decreasing from 0.1870 to 0.1271, and Mean Absolute Error (MAE) reducing from 0.1453 to 0.0993. …”
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Analysis and Application of Grey-Markov Chain Model in Tax Forecasting by Huidi Zhang, Yimao Chen

“…Based on the summary and analysis of previous research works, this paper expounds the current research status and significance of tax forecasting, elaborates the development background, current status, and future challenges of the Grey-Markov chain model, introduces the basic principles of grey forecasting model and Markov chain model, constructs the Grey-Markov chain model, analyzes the model’s residual error and posteriori error tests, conducts the analysis of Grey-Markov chain model, performs grey forecasting model construction and its state division, implements the calculation of transition probability matrix and the determination of tax forecasting value, discusses the application of the Grey-Markov chain model in tax forecasting, and finally carries out a simulation experiment and its result analysis. …”
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Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment by Viktor Nagy, Diovane Mateus da Luz, Ágoston Pál Sándor, Attila Borsos

“…Despite their potential to improve traffic safety by reducing human error, their integration into existing transportation systems presents significant challenges. …”
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Analysis of Temperature and Stress Fields in the Process of Hot-Rolled Strip Coiling by Meng Dai, Yuting Hu, Yanchao Hao, Ping Qiu, Hong Xiao

“…Finally, by comparing the model results with measurements and analytical solutions, the effectiveness of the incremental coupled model is verified and the errors caused by the analytical method are analyzed.…”
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Sunrise in the Desert: Leveraging Big Data Analytics for Predictive Solar Energy Production in Saudi Arabia by Da'ad Albahdal, Maha Almousa, Wijdan Aljebreen, Aeshah A. Almutairi

“…The results demonstrate that LR achieved superior performance with an RMSE of 139.71 and MAE of 98.32, significantly outperforming other models, particularly the Decision Tree model, which showed the highest error rate RMSE: 504.67. Through detailed regional analysis, identified northern and central regions exhibit consistently high Global Horizontal Irradiance (GHI), marking these areas as optimal locations for residential photovoltaic system deployment. …”
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