Rapid Correction of Turbidity Interference on Chemical Oxygen Demand Measurements by Using Ultraviolet-Visible Spectrometry by Shihan Shan, Yihuan Ji, Hanjing Deng, Zhuohui Wu, Tinglong Yang, Xiaoping Wang

“…Moreover, when applied to new samples, the correlation coefficients (R²) between the predicted and actual values improved from 0.5455 to 0.9997, and the root mean square error (RMSE) decreased from 12.3604 to 0.2295 after correction. …”
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Prediction Model of Household Carbon Emission in Old Residential Areas in Drought and Cold Regions Based on Gene Expression Programming by Shiao Chen, Yaohui Gao, Zhaonian Dai, Wen Ren

“…Subsequently, a hybrid prediction model was constructed, with its parameters optimized by minimizing the root mean square error (RMSE) as the fitness function. Experimental results demonstrated that the model achieved an R² value of 0.81, reducing RMSE by 77.1% compared to conventional GEP models and by 60.4% compared to BP neural networks, while significantly improving stability. …”
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Research on 3D Building Individualization Technology Based on Spatial Constraints by Z. Liu, L. Huo, T. Shen, F. Kong

“…Experimental results show that the proposed method achieves an IoU of 91.5% in commercial dense areas (a 21.3% improvement over traditional methods), reduces directional error to 3.2° (a 74% decrease), increases recall rate in occlusion scenes to 89.4%, and processes a single scene in only 218 seconds (a 32% reduction). …”
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Catalyzing Supply Chain Evolution: A Comprehensive Examination of Artificial Intelligence Integration in Supply Chain Management by Sarthak Pattnaik, Natasya Liew, Ali Ozcan Kures, Eugene Pinsky, Kathleen Park

“…AI has become pivotal in tackling various Supply-Chain Management challenges, notably enhancing demand forecasting precision and automating warehouse operations for improved efficiency and error reduction. However, a critical debate arises concerning the choice between less accurate explainable models and more accurate yet unexplainable models in Supply-Chain Management applications. …”
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A Simple and Effective KAN-Based Architecture for Accurate Battery RUL Prediction by Guangzai Ye, Li Feng, Jianlan Guo, Yuqiang Chen, Shufei Li

“…Experimental results on two public battery datasets show that DCI-KANs substantially outperform existing state-of-the-art methods in RUL prediction accuracy, achieving a 43 % and 22 % reduction in Absolute Relative Error (ARE) on the NASA and CALCE datasets, respectively. …”
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Wind speed prediction for trains on bridges using enhanced variational mode decomposition assisted feature extraction and physical auxiliary mechanism by Zhilan Zhu, Yuan Jiang, Haicui Wang, Shuoyu Liu

“…For example, the proposed method can realize the reduction of the average of mean absolute error from 1.08 to 0.73 in comparison with ARIMA-FCN-PAM. …”
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Accurate Location Method for Abnormal Line Losses in Distribution Network Considering Topology Matching and Parameter Estimation in Grid by Haiyun An, Qian Zhou, Qiuwei Wu, Yufang Liu, Cheng Huang, Jiaxun Li

“…The weighting coefficient is selected to minimize the solution error. Finally, by comparing the deviation between the estimated values of the branch parameters and the theoretical values, the aging degree of each branch is evaluated, and branches with abnormal line losses are accurately located. …”
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ADULT-ONSET STILL’S DISEASE: ASPECTS OF THE HEMATOLOGY CLINIC by M. M. Agakishiev, I. I. Mulina, A. M. Popova, I. N. Nechunaeva, L. M. Maslova, I. B. Kovynev, T. I. Pospelova

“…It is important for a hematologist not to miss a blood tumor and to prevent a diagnostic error. The authors showed the criteria for exclusion of myeloblastic hematosarcoma and malignant lymphoma in a patient with Still’s disease. …”
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Load frequency control resilience of hybrid power system with renewable energy sources and superconducting magnetic energy storage using FO-Fuzzy-PID controller by Misagh Jalilian, Abdollah Rastgou, Saeed Kharrati, Saman Hosseini-Hemati

“…In other Scenario, it achieved the lowest integral of time-weighted absolute error (ITAE) value of 0.0061, representing a 44.5% improvement over the PSO-PID controller's ITAE of 0.11. …”
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A novel graph modeling method for GNN-based hypersonic aircraft flow field reconstruction by Qiao Li, Xingchen Li, Xiaoqian Chen, Wen Yao

