Evaluating the accuracy of nine canopy resistance models in estimating winter wheat evapotranspiration using the Penman–Monteith equation by Yingnan Wu, Qiaozhen Li, Xiuli Zhong, Xiaoying Liu

“…The results showed that the FA, KP, and ST models performed better in estimating daily ET with original parameters, achieving a root mean square error (RMSE) of 1.07–1.16 mm d−1 and a mean bias error (MBE) of −0.59–0.02 mm d−1. …”
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Reconstruction of Three-Dimensional Temperature and Salinity in the Equatorial Ocean with Deep-Learning by Xiaoyu Yu, Daling Li Yi, Peng Wang

“…The results demonstrate that the VI-UNet model performs remarkably well in reconstructing temperature and salinity, achieving maximum reductions in root mean square error (RMSE) of up to 40% and 100%, respectively. …”
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Estimating small area population from health intervention campaign surveys and partially observed settlement data by Chibuzor Christopher Nnanatu, Amy Bonnie, Josiah Joseph, Ortis Yankey, Duygu Cihan, Assane Gadiaga, Hal Voepel, Thomas Abbott, Heather R. Chamberlain, Mercedita Tia, Marielle Sander, Justin Davis, Attila N. Lazar, Andrew J. Tatem

“…Here, we present a two-step Bayesian hierarchical modelling approach that can integrate routinely collected health intervention campaign data and partially observed settlement data to produce reliable small area population estimates. Reductions in relative error rates were 32–73% in a simulation study, and ~32% when applied to malaria survey data in Papua New Guinea. …”
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A Comparative Study on Battery Modelling via Specific Hybrid Pulse Power Characterization Testing for Unmanned Aerial Vehicles in Real Flight Conditions by Waiard Saikong, Prasophchok Phumma, Suradet Tantrairatn, Chaiyut Sumpavakup

“…Results indicate that the Thevenin model, with selective SOC-dependent parameters, demonstrated superior predictive accuracy, achieving error reductions of up to 4.26 times compared to the fixed resistance model. …”
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Impact of All-Sky Assimilation of Multichannel Observations from Fengyun-3F MWHS-II on Typhoon Forecasting by Tianheng Wang, Wei Sun, Fan Ping

“…A series of assimilation experiments were conducted to evaluate their impacts on the forecast of Typhoon Yagi (2024), demonstrating that all-sky assimilation leads to reductions in track error (23.14%) and improvements in precipitation forecasts (Equitable Threat Score increase of 16.92%) compared to clear-sky assimilation. …”
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Diffuse attenuation coefficient and bathymetry retrieval in shallow water environments by integrating satellite laser altimetry with optical remote sensing by Changda Liu, Huan Xie, Qi Xu, Jie Li, Yuan Sun, Min Ji, Xiaohua Tong

“…The accuracy of the bathymetric maps improved significantly with seafloor classification, as indicated by reductions in root mean square error (RMSE) of 0.12 m and 0.15 m, and in mean absolute percentage error (MAPE) by 2.24 % and 5.87 %, respectively. …”
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Quercetin-loaded exosomes delivery system prevents myopia progression by targeting endoplasmic reticulum stress and ferroptosis in scleral fibroblasts by Lianghui Zhao, Xiaoyun Dong, Bin Guo, Jike Song, Hongsheng Bi

“…In the initial phase of treatment, Exo-Que showed a pronounced myopia prevention effect, with reductions of 58.41 % in refractive error progression and 38.46 % in axial length growth after two weeks of treatment. …”
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Mapping 1-km soybean yield across China from 2001 to 2020 based on ensemble learning by Min Zhang, Xinlei Xu, Junji Ou, Zengguang Zhang, Fangzheng Chen, Lijie Shi, Bin Wang, Meiqin Zhang, Liang He, Xueliang Zhang, Yong Chen, Kelin Hu, Puyu Feng

“…The resulting dataset captures over 50% of the yield variability at the county scale, demonstrating superior accuracy compared to publicly available datasets with reductions in Root Mean Square Error (RMSE) ranging from 0.18 to 0.60 t/ha. …”
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Two-Year Post-Market Surveillance of iStent inject® W Combined with Phacoemulsification in Japanese Open-Angle Glaucoma Eyes by Inatani M, Kohama I, Chu A

“…At M24, the estimated reductions in mean (standard error) IOP and number of medications were 2.0 (0.5) mmHg and 1.9 (0.4), respectively, in the cohort. …”
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Predicting Urban Vitality at Regional Scales: A Deep Learning Approach to Modelling Population Density and Pedestrian Flows by Feifeng Jiang, Jun Ma

