Reducing Greenhouse Gas Emissions and Modifying Nitrous Oxide Delivery at Stanford: Observational, Pilot Intervention Study by Eric P Kraybill, David Chen, Saadat Khan, Praveen Kalra

“…Building on previous findings, Stanford Health Care’s (SHC’s) N2O emissions were analyzed at 2 campuses and targeted for waste reduction as a precursor to system-wide reductions. …”
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Correction of Faulty Sensors in Phased Array Radars Using Symmetrical Sensor Failure Technique and Cultural Algorithm with Differential Evolution by S. U. Khan, I. M. Qureshi, F. Zaman, B. Shoaib, A. Naveed, A. Basit

“…Fitness function is used to minimize the error between the desired and estimated beam patterns along with null constraints. …”
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Comparison of Three Supervised Learning Methods for Digital Soil Mapping: Application to a Complex Terrain in the Ecuadorian Andes by Martin Hitziger, Mareike Ließ

“…The median reduction of the root mean square error is around 5%. …”
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On Bayesian estimation of a latent trait model defined by a rank-based likelihood by Daniel Biftu Bekalo, Anthony Kibira Wanjoya, Samuel Musili Mwalili

“…Performance metrics like mean absolute error, root mean square error, and 95% confidence interval coverage probability revealed the estimates from the proposed Bayesian method surpassed those from classical approaches. …”
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THE PROFILE OF CREATIVE THINKING PROCESS: PROSPECTIVE MATHEMATICS TEACHERS by Gunawan Gunawan, Ferry Ferdianto, Fauzi Mulyatna, Reni Untarti

“…Data analysis uses data reduction techniques, presentation, and conclusion drawn. …”
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Enhanced OCR Recognition for Madurese Text Documents: A Genetic Algorithm Approach with Tesseract 5.5 by Muhammad Nazir Arifin, Muhammad Umar Mansyur, Ali Rahman, Nindian Puspa Dewi, Fauzan Prasetyo Eka Putra

“…The GA-optimized preprocessing sequence achieved a 24.32% Word Error Rate (WER) and 7.47% Character Error Rate (CER), marking substantial improvements over the baseline Tesseract implementation. …”
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Research on the application of improved MCMC algorithm in the measurement of high-dimensional financial data by Naijia Liu, Yuchao Su

“…In the empirical experiments, the estimation error of the fluctuation parameters of the improved algorithm is only 0.0018; the estimation error of the noise variance is only 0.0011; the annealing time is 342 s; and the iteration time is 364 s. …”
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Multi‐Model Ensembles for Upper Atmosphere Models by S. Elvidge, S. R. Granados, M. J. Angling, M. K. Brown, D. R. Themens, A. G. Wood

“…A non‐negative least squares weighting for the MME on a set of bias corrected models provides a 68% and 50% reduction in the mean square error compared to the best model (Jacchia‐Bowman 2008) in the solar minimum and maximum cases, respectively.…”
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Designing a Neural Observer to Estimate the State Variables of the Dynamical System of a Specific Class of Leukaemia by Yousef Farshidi, Reza Ghasemi, Aminin Sharafian Ardekani

“…In order to adjust the neural network weights, the error back propagation learning algorithm was implemented. …”
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Study of Flight Departure Delay and Causal Factor Using Spatial Analysis by Shaowu Cheng, Yaping Zhang, Siqi Hao, Ruiwei Liu, Xiao Luo, Qian Luo

“…The study first explores the delay aggregation pattern by measuring and quantifying the spatial dependence of delay. The spatial error model (SEM) and spatial lag model (SLM) are then established to solve the error correlation and the variable lag effect, respectively. …”
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Optical Strategy Utilizing Contrast Modulation to Slow Myopia by James S. Wolffsohn, MBA, PhD, Kate L. Gifford, BAppSc (Optom), PhD

“…Initial clinical studies with the DOT lenses have demonstrated promising results with a reduction in progression of myopia. This overview summarizes the current knowledge on myopia risk factors, the evidence for involvement of contrast signaling pathways in refractive error development, and the theories and mechanisms behind DOT lens technology. …”
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Implementation of a Low- Cost Multi- IMU by Using Information Form of a Steady State Kalman Filter by A. M. Shahri, R. Rasoulzadeh

“…Results of static test for z-axis show that ARW coefficient reduces to 0.0022°/√s and VRW error isdecreased by %50. Also, dynamic test results show the reduction of the standard deviation of combinedrate signal up to six times compared with a single sensor. …”
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Residential Electrical Load Forecasting Based on a Real-Time Evidential Time Series Prediction Method by M. Mroueh, M. Doumiati, C. Francis, M. Machmoum

“…Application of this method to publicly available load datasets demonstrates its effectiveness, achieving a 12% reduction in forecasting error compared to state-of-the-art methods and delivering substantial improvements in computational efficiency.…”
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Neural Learning Control of Flexible Joint Manipulator with Predefined Tracking Performance and Application to Baxter Robot by Min Wang, Huiping Ye, Zhiguang Chen

“…To facilitate the design, a new transformed function is introduced to convert the constrained tracking error into unconstrained error variable. Then, a novel adaptive neural dynamic surface control scheme is proposed by combining the neural universal approximation. …”
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Efficient multi-station air quality prediction in Delhi with wavelet and optimization-based models. by Lakshmi Sankar, Krishnamoorthy Arasu

“…The AquaWave-BiLSTM framework demonstrated exceptional predictive accuracy, with a Mean Squared Error (MSE) of 0.00065, a Mean Absolute Error (MAE) of 0.04566, a Root Mean Square Error (RMSE) of 0.02523, and an R² value of 0.9494, surpassing conventional methodologies. …”
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A speech recognition method with enhanced transformer decoder by Hengbo Hu, Tong Niu, Zhenhua He

“…Experimental results on the Mandarin Aishell-1 dataset demonstrate that when the encoder is a Conformer, the enhanced decoder achieves a 16.1% reduction in character error rate compared to the Transformer decoder. …”
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Improvement of methodical tools of the seasonal transportation irregularity assessment by D. A. Macheret, A. Yu. Ledney

“…This issue negatively affects operation of the railway transport as higher irregularity of transportation means limitation of the overall volume that can be realized within a year, which results in reduction of effectiveness of the industry resources use.When assessing the seasonal irregularity of transportation by means of the method, significant error takes place due to different number of days in the months. …”
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Improved Low-Complexity, Pilot-Based Channel Estimation for Large Intelligent Surface Systems by Ali Gashtasbi, Mário Marques da Silva, Rui Dinis

“…Collectively, these strategies lead to a significant reduction in the Bit Error Rate (BER) and a remarkable improvement in the overall system performance, offering a practical solution for complex LIS deployments.…”
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Assessment of Future Flood Loss in the Daqing River Basin Based on Flood Loss Rate Function by SHI Rongqing, HUANG Lingmei, LI Jia, SHEN Ao

“…The multiple regression function effectively captures the variation pattern of flood loss rates, with a coefficient of determination (<italic>R</italic>²) ≥ 0.89 and a root mean square error (RMSE) ≤ 0.047 3. Under the rainfall scenarios of 1996 and 2012, future economic flood losses are projected to increase significantly by 392%–452% at maximum, while the number of affected people is expected to decrease, with a minimum reduction of 22%–35%.…”
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Simplified system for isolated word recognition by R. GUBRYNOWICZ, K. MARASEK, W. MIKIEL, W. WIĘŹLAK

“…The average recognition accuracy for a 60 word wocabulary exceeded 98% for individual voices, while in a case of recognition whithout system accomodation to given voice the average error of recognition increased by about 10%.…”
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