To What Extent Does Discounting ‘Hot’ Climate Models Improve the Predictive Skill of Climate Model Ensembles? by Abigail McDonnell, Adam Michael Bauer, Cristian Proistosescu

“…On regional scales, we find a heterogeneous pattern of error reduction in future regional precipitation. …”
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Modeling the arousal potential of epistemic emotions using Bayesian information gain: a framework for inquiry cycles driven by free energy fluctuations by Hideyoshi Yanagisawa, Shimon Honda

“…This study proposes a novel formulation of these emotions using two types of information gain derived from the principle of free energy minimization: Kullback–Leibler divergence (KLD), representing free energy reduction through recognition, and Bayesian surprise (BS), representing free energy reduction via Bayesian updating. …”
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Usulan Perbaikan Sistem Kerja pada Proses Produksi Crumb Rubber Menggunakan Metode SHERPA di PT. Riau Crumb Rubber Factory by Ismu Kusumanto

“…Metode yang digunakan adalah Systematic Human Error Reduction and Prediction Approach (SHERPA) Berdasarkan hasil identifikasi tersebut selanjutnya ditelusuri penyebab terjadinya kesalahan untuk ditentukan pendekatan guna mengurangi kejadian kesalahan kerja operator. …”
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Double Panel Structure for Active Control of Noise Transmission by Leszek MORZYŃSKI, Grzegorz SZCZEPAŃSKI

“…Passive noise reduction means are commonly used to reduce noise in the industry but, unfortunately, their effectiveness is poor in the low frequency range. …”
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Travel Time Information on Signalized Arterials by Jinhwan Jang

“…At the 4 km study site, the annual benefits from this error reduction could amount to USD 135,200.…”
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OPTIMASI PEMBACAAN SUHU KAMERA TERMAL MENGGUNAKAN REGRESI LINIER by Sevia Indah Purnama, Irmayatul Hikmah, Mas Aly Afandi, Elsa Sri Mulyani

“…The reduction in reading error also occurred by 5.27% at 37 ° C and 6.44% at 38 ° C. …”
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Performance Analysis of Precoded MIMO PLC System Based on Two-Sided Jacobi SVD by Hasna Kilani, Mohamed Tlich, Rabah Attia

“…Numerous simplifications are introduced for the reduction of the algorithm complexity. The performance of the CL MIMO PLC is evaluated in terms of bit error rate (BER), constellation error vector magnitude (EVM), and mean square error (MSE) between the constructed SVD matrices and Matlab computed ones.…”
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LPRLC: Linear predictive run length coding to improve energy consumption of wireless body area networks by Mahdieh Hajiloo Vakil, Zahra Shirmohammadi

“…First- Linear Predictive Coding (LPC) for data prediction, Second- Error calculation, Third- Error coding with Run Length Encoding (RLE) for data compression. …”
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DESIGN AND PERFORMANCE ANALYSIS OF A TWO-STAGE REDUCED MICRO-MOTION SYSTEM WITHOUT ADDITIONAL MOTION

“…In order to achieve a smaller reduction ratio and thus obtain a flexible motion space with higher motion precision,a micro-motion system composed of a two-stage reduction micro-motion mechanism without additional motion and a piezoelectric ceramic actuator was designed,and its driving performance,motion performance and dynamic performance were studied.Based on the principle of flexible hinge lever and the principle of additional motion balance,a two-stage reduction micro-motion mechanism without additional motion was designed,which could realise the precision reduction of input displacement;a piezoelectric ceramic actuator was used to drive the two-stage reduction micro-motion mechanism to form a two-stage reduction micro-motion system;the finite element method was used to complete the analysis of the system's driving performance,kinematic performance and dynamics,and the experimental method to complete the analysis of the system's driving performance and dynamics.The analysis results show that the micro-motion system drive has the advantages of high linearity,small error,etc.…”
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DIB‐BOT: An Open‐Source Hardware Approach for Plate‐Integrated Droplet Interface Bilayer Deposition by Alexander F Mason, Shelley FJ Wickham, Matthew AB Baker

