Qutrit Control for Bucket Brigade RAM Using Transmon Systems by Lazaros Spyridopoulos, Dimitris Ntalaperas, Nikos Konofaos

“…Although manipulations of qudit states are generally more complex and can introduce extra sources of noise, qudits can still be used in a number of applications when this error can be kept sufficiently low. …”
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Environment sensing technology of underwater ROV based on artificial siding. by Wenhui Wang, Fumeng Ye, Rufei He

“…Under different conditions, the measurement error decreases to less than 1%. When controlling the environment perception position of underwater ROV, the obtained coordinates are basically consistent with the expected coordinates, realizing the perception of underwater terrain environment and target positioning, which has a wide application prospect for underwater exploration, Marine scientific research, diving operations and other fields. …”
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Parametric and Nonparametric Methods in Medical Statistics by A. N. Gerasimov, N. I. Morozova

“…The article is devoted to the conditions of applicability of parametric and nonparametric methods, including criticism of frequent methodological errors. …”
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The fidelity of dynamic signaling by noisy biomolecular networks. by Clive G Bowsher, Margaritis Voliotis, Peter S Swain

“…We identify two orthogonal sources of error that corrupt perfect representation of the signal: dynamical error, which occurs when the network responds on average to other features of the input trajectory as well as to the signal of interest, and mechanistic error, which occurs because biochemical reactions comprising the signaling mechanism are stochastic. …”
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Investigation with Bluetooth Sensors of Bicycle Travel Time Estimation on a Short Corridor by Zhenyu Mei, Dianhai Wang, Jun Chen

“…Usually bicycle travel time estimates with Bluetooth sensors contain three types of errors: spatial error, temporal error, and sampling error. …”
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Oil well productivity capacity prediction based on support vector machine optimized by improved whale algorithm by Kuiqian Ma, Chunxin Wu, Yige Huang, Pengfei Mu, Peng Shi

“…Traditional oil well productivity capacity prediction methods have a series of problems, such as limited application scope, large prediction errors, difficulty in characterizing changes under the influence of multiple factors. …”
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Comparative Analysis of Nonlinear Methods for Multivariable Water Level Prediction: The Case Study of the Atrato River by Jackson B. Renteria-Mena, Douglas Plaza, Eduardo Giraldo

“…Validation of the approach is performed by comparing various estimation errors using regression metrics such as root mean square error (RMSE), relative mean square error (MSRE), mean absolute error (MAE), relative mean absolute error (MARE), and Nash–Sutcliffe efficiency coefficient (NSE). …”
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Angle Expansion Estimation and Correction Based on the Lindeberg–Feller Central Limit Theorem Under Multi-Pulse Integration by Jiong Cai, Rui Wang, Handong Yang

“…The analysis reveals that even under noise-free conditions, after coherently integrating multiple pulses, the coupling of target amplitude fluctuations and motion state can still cause significant errors in the angle measurement. Subsequently, this paper conducts a detailed analysis of the impact of the amplitude fluctuations and target maneuvers on the random angle measurement error. …”
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Analytical performance evaluation of intelligent quality management of blood gas analyzer by Hongting Tang, Yawen Xiao, Hong Luo, Jian Jiang, Hanqing Xu, Jun Yang, Lihua Yang, Xiang Yang

“…In addition, intelligent QC identified errors in approximately 1.46 % of the samples. Conclusions: The precision and accuracy of the BGA improved significantly compared to those before management, indicating significant advantages of intelligent quality management in quality management applications.…”
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ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile by WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang

“…Taking surface metered injection volumes as the evaluation standard, relative errors were quantified. The least squares method exhibited errors of 9.59% (tubing) and 9.29% (annulus), while the ACO-NM hybrid optimization algorithm yielded relative errors of 1.87% and 3.31% in the tubing and annulus, respectively. …”
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Instantaneous center of rotation, the first step to build up the digital laboratory of complex motions. by Balazs Laczi, Antal Nagy, Arpad Safrany-Fark

“…We also presented a detailed model concerning the effects of inaccurate rotation axis registration on the resulting compromised transformation, improving our understanding of the error tolerance level of articulation systems. Our results show that the system might tolerate errors as great as 3-4 cm in some settings in the parallel error direction, while in case of circular and perpendicular error types an approximately 2 mm axis registration error would exceed the clinically desirable 0.1 mm occlusal error level. …”
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Neutrosophic Clustering in Adaptive AI Learning for Students with Down Syndrome by Rania Lutfi

“… Addressing various error patterns and maintaining student engagement are challenges in the education of students with Down syndrome. …”
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Comparison of Forecasting Performance of ARIMA LSTM and HYBRID Models for The Sales Volume Budget of a Manufacturing Enterprise by Ayşe Soy Temür, Şule Yıldız

“…As a result of the study, Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE) values obtained from each of the methods used in the application were compared, and a monthly sales volume budget was created for 2017 with all the methods used. …”
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Position Accuracy and Distributed Beamforming Performance in WSNs: A Simulation Study by José Casca, Prabhat Gupta, Marco Gomes, Vitor Silva, Rui Dinis

“…Our results reveal that distributed beamforming in the near-field is highly sensitive to position errors, resulting in a noticeable degradation in performance, particularly in terms of Bit Error Rate (BER). …”
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The unresolved struggle of 16S rRNA amplicon sequencing: a benchmarking analysis of clustering and denoising methods by Mohamed Fares, Engy K. Tharwat, Ilse Cleenwerck, Pieter Monsieurs, Rob Van Houdt, Peter Vandamme, Mohamed El-Hadidi, Mohamed Mysara

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Automatic target spraying and field evaluation of unstructured orchard based on millimeter-wave radar by Xing Xu, Jianying Li, Dongying Shen, Jieli Duan, Zhou Yang, Yinlong Jiang

“…The results showed that the average relative errors of plant height, canopy width and volume after correction were 1.51 %, 1.96 % and 3.24 %, respectively. …”
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Prediction of the water solubility by a graph convolutional-based neural network on a highly curated dataset by Nadin Ulrich, Karsten Voigt, Anton Kudria, Alexander Böhme, Ralf-Uwe Ebert

“…Scientific contribution Based on a highly curated dataset, we developed a neural network to predict the water solubility of chemicals for a broad application domain. Data curation was done by us in a step-wise procedure, where we identified various errors in the experimental data. …”
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Interlanguage development among the learners of Indonesian language in Paris by Mahriyuni Mahriyuni, Isda Pramuniati, Dedi Rahmad Sitinjak

“…The main goal is to look at the several kinds of grammatical, syntactic, and lexical errors that appear in their written sentences. This research attempts to determine how learners' native language affects their learning of Indonesian by concentrating on typical mistakes in prepositional usage, adverbial application, word/phrase organization, vocabulary selection, and spelling/capitalization. …”
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Chlorophyll-A Time Series Study on a Saline Mediterranean Lagoon: The Mar Menor Case by Arnau Garcá-i-Cucó, José Gellida-Bayarri, Beatriz Chafer-Dolz, Juan-Carlos Cano, José M. Cecilia

“…Consequently, the application of univariate models—such as Prophet, Triple Exponential Smoothing and ARIMA—are also studied for their relative robustness to error propagation.…”
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Numerical Simulation Study on the Impact of Blind Zones in Ground Penetrating Radar by Wentian Wang, Wei Du, Siyuan Cheng, Jia Zhuo

“…The plane wave assumption is not valid in this area, so the azimuth recognition algorithm will have significant errors, forming blind zones for directional borehole radar detection. …”
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