THE INTEGRATION PROCESSES AND POLICY OF INTERSTATE COOPERATION IN THE CASPIAN REGION IN THE CONTEXT OF CHANGING THE MODERN INTERNATIONAL ORDER by M. M. Gadzhiev, I. N. Sokolova

“…The article explores the processes of transformation of the Caspian region from the area of post-Soviet collapse into a place for the implementation of strategically beneficial economic projects. …”
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Urban Expansion Scenario Prediction Model: Combining Multi-Source Big Data, a Graph Attention Network, a Vector Cellular Automata, and an Agent-Based Model by Yunqi Gao, Dongya Liu, Xinqi Zheng, Xiaoli Wang, Gang Ai

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Graphic File Formats by Ricky Telg, Ashley McLeod-Morin

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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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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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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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A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier by Laimin Du, Leibin Ni, Xiong Liu, Guanqi Peng, Kai Li, Wei Mao, Hao Yu

“…We employed the proposed approximate multiplier in the vector systolic array as the processing element (PE). …”
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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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Fast and robust strain signal processing for aircraft structural health monitoring by Cong Wang, Xin Tan, Xiaobin Ren, Xuelong Li

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Sustainable Development Assessment of Commercial banks based on the Analytic Hierarchy Process by N. N. Semenova, I. A. Ivanova, A. A. Vasil’kina

“…Within the framework of this approach, criteria for their assessment are proposed for each of the components of the sustainability of the development of commercial banks, a scale of their relative importance is constructed and vectors are determined based on expert assessments. …”
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De mains méridionales en mains septentrionales by Isabelle Sidéra

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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

“…Metode klasifikasi yang digunakan adalah Support Vector Machine, Naïve Bayes, dan Random Forest untuk mengklasifikasikan data. …”
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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

“…Based on features of image texture, Support Vector Machines (SVM) establish a decision boundary that separates collected image samples into two categories of no surface void (negative class) and surface void (positive class). …”
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A two‐stage transformer fault diagnosis method based multi‐filter interactive feature selection integrated adaptive sparrow algorithm optimised support vector machine by Hanyu Shi, Mingxia Chen

“…Abstract The scarcity of samples and disunity of feature inputs hinder the enhancement of transformer fault diagnosis performance, and there are mutual influences between model construction and feature selection, which cannot only consider a single process. Therefore, this study proposes a novel two‐stage transformer fault diagnosis strategy, which includes a multi‐filter interactive feature selection method (MIFS) constructed, and a diagnosis model ASSA‐SVM based on the adaptive sparrow algorithm (ASSA) optimised support vector machine (SVM). …”
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Performance Assessment of Maximum Likelihood, Random Forest and Support Vector Machines Classifier for Urban Land Use Classification: A Case Study of Dhaka Metropolitan City, Bangl... by Ha-mim Ebne Alam, Md. Nizam Uddin, Kazi Tawkir Ahmed, Md. Jahidul Hasan, Md. Yeasir Arafat, Md. Enamul Hoque

“…The classification was conducted by using three methods where the Support vector machines classification (SVMC) produced the best accuracy results of 83.2% overall accuracy and overall kappa coefficient value of 0.74 than both random forest classification (RFC) and maximum likelihood classification (MLC) methods with 86.34% and 83% spatial similarity rate respectively. …”
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Compensation of Speckle Noise in 2D Images from Triangulation Laser Profile Sensors Using Local Column Median Vectors with an Application in a Quality Control System by Paweł Rotter, Dawid Knapik, Maciej Klemiato, Maciej Rosół, Grzegorz Putynkowski

“…In this article, we propose an effective method for suppressing speckle noise in profilometer images of flat surfaces, based on local column median vectors. The method was evaluated across a variety of surface types and compared against existing approaches using several metrics, including the standard deviation of the column mean vector (SDCMV), frequency spectrum analysis, and standard image quality assessment measures. …”
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Effects of vector control interventions on spatio-temporal changes of falciparum malaria risk in children aged 2–10 in sub-Saharan African regions during 2011–2020 by Changkuoth Jock Chol, Changkuoth Jock Chol, Denekew Bitew Belay, Denekew Bitew Belay, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Ding-Geng Chen, Ding-Geng Chen

“…The objective of this study is to investigate the spatiotemporal dynamics of malaria infection risk and assess the effect of vector control interventions on malaria infection rates in SSA nations.MethodsWe utilized data from the Malaria Atlas Project regarding the prevalence of Plasmodium falciparum malaria infections and vector control interventions across 634 administrative areas in 45 SSA countries over a decade. …”
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Features of using Markov decision-making processes when modeling attacks on artificial intelligence systems by Igor A. Vetrov, Vladislav V. Podtopelny

“…Markov decision-making processes are used in the construction of the model. …”
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CROSS-CULTURAL DIFFERENCES PECULIARITIES OF THE INTERDEPENDENCE OF REGULATORY PROCESSES AND ADAPTATION OF STUDENTS TO THE CONDITIONS OF TRAINING IN THE UNIVERSITY by Tatiana Banshchikova, Varvara Morosanova

“…It was established that the ethnos culture and regional features, represented in traditions and customs, set the basic vector and standards ofsubjective evaluation of the importance of the social space of the individual. …”
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