Modeling and computing experiment in the problem of predicting the per capita monetary income of the population based on the methods of correlation and regression analysis by Angelina Vladimirovna Vaskina, Victoria Igorevna Naats

“…The numerical calculations are accompanied by statistical evaluations of predictive performance of the considered mathematical model, performed the analysis and discussion of the results. …”
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Internet Financial Risk Monitoring and Evaluation Based on GABP Algorithm by Yaqin Guang, Shunyong Li, Quanping Li

“…Finally, GABP is further optimized by the simulated annealing (SA) algorithm. The results show that, compared with the calculation results of the BP model, the GABP algorithm can reduce the number of BP training, has high prediction accuracy, and realizes the complementary advantages of GA and BP neural network. …”
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Timeout threshold estimation algorithm in mimic multiple executors architecture by Delei NIE, Obo ZHA, Chong WANG, Xin WANG, Binghao YAN

“…Aiming at the problem that the current timeout strategy algorithm is difficult to cope with the violent situation of task volume,a timeout threshold prediction algorithm based on equivalent proportional execution time applied to the mimetic defense architecture system is proposed.The algorithm utilizes the principle that the execution time of multiple functional equivalent executable tasks in the mimetic defense architecture is positively related,predicts the task execution time and sets a reasonable timeout threshold.The simulation results show that the proposed algorithm can dynamically predict and set the timeout threshold for different task situations,which effectively improves the timeout judgment efficiency,especially for scenarios with dramatic changes in workload.…”
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ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression by Jingyi Zhang, Shishun Zhao, Yang Xu, Tao Hu

“…This study aims to develop a reliable and efficient prediction algorithm that utilizes unbiased transformation to improve machine learning model performance on interval-censored data. …”
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Algorithmic Collusion: Corporate Accountability and the Application of Art. 101 TFEU by Maria Giacalone

“…Corporate accountability for algorithmic behaviour. - ii.1. Predictable agent scenario. - ii.2. …”
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Analysis of E-Commerce Marketing Strategy Based on Xgboost Algorithm by Hong Chen, Wei Wan

“…After data cleaning and preprocessing, XGboost algorithm is used to predict whether the customer will process the credit card. …”
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Research on Fire Detection of Cotton Picker Based on Improved Algorithm by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song

“…The improved fusion algorithm is used as a learning algorithm to optimize the BP neural network, and the optimized network is used to process and predict the data collected from temperature and gas sensors, which effectively improves the accuracy of fire prediction. …”
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Algorithm for Determining the Position of a Ship Hull-Cleaning Robot by Konrad Chwełatiuk, Anna Kubina, Marcin Michalak, Marek Sikora, Piotr Ściegienka, Łukasz Wróbel

“…The paper explores the development and evaluation of algorithms for the positioning of ship hull cleaning robots, focusing on machine learning and sensor fusion techniques. …”
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Small sample data pricing research based on Reptile algorithm by Junxin Shen, Yi Yang, Fanghao Xiao

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An Optimal Algorithm for Renewable Energy Generation Based on Neural Network by Weihua Zhao, Imran Khan, Shelily F. Akhtar, Mujahed Al-Dhaifallah

“…The results show that the proposed algorithm has technological applications and may greatly improve prediction accuracy.…”
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Adaptive Top-K Algorithm for Medical Conversational Diagnostic Model by Yiqing Yang, Guoyin Zhang, Yanxia Wu, Zhixiang Zhao, Yan Fu

“…In recent years, conversational diagnostic systems have been used to predict diseases through symptom checking. Early systems predicted the likelihood of a single disease by minimizing the number of questions asked. …”
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Artificial Intelligence Algorithm for Optimal Time Series Data Model by Kang Wang

“…Based on the characteristics, the theory and algorithm of model selection are proposed. The model selection theory and algorithm in this paper is used for empirical analysis. …”
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Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram by Jung Nam An, Minje Park, Sunghoon Joo, Mineok Chang, Do Hyoung Kim, Dong Geum Shin, Yeongyeon Na, Jwa-Kyung Kim, Hyung-Seok Lee, Young Rim Song, Yeha Lee, Sung Gyun Kim

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Fast view synthesis optimization algorithm based on texture smoothness by Huan DOU, Ke-bin JIA, Rui-lin CHEN, Yun-zhi XIAO, Qiang WU

“…A fast algorithm was proposed in order to reduce the v ew synthesis optimization (VSO) process in depth cod-ing for 3D-HEVC based on texture map smoothness.With the coding nformation derived from texture video sequences,the pixel regularity of smooth texture region was analyzed to set the skip rule using the properties of intra DC prediction and statistical methods.Then the depth regions corres to the flat texture map regions could be extracted and the VSO process of pixels belonging to this type of depth could be skipped.Experimental results show the effective-ness of the proposed algorithm.…”
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Fast view synthesis optimization algorithm based on texture smoothness by Huan DOU, Ke-bin JIA, Rui-lin CHEN, Yun-zhi XIAO, Qiang WU

“…A fast algorithm was proposed in order to reduce the v ew synthesis optimization (VSO) process in depth cod-ing for 3D-HEVC based on texture map smoothness.With the coding nformation derived from texture video sequences,the pixel regularity of smooth texture region was analyzed to set the skip rule using the properties of intra DC prediction and statistical methods.Then the depth regions corres to the flat texture map regions could be extracted and the VSO process of pixels belonging to this type of depth could be skipped.Experimental results show the effective-ness of the proposed algorithm.…”
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Recommendation algorithm based on GMM clustering and FOA-GRNN model by Yipeng LI, Yeli RUAN, Jie ZHANG

“…Aiming at the problem of low recommendation accuracy caused by sparse data in traditional item-based recommendation algorithm,a recommendation algorithm based on GMM clustering and FOA-GRNN model is proposed.The algorithm firstly uses Gaussian mixture model (GMM) to cluster the item features,then constructs the score matrix according to the clustering results,and fills the score matrix with slope one algorithm.Finally,the user's score based on similarity prediction is taken as input,and the final score is output through FOA-GRNN model.Experimental results based on movielens-2k dataset show that the proposed algorithm can deal with highly sparse data better and has better recommendation accuracy than the other three algorithms.…”
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Research on Classification of Rail Defects Based on Image Processing Algorithm by Mengying HUANG, Jiangping LUO, Wenxing WANG, Jingwei CAO

“…Finally, the category of untrained defects could be predicted by the optimal classification function. The experimental results showed that the proposed algorithm achieved high accuracy in the classification of rail defect images.…”
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Application of Decision Tree-Based Classification Algorithm on Content Marketing by Yi Liu, Shuo Yang

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Genetic Algorithm Based Hybrid Fuzzy System for Assessing Morningness by Animesh Biswas, Debasish Majumder

“…In this paper, genetic algorithm is used to tune the parameters of a Mamdani fuzzy inference model to minimize error with their predicted outputs for assessing morningness of people.…”
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Information Theory in Perception of Form: From Gestalt to Algorithmic Complexity by Daniel Algom, Daniel Fitousi

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