Noise immunity of radio and mobile communications by K.M. Makhanov, K.T. Ermaganbetov, L.V. Chirkova, A.O. Kasimov, M.A. Maukebayeva, E.T. Arinova, K.M. Turdybekova

“…Correction of transmission errors was carried out by means of application of a Reed-Solomon code. …”
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Variable convergence train noise active control algorithm based on feedforward reference by LI Tao, HE Yuyao, WANG Ning, LI Zhuang, SHEN Zhaoyuan, XIAO Gang

“…Then it was applied to the low-frequency noise reduction of trains. Simulation results show that the algorithm can improve the balance between convergence speed, tracking speed and steady-state error. …”
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Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks by Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis

“…The new method effectively constructs the parameter value range of the artificial neural network with one processing level and sigmoid outputs, both achieving a reduction in training error and preventing the network from experiencing overfitting phenomena. …”
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Design and Analysis of Adaptive Fuzzy Super-Twisting Sliding Mode Controller for Uncertain 2-DOF Robotic Manipulator by Hayleyesus Girma Dirara, Feleke Tsegaye Yareshe, Chala Merga Abdissa

“…Performance is assessed by comparing the proposed AFST-SMC with conventional sliding mode controller (SMC), super-twisting sliding mode controller (ST-SMC), and adaptive fuzzy sliding mode controller (AF-SMC), using integral absolute error (IAE) as a performance criterion. The simulation results indicate that the AF-STSMC successfully reduces the tracking error. …”
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Optical OTFS waveform PAPR analysis for high order modulation employing CNN, DNN, and AE machine learning algorithms under a variety of channel scenarios by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…Power Spectral Density (PSD) analysis verifies that ML-based techniques, such as deep neural networks (DNN), convolutional neural networks (CNN), and autoencoders (AE), are spectrally efficient with negligible out-of-band radiation of -1070 and -1470 for 256QAM with diverse channel conditions. Moreover, Bit Error Rate (BER) performance tests demonstrate an SNR improvement of 8.2 dB and 3.9 at a BER of 10-5, guaranteeing error-free data transmission for diverse mobility scenarios. …”
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Using Adjoint-Based Forecast Sensitivity Method to Evaluate TAMDAR Data Impacts on Regional Forecasts by Xiaoyan Zhang, Hongli Wang, Xiang-Yu Huang, Feng Gao, Neil A. Jacobs

“…This study evaluates the impact of Tropospheric Airborne Meteorological Data Reporting (TAMDAR) observations on regional 24-hour forecast error reduction over the Continental United States (CONUS) domain using adjoint-based forecast sensitivity to observation (FSO) method as the diagnostic tool. …”
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Adaptive delta modulation method for arbitrary adaptation coefficients in the sensor network of the mobile ECG monitoring by О. В. Тимченко, В. І. Лозинський

“…However, the optimality of its value for reducing the quantization error of the adaptive delta encoder was not considered. …”
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Quantifying and Reducing the Operator Effect in LSPIV Discharge Measurements by G. Bodart, J. Le Coz, M. Jodeau, A. Hauet

“…The application of the assisted LSPIV workflow using the proposed tools leads to significant improvements of the discharge measurements with strong reductions of the inter‐participant variability. On the eight videos, the mean interquartile range of the discharge errors is reduced from 17% to 5% and the mean discharge bias is reduced from −9% to 1% with the assisted LSPIV workflow. …”
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Implementation of an Active Vibration Control System on a Cogeneration Plant by Emanuele Voltolini, Daniel Pinardi, Andrea Toscani, Marco Binelli, Angelo Farina, Jessica Ferrari, Andrea Zenaro, Stefano Maglia, Enrico Calzavacca

“…Usually, in these applications the control devices are loudspeakers, and the error signals come from microphones. In outdoor applications, this solution comes with some limitations, such as the ageing of the loudspeakers due to humidity, temperature, rain and dust, and the presence of wired connections between the error sensors and the control system. …”
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Combined use of near infrared spectroscopy and chemometrics for the simultaneous detection of multiple illicit additions in wheat flour by Xinyi Dong, Ying Dong, Jinming Liu, Siting Wu

“…The validation set’s coefficients of determination were 0.9828, 0.9771, 0.9765, with root mean square errors of 0.0008 %, 0.2915 %, 0.2822 %, and residual prediction errors of 7.4067, 6.4020, and 6.2159, respectively. …”
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A Conceptual Investigation of a Large Radio Telescope Support Point Number Effect on Its Pointing Accuracy by Song Xue, Kaitong Ma, Congsi Wang, Peiyuan Lian, Yan Wang, Yuefei Yan, Qian Xu, Yuanpeng Zheng, Na Wang

