Scan path visualization and comparison using visual aggregation techniques by Vsevolod Peysakhovich, Christophe Hurter

“…First, fixation points are clustered using the mean-shift algorithm. Second, saccades are aggregated using the Attribute-Driven Edge Bundling (ADEB) algorithm that handles a saccades direction, onset timestamp, magnitude or their combination for the edge compatibility criterion. …”
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Retracted: Image Target Detection Algorithm of Smart City Management Cases by Ping Tan, Kedun Mao, Sheng Zhou

“…The mean filtering algorithm can reduce the effect of noise by pre-processing the image. …”
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Case Study of Genetic Algorithms in Metrology: Assessment of Inter-laboratory Comparisons by Coulon Romain

“…While traditional methods such as the weighted mean and weighted median often fail to handle extreme values and non-Gaussian distributions, advanced techniques like the Monte Carlo Median (MCM) and Power Moderated Mean (PMM) offer improved robustness. …”
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Purchasing Prediction Using Machine Learning Algorithms for Optimizing Inventory Management by Reza Hamdi Prayetno, Rani Destika Purba, Kyrene Wirawan, Kelvin Sweet, Evta Indra

“…The LSTM method is used to predict spare parts stock with significant accuracy, demonstrated through evaluation metrics: Mean Absolute Error (MAE) 12%, Mean Squared Error (MSE) 2%, and Root Mean Square Error (RMSE) 15%. …”
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An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection by ZHANG Han

“…In order to improve the accuracy and tracking speed of harmonic current detection, an improved variable step-size LMS (least mean square ) algorithm was proposed based on LMS algorithm. …”
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Inverse versus convolution treatment planning algorithms for gamma knife radiosurgery by Marwa Ghanim, Siham Abdullah, Moneer Faraj, Nabaa Alazawy

“…The mean dose delivered was 15.86±3.86Gy, and the mean number of gamma radiation shots was 12.56±6.95. …”
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A simple and efficient algorithm for genome‐wide homozygosity analysis in disease by Wei Liu, Jinhui Ding, Jesse Raphael Gibbs, Sue Jane Wang, John Hardy, Andrew Singleton

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Research on rock strength prediction model based on machine learning algorithm by Xiang Ding, Mengyun Dong, Wanqing Shen

“…By selecting different features, the optimal feature combination for predicting rock compressive strength was obtained, and the optimal parameters for different models were obtained through the Sparrow Search Algorithm (SSA). Finally, four regression evaluation indicators, including mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R2), were used to evaluate the predictive performance of the established regression models. …”
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Co-evolutionary algorithm with a region-based diversity enhancement strategy by Kangshun Li, RuoLin Ruan, Shumin Xie, Hui Wang

“…The proposed algorithm consists of two populations: a main population dedicated to exploring the constrained Pareto front and an auxiliary population tasked with exploring the unconstrained Pareto front. …”
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Live Weight Prediction in Norduz Sheep Using Machine Learning Algorithms by Cihan Çakmakçı

“…The results showed that the prediction performance validated using the test dataset indicated that RF had the lowest values of Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percent Error (MAPE). …”
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Compression Index Regression of Fine-Grained Soils with Machine Learning Algorithms by Mintae Kim, Muharrem A. Senturk, Liang Li

“…The dataset includes LL, PL, <i>W</i>, PI, <i>G_s</i>, and <i>e</i>₀ as the inputs, with <i>C_c</i> as the output parameter. The algorithms are trained and evaluated using metrics such as the coefficient of determination (R²), mean absolute error (MAE), mean squared error (MSE), and root mean squared error (RMSE). …”
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Design Secured Smart Door Lock Based on Jaro Winkler Algorithm by Sura Mahmood Abdullah

“…The main purpose of design smart door lock, using Jaro Winkler algorithm is to compare the registered password security with each entered password which may contain some wrong or swapped characters. …”
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Forecasting returns volatility of cryptocurrency by applying various deep learning algorithms by Farman Ullah Khan, Faridoon Khan, Parvez Ahmed Shaikh

“…Abstract The study aims at forecasting the return volatility of the cryptocurrencies using several machine learning algorithms, like neural network autoregressive (NNETAR), cubic smoothing spline (CSS), and group method of data handling neural network (GMDH-NN) algorithm. …”
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Optimization of data allocation in hierarchical memory for blocked shortest paths algorithms by A. A. Prihozhy

“…This paper is devoted to the reduction of data transfer between the main memory and direct mapped cache for blocked shortest paths algorithms (BSPA), which represent data by a D[M×M] matrix of blocks. …”
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Correlation Filtering Algorithm of Infrared Spectral Data for Dim Target Tracking by Wenjian Zheng, An Chang, Qi Wang, Jianing Shang, Mandi Cui

“…After the image noise reduction processing by the mean shift filtering algorithm, the infrared small and weak target image data model is constructed by using the denoised infrared small and weak target image. …”
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Predicting algorithm of attC site based on combination optimization strategy by Zhendong Liu, Xi Chen, Dongyan Li, Xinrong Lv, Mengying Qin, Ke Bai, Zhiqiang He, Yurong Yang, Xiaofeng Li, Qionghai Dai

“…The algorithm has better portability and higher prediction accuracy compared with the existing advanced algorithms, among which the Pearson correlation coefficient is 0.87, explained variance score is 0.73, root mean square error is 0.006 and mean absolute error is 0.041. …”
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Homogenization of the Probability Distribution of Climatic Time Series: A Novel Algorithm by Peter Domonkos

“…The input dataset of the algorithm is identical with the homogenization results for section means of the studied time series. …”
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Development of Traditional Algorithm Used in Denoising to Enhance Contrast of the Color Images by Hanan Ali, Esraa Al-Majed, Asmaa Nadhim, Rahma Saleem

“…In this research applied  traditional algorithm filter to improve the <strong>Adaptive Contrast Enhancement</strong> Global  Filter (ACE _mean) and has been the development of this algorithm to a new two Hybrid algorithms to improve the contrast Enhancement (<strong>Median Contrast Enhancement</strong> ACE_median) and the other algorithm is (<strong>Max & Min Contrast Enhancement ACE_max&min</strong>). the two hybrid algorithms obtained from merging two available methods, first is the traditional algorithm (ACE_mean)  with the second methods of another practice in improving the image is (<strong>Smoothing Images Enhancement</strong>) which is used to removing the noise from images .the results of each method were compared with the results of  other algorithms to show the best of them.…”
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Forest Fire Detection Algorithm Based on Improved YOLOv11n by Kangqian Zhou, Shuihai Jiang

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Features of modern algorithm of examination and treatment patients with endo-perio lesions

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