Main directions of economic reintegration process of Sevastopol and Crimea into the Russian Federation by N. V. Alesina, B. A. Bukach, E. A. Posnaya

“…Methods of financial analysis, statistical reporting data and legislation regulating the integration process were used. Results and discussion. The main problems of integration are identified and the vector of their solution is indicated. …”
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A Model Predictive Algorithm for Active Control of Nonlinear Noise Processes by Qi-Zhi Zhang, Woon-Seng Gan, Ya-li Zhou

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Evaluation of color stability of ice cream with Spirulina platensis by image processing by Boyanova Petya, Bosakova-Ardenska Atanaska, Danev Angel, Kutryanska Magdalina, Dobreva Valentina, Chavdarova Ani, Gradinarska Dilyana

“…The current study aimed to evaluate the color stability of ice cream samples with added Spirulina platensis powder by image processing. The change in color characteristics was monitored during 30 days of storage at -18°C. …”
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Footwork recognition and trajectory tracking in track and field based on image processing by Jiaju Zhu, Zhong Zhang, Runnan Liu, Junyi Liu

“…To solve the problem that traditional footwork is inaccurate and not well accepted by people, this paper has used an image processing method based on support vector machine (SVM) algorithm to identify and track the footwork. …”
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Graphic File Formats by Ricky Telg, Ashley McLeod-Morin

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DiffusionBAS: Estimating Camera External Orientation Through Diffusion Process by V. V. Kniaz, V. V. Kniaz, T. N. Skrypitsyna, V. A. Knyaz, V. A. Knyaz, S. Yu. Zheltov

“…Therefore, an automatic 2D-to-3D reconstruction that can assists architecture historians in process of restoration of original 3D shape of a lost site of culture heritage is required. …”
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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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DC MOTOR DISCRETE CONTROL TECHNIQUE by Andrey Razmikovich Aydinyan, Olga Leonidovna Tsvetkova, Alexander Alexeyevich Molchanov

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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes by Juan Lu, Xiaoping Liao, Steven Li, Haibin Ouyang, Kai Chen, Bing Huang

“…In this study, support vector machine (SVM) is applied to develop prediction models for machining processes. …”
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Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan by A. Sarabchi, H. Rezaei, F. Shahbazi

“…Consequently, the accuracy of the classification and the Kappa coefficient (using support vector machine algorithm) increased to 85.24% and 0.82, respectively.   …”
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The chemosensory world of mosquitoes: olfactory receptors and their role in blocking mosquito-borne disease transmission by Sitian Xiong, Jingjing Liang, Shuyang Gao, Zhilong Liu, Hong Zheng, Xuesen Yang, Ying Wang, Shasha Yu

“…Abstract Mosquitoes are vectors for a variety of infectious diseases, which pose a significant threat to human health, public well-being, and national security. …”
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Model of Optimization of Process Parameters for Machining of Separate Design Elements of the Product by Gulnara Zhetessova, Irina Khrustaleva, Viacheslav Shkodyrev, Olga Zharkevich, Aliya Kanatova, Murat Kozhanov, Gulim Tattimbetova, Gulnur Abdugaliyeva

“…Processing of individual design elements of the product is a structurally complex process, which is a clear sequence of actions characterized by a set of parameters. …”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…And the characteristic features screened out were helpful to understand the complex influence of external meteorological factors on the flowering process.…”
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Analisis Sentimen Aplikasi Playstore Sirekap 2024 Pasca Pilpres Dengan Perbandingan Metode Support Vector Machine (SVM), Naïve Bayes Classifier Dan Random Forest. by Dede Ardian TARIGAN

“…The technical stages used in this research include data scraping, data pre-processing, pattern labeling, feature extraction/weighting, data splitting, and the sentiment analysis classification process. …”
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A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History-Based Adaptive Differential Evolution Optimized Support Vector Machine by Nhat-Duc Hoang, Quoc-Lam Nguyen

“…To inspect the quality of concrete structures, surface voids or bugholes existing on a concrete surface after the casting process needs to be detected. To improve the productivity of the inspection work, this study develops a hybrid intelligence approach that combines image texture analysis, machine learning, and metaheuristic optimization. …”
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Presenting a Hybrid Model based on the Machine Learning for the Classification of Banking and Insurance Industry Common Customers by Hamidreza Amirhassankhani, Abbas Toloie Eshlaghy, Reza Radfar, Alireza pourebrahimi

“…To this end, a hybrid model based on support vector machine and genetic algorithm is used. The support vector machine is responsible for modeling the relationship between customer performance and their identity information and the genetic algorithm is responsible for tuning and optimizing the parameters of the support vector machine. …”
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A simple method to generate stable cell lines for the analysis of transient protein-protein interactions by Emilia Elizabeth Savage, Denise Wootten, Arthur Christopoulos, Patrick Michael Sexton, Sebastian George Barton Furness

“…Transient protein-protein interactions form the basis of signal transduction pathways in addition to many other biological processes. One tool for studying these interactions is bioluminescence resonance energ y transfer (BRET). …”
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Loop-induced masses for the first two generations with optimum flavour violation by Gurucharan Mohanta, Ketan M. Patel

“…The fermionic self-energy corrections that lead to this arrangement are induced through heavy vector bosons of a new gauged flavour symmetry group G F . …”
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Evaluation of Multi-Class Classification Performance Lung Cancer Through K-NN and SVM Approach by Muh. Indra Endriartono Saputra Troy, Sitti Rahmah Jabir, Siska Anraeni

“…In an effort to improve diagnosis and treatment, this study proposes an approach for multiclass performance evaluation using K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) algorithms based on 2024 data. in this study KNN is implemented conventionally while SVM applies 2 kernel processes, namely Linear and Polynominal. …”
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