“…Even though various compensation methods have been proposed to compensate for this pointing error, it remains as one of the challenges for the telescope pointing error reduction. …”
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Novel Spatio-Temporal Joint Learning-Based Intelligent Hollowing Detection in Dams for Low-Data Infrared Images by Lili Zhang, Zihan Jin, Yibo Wang, Ziyi Wang, Zeyu Duan, Taoran Qi, Rui Shi

“…Furthermore, it attained a sub-10% cross-sectional calculation error for hollowing dimensions, outperforming maximum entropy (70.5% error reduction) and OTSU (7.4% error reduction) methods, which shows our method being one novel method for automated intelligent hollowing detection.…”
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Dynamic Interference Control in OFDM-Based Cognitive Radio Network Using Genetic Algorithm by Hamza Khan, Sang-Jo Yoo

“…The results show that the side lobes of the OFDM-based secondary user signal can be reduced by up to 38 dB and the PU interference tolerable limit can be satisfied at the cost of a minor addition in bit error rate (BER). The results further show that the proposed method delivers better performance as compared to non-GA additive signal method in terms of side lobe reduction as well as BER.…”
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Improved performance of gas turbine diagnostics using new noise‐removal techniques by Mohsen Ensafjoo, Mir Saeed Safizadeh

“…Abstract Fault detection and identification (FDI) systems are responsible for detecting and identifying errors as fast as possible with high reliability. …”
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Decomposition-reconstruction-optimization framework for hog price forecasting: Integrating STL, PCA, and BWO-optimized BiLSTM. by Xiangjuan Liu, Yunlong Li, Fengtong Wang, Yujie Qin, Zhongyu Lyu

“…The research demonstrates that the synergy of temporal decomposition, feature dimensionality reduction, and intelligent optimization reduces hog price prediction errors by over 80%, with STL-PCA feature engineering contributing 67.4% of the improvement. …”
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Multi‐Satellite Data Assimilation for Large‐Scale Hydrological‐Hydrodynamic Prediction: Proof of Concept in the Amazon Basin by S. Wongchuig, R. Paiva, V. Siqueira, F. Papa, A. Fleischmann, S. Biancamaria, A. Paris, M. Parrens, A. Al Bitar

“…Assimilating WSE outperforms daily discharge and water‐level estimations, achieving 38% and 36% error reduction, respectively. However, the monthly evapotranspiration estimate achieves the greatest error reduction by assimilating SM with 11%. …”
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A balanced sensor scheduling for multitarget localization in a distributed multiple-input multiple-output radar network by Chenggang Wang, Zengfu Wang, Xiong Xu, Yuhang Hao

“…We formulate it as a minimum-variance estimation problem and show that the underlying variance reduction function is submodular. From the properties of submodularity, we present a balanced selection policy which minimizes the worst-case error value using a minimax strategy. …”
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Influence of Land Use Data Resolution on SCS Model in Runoff Simulation by WANG Menghan, HE Xiaohui, GUO Hengliang

“…Theresolution of land use data has a great influence on the CN value. The error ofmodel simulation can be reduced by applying land use data with higher resolution,with error reduction range between 5% and 10%.…”
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Relationship Between Body Mass Index and Fat Mass Percentage with Proprioception in Children by Eduardo Guzmán-Muñoz, Yeny Concha-Cisternas, Guillermo Méndez-Rebolledo, Manuel Vásquez-Muñoz, Pablo Valdés-Badilla, Tomás Herrera-Valenzuela, Cristian Núñez-Espinosa, Jordan Hernández-Martínez

“…Regression analysis showed that BMI and body fat percentage significantly predicted positional errors in the shoulder, elbow, and knee. In the shoulder joint, girls demonstrated lower positional errors compared to boys, influenced by both BMI (β = −1.36, <i>p</i> = 0.015) and body fat percentage (β = −3.00, <i>p</i> < 0.001). …”
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ILF-neurofeedback in clinical practice: examining symptom change and performance metrics across diagnostic groups by Thomas Theis, Ute Bolduan, Sigrid Seuß, Johannes Spallek, Bernhard Wandernoth, René Mayer-Pelinski, René Mayer-Pelinski

“…ILF Neurofeedback improved response times, reduced errors, enhanced discriminative ability, and increased caution, with no group differences. …”
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