ALGORITHMS FOR IDENTIFICATION OF CUES WITH AUTHORS’ TEXT INSERTIONS IN BELARUSIAN ELECTRONIC BOOKS by Y. S. Hetsevich, T,. I. Okrut, B. M. Lobanov

“…The main stages of algorithms for characters’ gender identification in Belarusian electronic texts are described. …”
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Estimation of Parameters of Finite Mixture of Rayleigh Distribution by the Expectation-Maximization Algorithm by Noor Mohammed, Fadhaa Ali

“…This paper aims to infer model parameters by the expectation-maximization (EM) algorithm through the maximum likelihood function. …”
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Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication by Taifei ZHAO, Longfei LIU, Jing WANG, Liyang YANG

“…There are serious intersymbol interference (ISI) and signal attenuation in wireless ultraviolet communication system.Aiming at this problem,an improved constant modulus fractionally spaced equalizer (CMA-FSE) based on signal-to-noise (SNR) estimation was proposed.The algorithm combined the fractionally spaced equalizer (FSE) and constant modulus algorithm (CMA) for blind equalization of wireless ultraviolet channels.The input SNR was measured by the mean square value of the received signal,and it was used to determine the best iterative step to ensure the convergence of the equalization algorithm.Simulation results show that the improved CMA-FSE algorithm can converge rapidly under various SNR,and it can effectively suppress ISI and improve the BER performance of the system.Compared with the existing algorithms,the improved algorithm is more useful in channel tracking and noise suppression.…”
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Real-time Rainflow Algorithm and Its Application in IGBT Life Prediction by FU Hangjie, LIU Wenye, LI Yanyong, LAI Wei, WANG Liping, LI Donglei

“…In this paper, an improved rainflow algorithm was presented. Firstly, the measured stress spectrum data is filtered and transformed into extreme data, and then the stress cycles are identified and counted, finally the real-time stress amplitude spectrum and its mean value array can be draw out. …”
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Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine

“…To validate the performance and efficiency of the algorithm, various statistical criteria are computed, including individual absolute error (IAE), relative error (RE), root mean square error (RMSE), mean absolute error (MAE), standard deviation (SD), tracking signal (TS), normalized forecast measure (NFM), and the autocorrelation function (ACF). …”
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AN IMPROVED ALGORITHM FOR TIME DOMAIN AVERAGING BASED ON FRACTIONAL DELAY FILTERING by ZOU JinChun, QU Lei, DAI GuangHao, WANG XiuFeng, SHEN YuDi

“…For reducing the influence of truncation error on the accuracy of time domain averaging（ TDA） induced by noninteger-period sampling,an improved algorithm of TDA based on fractional delay filtering（ FDF） is presented.On the basis of analyzing the disadvantages of current methods of TDA and the characteristics of FDF,a presently improved method of signal truncation was used in the method to avoid the accumulation of truncation error and obtain a delay factor on each of the truncated signals,the reconstruction and resample for the truncated signals were implemented with FDF,and finally the arithmetic mean were computed after all of the truncated signals were added.The theoretical analysis and experimental results demonstrate that the method which fully makes using of the advantages of FDF on the change of delay factor,apparently reduces the truncation error of signals with non-integer-period sampling,and could obviously improve the accuracy of TDA without key-phase signal.…”
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An Improved Spectral Clustering Community Detection Algorithm Based on Probability Matrix by Shuxia Ren, Shubo Zhang, Tao Wu

“…The similarity graphs of most spectral clustering algorithms carry lots of wrong community information. …”
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Improved CMA-FSE blind equalization algorithm for wireless ultraviolet communication by Taifei ZHAO, Longfei LIU, Jing WANG, Liyang YANG

“…There are serious intersymbol interference (ISI) and signal attenuation in wireless ultraviolet communication system.Aiming at this problem,an improved constant modulus fractionally spaced equalizer (CMA-FSE) based on signal-to-noise (SNR) estimation was proposed.The algorithm combined the fractionally spaced equalizer (FSE) and constant modulus algorithm (CMA) for blind equalization of wireless ultraviolet channels.The input SNR was measured by the mean square value of the received signal,and it was used to determine the best iterative step to ensure the convergence of the equalization algorithm.Simulation results show that the improved CMA-FSE algorithm can converge rapidly under various SNR,and it can effectively suppress ISI and improve the BER performance of the system.Compared with the existing algorithms,the improved algorithm is more useful in channel tracking and noise suppression.…”
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Sparse adaptive constant blind equalization algorithm for sparse multipath channel by Si-yang MA, Hua PENG, Bin WANG

