Ni-Doped Cu10%/YIG Nanoparticle-Based Metamaterials: Synthesis and Electromagnetic Property Investigation at Terahertz Frequencies by Ali Bahari, Fatemeh Delkhosh, Reza Gholipur

“…UV spectroscopy verified that the electronic structure and optical properties of the samples matched predicted characteristics Measurements of dielectric permittivity and magnetic permeability were conducted at room temperature using scattering parameters from a Vector Network Analyzer (VNA) and processed through MATLAB software. …”
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Applying an optimized low risk model for fast history matching in giant oil reservoir by Mojtaba karimi, Ali Mortazavi, Mohammad Ahmadi

“…In this paper the latest approaches for automated history matching (AHM) were applied to a real brown field with 14 active wells with multiple responses (production rate, bottom hole pressure and well block pressure) located in south part of Iran. Modified support vector machine was employed to create proxy model in which 44 model parameters were incorporated based on design of experimental. …”
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Predicting per capita expenditure using satellite imagery and transfer learning: A case study of east Java province, Indonesia by Heri Kuswanto, Wahidatul Wardah Al Maulidiyah, Widhianingsih Tintrim Dwi Ary, Yudistira Ashadi

“…These extracted features are then used as independent variables to predict East Java's per capita expenditure using Support Vector Regression (SVR) with RBF and polynomial kernels. …”
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Transformation of the Institution of Anti-Trust Regulation (Mechanism and Concept) by K. A. Kudryavtsev

“…To find a new vector of developing anti-trust regulation the article researches mechanism of its transformation. …”
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DDoS attack detection and defense based on hybrid deep learning model in SDN by Chuanhuang LI, Yan WU, Zhengzhe QIAN, Zhengjun SUN, Weiming WANG

“…Software defined network (SDN) is a new kind of network technology,and the security problems are the hot topics in SDN field,such as SDN control channel security,forged service deployment and external distributed denial of service (DDoS) attacks.Aiming at DDoS attack problem of security in SDN,a DDoS attack detection method called DCNN-DSAE based on deep learning hybrid model in SDN was proposed.In this method,when a deep learning model was constructed,the input feature included 21 different types of fields extracted from the data plane and 5 extra self-designed features of distinguishing flow types.The experimental results show that the method has high accuracy,it’s better than the traditional support vector machine (SVM) and deep neural network (DNN) and other machine learning methods.At the same time,the proposed method can also shorten the processing time of classification detection.The detection model is deployed in SDN controller,and the new security policy is sent to the OpenFlow switch to achieve the defense against specific DDoS attack.…”
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Producing the digital soil fertility map of Karelia by S. G. Novikov

“…Morozova in 2000, was scanned and converted into a vector layer with the use of the MapInfo Professional 8.5 software package. …”
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Bankline extraction in remote sensing images using principal curves by Yun GUO, Yi-huai WANG, Chun-ping LIU, Sheng-rong GONG, Yi JI

“…A new bankline extraction method based on the principal curves was proposed. In the learning process, the polygonal line (PL) algorithm and the error back propagation (BP) algorithm were combined. …”
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Meta-path convolution based heterogeneous graph neural network algorithm by QIN Zhilong, DENG Kun, LIU Xingyan

“…In the multilayer graph convolution calculation, each node is usually represented as a single vector, which makes the high-order graph convolution layer unable to distinguish the information of different relationships and sequences, resulting in the loss of information in the transmission process. …”
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NATIONAL AND CULTURAL PECULIARITIES OF THE LOVE CONCEPT IN THE PHRASEOLOGICAL PICTURE OF THE WORLD by G. Marinina, M. Pisklova

“…The author provides a completely new speciication of basic vectors to accumulate changes in information-knowledge continuum correlating with the conceptualized notion as the language sign reveals the interaction between its use and mental constructs containing socio-cultural elements. …”
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THE PROBLEMS OF SERBIAN SELF-DETERMINATION IN FOREIGN POLICY: THROUGH THE THORNS TO THE “STARS” OF THE EUROPEAN UNION by M. M. Lobanov, J. Z. Lobanova