“…Compared to manual fabrication, DIB‐BOT shows a 10‐fold reduction in droplet volume error, a threefold reduction in positional error, and 100% droplet yield. …”
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Research and application of the algorithm editing method for improving active noise control performance by Haisheng Song, Yahui Dong, Na Yang, Zhiyong Chen

“…The results show a noteworthy enhancement in convergence speed and reduction of steady-state error, attained without a simultaneous escalation in computational complexity. …”
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Water quality prediction model based on improved long short-term memory neural network and empirical mode decomposition by Feng Lin, Xu Li, Yang Su, Jun Yan

“…The improved model achieved a 31% reduction in mean absolute error and a 50% reduction in mean squared error for different ammonia nitrogen concentrations. …”
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Multi-feature stock price prediction by LSTM networks based on VMD and TMFG by Zhixin Zhang, Qingyang Liu, Yanrong Hu, Hongjiu Liu

“…(sh600009), the VMD–TMFG–LSTM model achieves a 69.76% reduction in Root Mean Squared Error (RMSE), a 71.41% reduction in Mean Absolute Error (MAE), a 46.28% reduction in runtime, and an improvement of 0.2184 in R-squared (R2), indicating significantly higher prediction accuracy. …”
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An improved calibration method for magnetic sensor of multipoint inclinometer by Yi ZHANG

“…In order to improve the calibration accuracy of the inclinometer and its adaptability to random errors, aiming at the problems that the current multi-position calibration method of the inclinometer does not consider the effect of symmetry on error reduction, the measurement error is introduced in angle rotation correction, and the calibration time is reduced, a multi-point calibration and error simulation method is first established. …”
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Enhancing 4G/LTE Network Path Loss Prediction with PSO-GWO Hybrid Approach by Messaoud Garah, Nabil Boukhennoufa

“…The performance of each optimization method is evaluated using various error metrics, including Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Standard Deviation (STD), Mean Error (ME), and Mean Absolute Percentage Error (MAPE). …”
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Design and Simulation of Full State Feedback Controller for DC Motor by K. Love, C. Kriger, T. Nomzamo

“…A reduction in rise time and steady state-error proves that a FSFB controller with integral control performs better than the original closed loop system without a controller. …”
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A Deep Learning Method for Improving Community Multiscale Air Quality Forecast: Bias Correction, Event Detection, and Temporal Pattern Alignment by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris, Rafaella-Eleni P. Sotiropoulou

“…Performance evaluation shows notable improvements, with a Root Mean Square Error (RMSE) reduction ranging from 34.11% to 71.63%. …”
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Neural Network Method of Controllers’ Parametric Optimization with Variable Structure and Semi-Permanent Integration Based on the Computation of Second-Order Sensitivity Functions... by Serhii Vladov, Lukasz Scislo, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Victoria Vysotska

“…The model achieved a maximum accuracy of 0.993 with 160 training epochs, minimizing the error function to 0.005. In comparison with similar approaches, the proposed method demonstrated better results in accuracy and training speed, which was confirmed by a reduction in the number of iterations by 1.36 times and an improvement in the mean square error by 1.86–6.02 times.…”
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Coordinated frequency modulation strategy considering source–load uncertainty by Xiaohong Dong, Shuo Wang, Dengxin Ai, Yang Ma, Xiaodan Yu

“…For the wind speed prediction error and the uncertainty of EV off-grid time, a cooperative frequency modulation (FM) strategy is proposed.MethodsFirstly, the wind speed interval is divided based on the operating characteristics of WTGs and the load reduction rate. …”
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Adaptive Spatial Modulation Based Visible Light Communications: SER Analysis and Optimization by Jin-Yuan Wang, Jian-Xia Zhu, Sheng-Hong Lin, Jun-Bo Wang

“…This paper investigates the average symbol error rate (SER) for the VLC using an adaptive spatial modulation (ASM). …”
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