“…In order to improve the convergence rate of the blind equalizer for sparse multipath channel,a novel blind equalization approach called l₀-norm constraint proportionate normalized least mean square constant algorithm was proposed for M-order phase-shift keying (MPSK) signal.Based on the constant modulus characteristics of MPSK signal and the sparse property of equalizer,a new blind equalization cost function with the l₀-norm penalty on the equalizer tap coefficients was firstly constructed.Then the update formula of the tap coefficients was derived according to the gradient descent algorithm.Moreover,the iteration step was updated by drawing upon the normalized proportionate factor.The algorithm not only assigned step sizes proportionate to the magnitude of the current individual tap weights,but also attracted the inactive taps to zero adaptively.Theoretical analysis and simulation results show that the proposed algorithm outperforms the existing blind equalization algorithms for sparse channel in reducing ISI and improving convergence rate.…”
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Research and application of adaptive algorithm for 5G voice quality evaluation by Yuxiang ZHAO, Yaxin JI, Li YU, Tianyi ZHOU, Hang ZHOU

“…MOS (mean opinion score) is usually used to evaluate voice quality in the industry.It can objectively and fairly reflect the user’s voice service perception.It is difficult and costly to obtain data by road test, so a trained supervised learning model is usually used to predict the MOS score.However, the operator voice data has the characteristics of low percentage of MOS low score data and time sequence change, which affects the accuracy and generalization of the model prediction.Based on the study of existing data acquisition systems and machine learning algorithms of operators, an adaptive algorithm for MOS evaluation of 5G speech quality was proposed.Firstly, POLQA algorithm test equipment based on full parameter evaluation obtained training data to ensure the accuracy of training samples.Secondly, by means of data enhancement, the difficulty of acquiring poor quality samples was solved.Finally, based on the adaptive algorithm selection, the optimal MOS prediction model could be selected periodically and dynamically according to the timing changes of data features, so as to achieve large-scale and intelligent evaluation of 5G voice quality.…”
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Variable step-size LMP algorithm based on correntropy induced metric by TANG Qi, YANG Xinliu

“…For the problem of underwater sparse channel estimation under <italic>α</italic>-stable distributed impulsive noise, correntropy induced metric variable step-size least mean p-power (CVSS-LMP) algorithm was proposed. The correntropy induced metric was used to represent the similarity between the error vector and the zero vector, thereby suppressing the influence of impulsive noise on the steady-state accuracy of the CVSS-LMP algorithm. …”
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Lower bounds for quantum-inspired classical algorithms via communication complexity by Nikhil S. Mande, Changpeng Shao

“…For those problems, we prove a quadratic lower bound in terms of the Frobenius norm of the underlying matrix. As quantum algorithms are linear in the Frobenius norm for those problems, our results mean that the quantum-classical separation is at least quadratic. …”
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Improved Backpropagation Using Genetic Algorithm for Prediction of Anomalies and Data Unavailability by Gunadi Widi Nurcahyo, Akbari Wafridh, Yuhandri

“…To enhance BPNN's effectiveness, this study integrates Genetic Algorithm (GA) optimization, forming the BPGA method. …”
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Forecasting household monthly electricity consumption using the similar pattern algorithm by Bistoon Hosseini

“…Out of the 72,000 predictions made using the proposed algorithm, the mean absolute percentage error is 16.9%. …”
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Review of Josh Simons’ Book "Algorithms for the People – Democracy in the Age of AI" by Thomas Klikauer

“… Increasingly, artificial intelligence, algorithms and machine learning models guide what Internet users see and read on their screens. …”
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Focused Crawler for Event Detection Using Metaheuristic Algorithms and Knowledge Extraction by Hossein Moradi, Fatemeh Azimzadeh

“…By integrating this method with machine learning algorithms, the proposed technique exhibits improvements in experiments, including decreased execution time and enhancements in metrics such as Root Mean Square Error (RMSE) and accuracy score. …”
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Hyperparameter Optimization EM Algorithm via Bayesian Optimization and Relative Entropy by Dawei Zou, Chunhua Ma, Peng Wang, Yanqiu Geng

“…These parameters, which regulate the behavior of the machine learning algorithm and cannot be directly learned from the given training data, can significantly affect the performance of the model. …”
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Adaptation of image reconstruction algorithm for purposes of ultrasound transmission tomography (UTT) by A. B. DOBRUCKI, K. J. OPIELIŃSKI

“…The convolution and backprojection algorithm optimized in this research can be applied directly to the UTT visualization of the internal structure of objects as a distribution of local sound velocities in this structure, reconstructed on the basis of measurements of mean times of the passage of an ultrasonic wave through a cross-section of an object immersed in water, in a parallel ray projection geometry.…”
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Application of Improved Sage-Husa Algorithm in SINS/GPS Integrated Navigation by WEN Sheng, LIU Caiyun, LUAN Tiantian, SUN Mingxiao

“…Then, by the introduction of the fading factor in the strong tracking filtering, the prediction mean-square error matrix is corrected online, so that the improved algorithm has the ability to cope with the uncertainties such as systematic error interference. …”
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Differential bond energy algorithm for optimal vertical fragmentation of distributed databases by Shikha Mehta, Parul Agarwal, Prakhar Shrivastava, Jharna Barlawala

“…Results are depicted in form of line graphs. The mean difference in GAM values for both algorithms are also illustrated. …”
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