Impact of the Russian Stock Market on Economic Growth by E. A. Fedorova, S. O. Musienko, D. O. Afanas’ev

“…To test these hypotheses, the work employs methods of economic and mathematical modeling and building a vector autoregressive (VAR) model. The authors used the data from the International Monetary Fund (IMF), Moscow Exchange (MOEX) and Finam Investment Holding for the period from January 2000 to July 2019. …”
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Comparative analysis of supervised learning models for effluent quality prediction in wastewater treatment plants. by Liu Bo-Qi, Zhou Ding-Jie, Zhao Yang, Shi Long-Yu

“…This study evaluates the performance of five supervised learning models-AdaBoost, Backpropagation Neural Networks (BP-NN), Support Vector Machine (SVR), XGBoost, and Gradient Boosting (GB)-using data from a WWTP in Zhuhai, China. …”
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LAYOUT GENERATOR OF SMALL SIZED UNMANNED AERIAL VEHICLE by V. V. Vyshinsky, A. O. Kislovskiy

“…The algorithm was built in MATLAB and has convenient interface, which can be used for design process.…”
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Evaluation method of e-government audit information based on big data analysis by Jingui He, Hansi Ya

“…Results demonstrate that the proposed parallel PSO-RF algorithm outperforms conventional RF and Support Vector Machine (SVM) approaches across multiple indicators, with a maximum prediction deviation of only 0.28 % compared to actual audit issue probabilities. …”
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Online Adaptive Error Compensation SVM-Based Sliding Mode Control of an Unmanned Aerial Vehicle by Kaijia Xue, Congqing Wang, Zhiyu Li, Hanxin Chen

“…Besides, a sliding mode control based on online adaptive error compensation support vector machine (SVM) is proposed for stabilizing quad-rotor UAV system. …”
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Cancer Discrimination Using Fourier Transform Near-Infrared Spectroscopy with Chemometric Models by Hui Chen, Zan Lin, Chao Tan

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A Comparative Study of Loan Approval Prediction Using Machine Learning Methods by Vahid Sinap

“…Machine learning models can automate this process and make the lending process faster and more efficient. …”
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Interpretation of Heritage in Mountain Areas (Leitariegos and Cueto Arbás (Asturias, Spain)) Through Experience Based on Virtual Reality by Daniel Herrera, Carmen Rodríguez, Juan Sevilla

“…Using a VR tool, we sought to enhance the identification and interpretation of the keys that lead to the initiation and consolidation of the patrimonialization process, uncovering the processes and agents through their practices, the vectors around which the process pivots, and the conflicts in the competition for land use.…”
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PixelQuery: Efficient Distance Range Join Query Technique for Visualization Analysis by Bo Pang, Zebang Liu, Wei Xiong, Mengyu Ma

“…Experiments conducted on datasets of varying scales demonstrate that this method can handle visualization queries involving tens of millions of elements on a standard laptop, with a maximum processing time of only 7.64 s. This technology provides a robust solution for rapid DRJQ processing and the visualization of large-scale vector data, offering promising potential for a diverse range of applications.…”
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A robust covariate‐invariant gait recognition based on pose features by Anubha Parashar, Apoorva Parashar, Rajveer Singh Shekhawat

“…The proposed data set is used to train a classification model to predict the person in a new video by first processing it to get its identification vector and then to use it as a test case in the classification model. …”
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Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

“…This work compares five supervised machine learning algorithms, including artificial neural networks, support vector regression, kernel ridge regression, random forest, and Lasso regression. …”
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Mathematical modelling and forecasting of the Lithuanian export by Virmantas Kvedaras, Rimantas Rudzkis

“…Further investigated modelling alternatives are the vector autoregression (VAR) and the error correction model (ECM). …”
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Trajectory Estimation Filtering Algorithm for Underwater Equipment Based on UKF by CHEN Ziyue, JI Fuwu, ZHOU Wei

“…Firstly, the implementation process of the classic unscented Kalman filter is explained, and the idea of Sage-Husa adaptive adjustment of noise is introduced; then, on this basis, the prediction residual vector is introduced to reduce the influence of gross error on the filtering result, and a tracking factor is introduced to improve the adaptability of the filter to sudden motion; finally, the effectiveness of the algorithm is verified by simulation experiments and towing experiments. …”
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SOCIAL REHABILITATION AS ONE OF THE PROFESSIONAL ACTIVITIES OF A SOCIAL WORK SPECIALIST by Iryna V. Oliynik

“…The article defines the main vector of the direction in professional training of future social workers. …”
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Analysis of Internet Marketing Forecast Model Based on Parallel K-Means Algorithm by Xiaolei Chen, Sikun Ge

“…By standardizing the data participating in the clustering, the data participating in the clustering is transformed from an irregular distribution to a cluster-like distribution, thereby facilitating the clustering process. The density is introduced to determine the initial center of the cluster, and the purity metric is introduced to determine the appropriate density radius of the cluster center, to achieve the most effective reduction of the support vector machine training samples.…”
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Evaluation and Application of Machine Learning Techniques for Quality Improvement in Metal Product Manufacturing by Katarzyna Antosz, Lucia Knapčíková, Jozef Husár

“…A variety of classification algorithms, including neural networks (NNs), bagged trees (BT), and support vector machines (SVMs), were employed to efficiently analyse and predict defects. …”
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Secure Delivery Method for Preserving Data Integrity of a Video Frame with Sensitive Objects by You-Rak Choi, Yunhee Kang

“…The logger operates a cryptography hash function of a feature vector of a video data frame and an XOR encoding scheme used for hiding the privacy information of sensitive objects in the video data frame. …”
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Researching Issues of Product Range and Stock Management in Trade Chains by S. N. Milov, A. S. Milov

“…As a result of the researching the logistic and marketing work of chain trade operators of FMCG sector in Russia certain trends were found, which determine the vector of their development for the next 5-10 years and at the same time act as the catalyst of their current problems. …”
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Early Prediction of Battery Lifetime Using Centered Isotonic Regression with Quantile-Transformed Features by Muhammad Arslan Khan, Yixing Wang, Benben Jiang

“…To validate our proposed method, we have done a comprehensive comparison among several different benchmarks, including elastic net, gradient boosting regression tree, decision tree, support vector machine, random forest, and Gaussian process regression. …”
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Life safety culture: the concept and the problem of its formation in educational organizations by E. A. Panina

“…Life safety culture is considered to be one of the most important components of basic general education in modern conditions. Its main vector is focused on adequately solving the priority tasks of ensuring personal and national security. …”
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