“…The principle of multi-vector foreign policy has been developed since the fi rst half of the 2010s, but its use is treated with the lack of uniqueness by different social strata and political movements. …”
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Adjustment of angle error and tolerance allocation methods for RV reducers by ZHANG Bowen, ZHOU Jianxing, CUI Quanwei, LIN Kaihong, ZHOU Yadong, XU Wenqiang

“…ObjectiveAiming at the problems that angular errors in key load-bearing components such as crankshafts, cycloidal gears, and pin gear shells during processing and manufacturing lead to the reduction of transmission accuracy and stability of rotary vector (RV) reducers, an angular error adjustment method and a tolerance allocation method for RV reducers based on state space models were proposed.MethodsFirstly, taking the BX40E reducer as the research object, the error transmission chain of the reducer was constructed to illustrate the error transmission path of the RV reducer. …”
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Research Progress in the Screening of Antimicrobial Substances Based on Machine Learning by HOU Jiangxia, JIANG Jinhui, WANG Chenxin, WANG Lan, SHI Liu, WU Wenjin, GUO Xiaojia, CHEN Sheng, CHEN Lang, CAO Feng, SUN Li, ZHOU Zhi

“…This paper reviews commonly used machine learning models, such as random forests, support vector machines, and deep learning, in antimicrobial activity screening. …”
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Physics‐Informed Convolutional Decoder (PICD): A Novel Approach for Direct Inversion of Heterogeneous Subsurface Flow by Nanzhe Wang, Xiang‐Zhao Kong, Dongxiao Zhang

“…During the training process, the stochastic vector in KLE and the parameters of the convolutional decoder are adjusted simultaneously to minimize the data‐mismatch and the physical violation. …”
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Microevolutionary shifts in insect populations of Chornobyl exclusion zone and their potential consequences for agrocenoses of adjacent areas by V. A. Gaychenko, V. M. Chayka, O. G. Buntova, O. Yu. Krainiuk

“…For these groupings there are different vectors of selection: in the first case – natural, in the second – artificial under the influence of anthropogenic factors. …”
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Intelligent Recognition Technology for the Segmentation of Traffic Indication Images Concerning Different Pavement Materials by Juanhong Xie, Guojian Shi, Weizhi Zhu

“…In this article, the support traffic indication vector recognition (STIVR) method is proposed to classify the best signal detection to avoid traffic congestion and accidents. …”
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Analysis and Simulation of Overmodulation Modes of a Three-Inverter Block of the Photovoltaic Installation by Oleschuk V.

“…The purpose of this work is to modernize the control scheme of a transformer-based photovoltaic system with three inverters controlled by the modified algorithms of synchronous space-vector PWM in order to ensure linear regulation of the system in the overmodulation zone of the inverter block in the process of forming a symmetrical and synchronized (with the operating frequency of the system) voltage on the inverter-side windings of a power transformer. …”
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The role of education and science in the digital transformation of society by E. D. Butenko

“…Presentation of the author’s study of analogies in the development of large-scale government projects. In the process of writing the article, economic, statistical, logical and other methods of studying, processing and summarizing information were used due to specific goals and objectives. …”
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An Iterative Two-Step Method using Thresholding and SVM to Segment Bones from Knee Magnetic Resonance Images by Alireza Norouzi, Narges Habibi, Zahra Nourbakhsh, Mohd Shafry Mohd Rahim

“…The post-processing step utilized a Canny edge filter and image opening to eliminate the undesired area and to more accurately extract the bone. …”
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Development of hybrid computational model for simulation of heat transfer and temperature prediction in chemical reactors by Kamal Y. Thajudeen, Mohammed Muqtader Ahmed, Saad Ali Alshehri

“…The model is hybrid by combining heat transfer and machine learning in simulation of the process. The simulated process is a tubular chemical reactor for synthesis of a target compound. …”
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Commodity Price Recognition and Simulation of Image Recognition Technology Based on the Nonlinear Dimensionality Reduction Method by Yongbin Liu, Jingjie Wang, Wei Bai

“…Although some traditional algorithms have achieved some results in the process of dimensionality reduction, they also expose their respective defects. …”
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