“…The model outperforms existing architectures, achieving reductions of 34.03% and 38.66% in mean squared error for population density and pedestrian flow predictions, respectively. …”
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THE ROLE OF PUBLIC AGRICULTURAL SPENDING AS A PANACEA FOR AGRICULTURAL SUBSECTOR PRODUCTION: EMPIRICAL EVIDENCE FROM CAMEROON by Udeme Henrietta UKPE, Raoul Fani DJOMO CHOUMBOU, Rayner TABETANDO, Emmanuel Nkwi GAMA

“…The data were taken from World Bank development database and processed using growth model, and error correction model. Despite the agricultural sector's significant contributions to the country's economy throughout the years, the country has made little headway in reducing it. …”
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Considering water-temperature synergistic factors improves simulations of stomatal conductance models under plastic film mulching by Cheng Li, Yunxin Zhang, Jingui Wang, Hao Feng, Renyou Zhang, Wenxin Zhang, Kadambot H.M. Siddique

“…For the USO model, the reductions were 7.9–55.2 %, 11.1–56.3 %, and 27.8–64.4 %, respectively. …”
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Performance analysis of dual-fuel engines using acetylene and microalgae biodiesel: The role of fuel injection timing by M. Sonachalam, R. Jayaprakash, V. Manieniyan, P.S. Raghavendra Rao, G. Vinodhini, Manish Sharma, Teku Kalyani, Mahammadsalman Warimani, Hasan Sh Majdi, T.M. Yunus Khan, Abdul Saddique Shaik, Keerthi Shetty

“…To predict engine performance and emission characteristics, advanced machine learning models were employed and evaluated using four statistical criteria, including R-squared, mean absolute error (MAE), and mean squared error (MSE). Experimental results indicated that the optimal configuration involved a dual-fuel mode combining B20 MEOA with acetylene gas and an advanced FIT of 25° before top dead center (bTDC). …”
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Fast and Accurate Plane Wave and Color Doppler Imaging with the FOCUS Software Package by Jacob S. Honer, Robert J. McGough

“…Simulation results demonstrate rapid convergence and lower error rates compared to conventional spatial impulse response methods and Field II, resulting in substantial reductions in computation time. …”
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OBM-RFEcv: An adaptive ensemble model for monitoring key growth indicators of Gerbera using multi-spectral image fusion features. by Xinrui Wang, Yingming Shen, Peng Tian, Mengyao Wu, Zhaowen Li, Jiawei Zhao, Jihong Sun, Ye Qian

“…The results indicate that the OBM-RFEcv model outperforms the other models when using the fusion of the five VIs, particularly in the test dataset, where it achieved the highest accuracy for PH (NDVI), SPAD (GNDVI), LAI (GNDVI), and AGB (NDRE) with R2 values of 0.92, 0.90, 0.89, and 0.93, respectively. The root mean square error (RMSE) values were 0.04, 0.07, 0.08, and 0.07, respectively, showing improvements over the best individual model by 0.01, 0.03, 0.01, and 0.09 in R2, and reductions in RMSE by 0.01, 0.07, 0.08, and 0.03, respectively. …”
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Automatic Voltage Regulator Betterment Based on a New Fuzzy FOPI+FOPD Tuned by TLBO by Mokhtar Shouran, Mohammed Alenezi

“…Key findings demonstrate significant reductions in peak overshoot, peak undershoot, and settling time, emphasizing the proposed controller’s effectiveness. …”
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Adaptive neuro-fuzzy inference system optimization of natural rubber latex modified concrete’s mechanical Properties by Efiok Etim Nyah, David Ogbonna Onwuka, Joan Ijeoma Arimanwa, George Uwadiegwu Alaneme, G. Nakkeeran, Ulari Sylvia Onwuka, Chinenye Elizabeth Okere

“…The ANFIS model exhibited strong predictive performance, with a root mean square error (RMSE) of 1.5434, mean absolute percentage error (MAPE) of 2.89%, and R2 of 0.9795 for the modulus of elasticity. …”
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Experimental Validation of Virtual Torque Sensing for Wind Turbine Gearboxes Based on Strain Measurements by Jelle Bosmans, Simone Gallas, Victor Smeets, Matteo Kirchner, Luk Geens, Jan Croes, Wim Desmet

“…Monitoring the torque paves the way for the calculation of remaining useful lifetime, leading to cost reductions through improved reliability and maintenance planning. …”
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Coordination of preventive, emergency and restorative trading strategies under uncertain sequential extreme weather events by Xuemei Dai, Jing Zhou, Xu Zhang, Kaifeng Zhang, Wei Feng

“…Additionally, the two-layer GNN model achieves a root mean square error of 0.01, demonstrating high accuracy in predicting system outage statuses.…”
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LET-SE2-VINS: A Hybrid Optical Flow Framework for Robust Visual–Inertial SLAM by Wei Zhao, Hongyang Sun, Songsong Ma, Haitao Wang

“…In no-loop scenarios, the method also achieves error reductions of 29.7%, 21.8%, and 24.1% on the MH_04, MH_05, and V2_03 sequences, respectively. …”
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