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861
BiometricIdentity dApp: Decentralized biometric authentication based on fuzzy commitment and blockchain
Published 2024-12-01“…The logic of the smart contract employs the fuzzy commitment scheme (FCS) to securely hash biometric templates, while always maintaining fault tolerance thanks to error correction codes (ECC). This mechanism ensures data integrity within a transparent, decentralized framework. …”
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862
Simulation of generator frequency stabilization in infocommunication systems
Published 2016-12-01Get full text
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863
Application value of MRI examination in the diagnosis of complex anal fistula
Published 2023-10-01“…[Objectives] To investigate the application value of MRI examination in the diagnosis of complex anal fistula. …”
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864
Exponentiated Generalized Weibull Exponential Distribution: Properties, Estimation and Applications
Published 2024-04-01“…Monte Carlo simulation study to ascertain the behavior of the estimators in terms of average absolute biases and mean square error is carried out. All the estimators performed very well since the average absolute biases and mean square errors decrease as the sample size increases. …”
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865
FEATURES OF APPLICATION OF FILTERS KALMAN-BJUSI IN ORIENTATION AND NAVIGATION COMPLEXES
Published 2019-06-01“…On the basis of an optimum filtration theory the analysis of methodical errors which are possible at application an optimum estimation algorithm of stochastic system phase co-ordinates is carried out. …”
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866
PROSPECTS OF APPLICATION OF ORIGINAL MULTIROBOTIC SYSTEM FOR BRACHYTHERAPY OF PROSTATE CANCER
Published 2017-02-01Get full text
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867
Application of Double Exponential Smoothing Method for Forecasting Laptop Sales
Published 2025-01-01Get full text
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868
Core-Level Modeling and Frequency Prediction for DSP Applications on FPGAs
Published 2015-01-01“…We evaluate CMD’s prediction methods using several high-performance DSP applications on various families of FPGAs and show an average clock-frequency prediction error of 3.6%, with a worst-case error of 20.4%, compared to the best of existing high-level prediction methods, 13.9% average error with 48.2% worst-case error. …”
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869
Are Natural Language Processing methods applicable to EPS forecasting in Poland?
Published 2025-02-01“…The SRW model consistently demonstrated the lowest error rates, as measured by the mean arctangent absolute percentage error, and outperformed the NLP-based models across different periods and error metrics. …”
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870
Assessing Stereo Camera Applicability for Digital Monitoring of Cattle Exterior
Published 2024-12-01“…(Conclusions) The study confirmed that the number of stereo pairs does not impact accuracy, and the observed error represents the accuracy limit for these stereo pairs in stereo vision applications.…”
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871
On the Construction of Self-Complementary Codes and their Application in the Problem of Information Hiding
Published 2022-09-01“…Line codes are widely used to protect against errors in data transmission and storage systems, to ensure the stability of various cryptographic algorithms and protocols, to protect hidden information from errors in a stegocontainer. …”
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872
Elliptical Orbits Mode Application for Approximation of Fuel Volume Change
Published 2022-03-01“…The calculation of the approximation method will be applied to the measuring book data from the Semarang Metrology Regency specifically for the Pertalite (Fuel Product of Pertamina) buried tank, because the calculation of the gas station is not smooth, it is necessary for a smoother data fitting by considering Residual Square Error (RSS) and Mean Square Error (MSE). The result of this research is the application of EOM(θ) measuring book with elliptical height control produces smaller RSS and MSE compared to using COM, EOM, Least Square degree two and three.…”
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873
Formation Pore Pressure Prediction and Application Based on Aacoustic Logging
Published 2023-08-01“…The results show that the maximum error of the prediction results of the equivalent depth method and the effective stress method exceeds 10%, which cannot satisfy the engineering damands, while the prediction error of the Eaton method is the smallest, with a maximum error of 4.77%. …”
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874
Application of Hybrid Algorithm with Large Data in Wind Farm Modeling
Published 2019-02-01Get full text
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875
INFLATION FORECASTS IN AMBON USING NEURAL NETWORK APPLICATIONS BACKPROPAGATION
Published 2022-06-01Get full text
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876
Application of Automatic Test Technology in Network Control Software Testing
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877
Linear mixed effects models under inequality constraints with applications.
Published 2014-01-01“…Since in many applications sample sizes are small and/or the data are not necessarily normally distributed and furthermore error variances need not be homoscedastic (i.e. heterogeneity in the data) we use an empirical best linear unbiased predictor (EBLUP) type residual based bootstrap methodology for deriving critical values of the proposed test. …”
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878
Iterative Schemes for Fixed Points of Relatively Nonexpansive Mappings and Their Applications
Published 2010-01-01Get full text
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879
Applicability Evaluation of TRMM Satellite Precipitation Data in Jiangsu Province
Published 2023-01-01“…According to the measured data of 167 rainfall stations in Jiangsu Province from 2000 to 2013,the feasibility of the application of TRMM satellite precipitation data (TRMM 3B42 daily precipitation products and TRMM 3B43 monthly precipitation products) in Jiangsu Province is tested and discussed at multiple scales.On the multi-year average scale,the spatial distribution of TRMM precipitation data and measured precipitation data are decreasing from south to north,but the precipitation value of TRMM is higher than the measured one.On the daily scale,the coincidence degree between TRMM 3B42 precipitation data and measured precipitation data is tested by precipitation frequency,missing and empty retrieval rates,and precipitation classification.The missing and empty retrieval rates of Lianyungang and Suqian are lower,thus,in the two places,TRMM inversion data are more accurate to distinguish whether there is precipitation in the actual situation.The relative error of TRMM 3B42 data for measuring light rain is relatively large,while it is small for medium rain,heavy rain,and rainstorm.On the monthly scale,it can be seen that the consistency between TRMM 3B43 data and ground data is overall high by examining the correlation coefficient and the absolute error.The correlation coefficient is the highest in Xuzhou and the north of Lianyungang but slightly lower in the south of Jiangsu and surrounding areas of Hongze Lake.On the annual scale,the variation coefficients between the measured precipitation data and the TRMM precipitation data are compared,and they show the same law that the fluctuation of precipitation is small in the south of Jiangsu but large in the north.…”
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880
Construction technology and intelligent application of transparent working face model
Published 2024-11-01“…Verified data show that model errors are within 0.2 m, with 97% of errors falling within the 0-0.1 m range. …”
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