“…Furthermore, our approach has been validated in the reconstruction of hypersonic aircraft flow fields for at least 10% error reduction among all the situations.…”
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Hybrid optimization of thermally-enhanced Zn-Fe LDH catalysts for fenton-like reactions: Integrating design of experiments with machine learning models for optimisation by Ramadhan Muhammad Naufal, Nawwal Hikmah, Dessy Ariyanti

“…Among the models, GBR achieved the highest predictive accuracy (R² = 0.998, MAPE =,0.9 %, RMSE = 0.964), outperforming RSM by over 97 % in prediction error reduction. The improvement of prediction fidelity by introducing the use of ML models into the RSM framework resulted in precise optimization across complex, multi-dimensional surfaces. …”
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Numerical approach and experimental investigation of a stratified hot water storage tank for domestic hot water production by M. Reda Haddouche, F.J.S. Velasco, F. Illán, J.R. García Cascales

“…The present model provides a reduction of about 5 % of the error of the time of the water cooling process with respect to other models in the literature.…”
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Spatial prediction based on Third Law of Geography by A‐Xing Zhu, Guonian Lu, Jing Liu, Cheng‐Zhi Qin, Chenghu Zhou

“…The prediction uncertainty associated with spatial prediction based on the Third Law of Geography is more indicative to quality of the prediction, thus more effective in allocating error reduction efforts. These properties make spatial prediction based on the Third Law of Geography more suitable for prediction over large and complex geographic areas.…”
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A control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional–integral–derivative (PID) control architecture by H. Liu, Z. Zeng, X. Yang, Y. Zou, X. Liu

“…Comparative simulations indicate a 50 % reduction in settling time (7.0 <span class="inline-formula">s</span> to 3.5 <span class="inline-formula">s</span>), zero overshoot, and <span class="inline-formula">&lt;</span> 0.03° steady-state tracking error under 2 <span class="inline-formula">Hz</span> sinusoidal excitation. …”
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Frequency-Constrained Economic Dispatch of Microgrids Considering Frequency Response Performance by Zhigang Wu, Chuyue Chen, Danyang Xu, Lin Guan

“…Finally, the model is formulated as a mixed-integer linear programming problem and validated through case studies, demonstrating (1) an 8.03% reduction in the frequency integral time absolute error (ITAE) with only a 2.1% increase in economic cost compared to single-objective approaches, while (2) maintaining maximum frequency deviation (MFD) < 0.5 Hz during disturbances.…”
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Enhanced Lightweight Quantum Key Distribution Protocol for Improved Efficiency and Security by Ashutosh Bhatia, Sainath Bitragunta, Kamlesh Tiwari

“…However, the classical post-processing steps in BB84, such as sifting, error correction, and key verification, often result in significant communication overhead, limiting its efficiency and scalability. …”
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Computational fluid dynamics and machine learning integration for evaluating solar thermal collector efficiency -Based parameter analysis by Xiaoyu Hu, Lanting Guo, Jiyuan Wang, Yang Liu

“…The study identifies a critical transition at 100–300 samples where error rates drop sharply, with optimal performance requiring more than 600 samples. …”
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AI-Powered Precision in Diagnosing Tomato Leaf Diseases by MD Jiabul Hoque, Md. Saiful Islam, Md. Khaliluzzaman

“…Conventional methods, such as visual inspection and microscopic analysis, are typically labor-intensive, subjective, and vulnerable to human error, making them infeasible for extensive monitoring. …”
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Application research and effectiveness evaluation mechanism of hybrid intelligent algorithm integrating cognitive computing and deep learning for dynamically adjusting employee per... by Zhenlin Luo, Kebin Lu

“…The results revealed that the mean square error (MSE) of the hybrid algorithm was significantly lower than that of the KPI (Key Performance Indicators) method across all datasets, with a 43.5% improvement in accuracy. …”
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Measurement of Total Iron in Breast Tissue Samples by Inductively Coupled Plasma-Mass Spectrometry by Mete Bora Tüzüner, Burçin Alev Tüzüner

“…Results: Our method showed a low rate of measurement error (&lt;10%). A highly significant (p&lt;0.001) ∼3 fold difference of iron concentrations were observed in tumors (24.73±6.15 ppb/mg) as compared to peritumoral tissues (9.10±4.84 ppb/mg). …”
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