USING SIMULINK PACKAGE FOR TRANSIENT SUPPORT-PARAMETRIC SIMULATION IN GAS PIPELINE SECTION by Nikita V. Kudinov, Rudolf A. Neydorf, Lev А. Zhuravlev, Elena V. Teterevleva

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Phase Factor Optimization for QPSK Signals Generated from MZM Based on Optical Carrier Suppression by Jianjun Yu, Long Chen

Subjects: “…Photonic vector signal generation…”
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A Novel Spectral-Efficient Coherent Radio-Over-Fiber Link With Linear Digital-Phase Demodulation by Huixing Zhang, Aijun Wen, Wu Zhang, Weipeng Zhang, Weile Zhai, Zhaoyang Tu

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Multi‐task learning using GNet features and SVM classifier for signature identification by Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh

Subjects: “…support vector machines…”
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Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

“…The algorithm used for the labeling process is k-means, while Support Vector Machine (SVM) is used for the classification process. …”
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An estimation of efficiency of filtering algorithms of state vector of small-sized observed object with non-Markovian approximation of trajectory by B. A. Zaikin, A. F. Kotov

“…The article discusses the possibilities of estimating the states vectors of observation objects with the nonMarkovian approximation of the trajectories. …”
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COMPARISON OF SUPPORT VECTOR MACHINE BASED ON FASTTEXT WITHOUT AND WITH FIREFLY OPTIMIZATION PARAMETERS FOR DISASTER SENTIMENT ANALYSIS IN INDONESIA by Fadilah Amirul Adhel, Sri Astuti Thamrin, Siswanto Siswanto

“…Sentiment analysis is a process for analyzing opinions, sentiments, assessments, and emotions from someone's statements regarding a domain or is also a process for entering and processing data in the form of text. …”
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A method to include exclusive heavy vector-meson production data at small x in global parton analyses by C. A. Flett, A. D. Martin, M. G. Ryskin, T. Teubner

“…We further study the constraints from the corresponding $$\Upsilon $$ Υ production process. We finish by discussing the possible effects at next-to-next-to-leading order (NNLO) through incorporation of a K factor for the exclusive heavy vector-meson coefficient function at NLO.…”
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Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression by Lv Yingming, Yuan Wenping

“…In this paper, a vehicle-mounted vehicle exhaust gas detection device is designed and a sensor temperature and humidity compensation method based on Support Vector Regression (SVR), Sine Cosine Algorithm(SCA) and Particle Swarm Optimization (PSO) is proposed. …”
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Forecasting Air Passenger Traffic by Support Vector Machines with Ensemble Empirical Mode Decomposition and Slope-Based Method by Yukun Bao, Tao Xiong, Zhongyi Hu

“…With regard to the nonlinearity and irregularity along with implicit seasonality and trend in the context of air passenger traffic forecasting, this study proposes an ensemble empirical mode decomposition (EEMD) based support vector machines (SVMs) modeling framework incorporating a slope-based method to restrain the end effect issue occurring during the shifting process of EEMD, which is abbreviated as EEMD-Slope-SVMs. …”
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A Parallel Support Vector Machine algorithm to identify patterns of pollution in Smart Cities for Metropolitan Zone of Guadalajara by Martha Patricia Martínez Vargas, Elsa Estrada Guzmán, Roció Maciel Arellano

“…Currently, these data are captured by constant monitoring stations, generating a large volume of information representing a challenge for the classification process. This work proposes a model for the automatic execution of a classification algorithm using Support Vector Machine implementing libraries in python for parallel processing. …”
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Differential Protection of Main Transformer of Doubly-Fed Wind Farm Based on Current Synthesized Vector Trajectory Characteristics by Xupeng SONG, Xiaoyang YANG, Zhengzhen FAN

“…This paper proposes a novel time-domain protection scheme based on the characteristics of the current synthesis vector trajectory. Based on the intrinsic differences between internal faults and external faults of transformers, two current synthesis vectors are constructed accordingly, and corresponding protection schemes are designed according to the trajectory characteristics of each synthesis vector. …”
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Presenting the Development of the Beneish Model with Emphasis on Economic Features using Neural Network, Vector Machine, and Random Forest by Kiumars Pourgadimi, Jamal Bahri Sales, Saeed Jabbarzadeh Kangarloie, Akbar Zavar Rezaee

“…As the business process becomes more complex, financial statement distortion risk increases. …”
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User Analysis of Info BMKG Application in The Perspective of Human Computer Interaction Using Support Vector Machine Algorithm by Ilham Fannani, Enggar Novianto, Alfin Syarifuddin Syahab

“…The results of the sentiment analysis process of testing 3000 review data using the fold = 5 test value in the Support Vector Machine (SVM) method obtained an accuracy of 85.54 % which produces predictions on data testing, namely 1500 positive reviews and 1500 negative reviews 1500 reviews.…”
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Multiple Criteria Decision-Making Based on Vector Similarity Measures under the Framework of Dual Hesitant Fuzzy Sets by Juan Luis García Guirao, M. Sarwar Sindhu, Tabasam Rashid, Agha Kashif

“…Similarity measures have a great importance in the decision-making process. In order to identify the similarity between the options, many experts have established several types of similarity measures on the basis of vectors and distances. …”
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Lithium inventory estimation of battery using incremental capacity analysis, support vector machine, particle swarm optimisation by Xingbo Zhang, Kui Chen, Zhou Long, Yang Luo, Yang Li, Jiamin Zhu, Kai Liu, Guoqiang Gao, Guangning Wu

“…Lithium inventory is an important indicator for assessing the LIB ageing process. Incremental capacity (IC), particle swarm optimisation (PSO) and support vector machine (SVM) are proposed to estimate the LIBs lithium inventory. …”
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Performance Comparison of Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) in Verifying Material Orientation by Eldio Utama, Eko Rudiawan Jamzuri

“…This study compares the performance of Support Vector Machine (SVM) and k-Nearest Neighbors algorithms for verifying material orientation verification through automated optical inspection. …”
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An experience of scaling and intensifying the industrial production of the Gam-COVID-Vac vector adenovirus vaccine in the limiting conditions of the pandemic by A. N. Morozov, I. R. Yakhin, N. V. Stratonova, M. V. Kutskir, D. A. Poteryaev, R. A. Khamitov

“…Gamaleya developed an innovative vector vaccine, Gam-COVID-Vaс, for the prevention of coronavirus disease caused by the SARS-CoV-2 virus. …”
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A lyophilised formulation of chimpanzee adenovirus vector for long-term stability outside the deep-freeze cold chain by Frédéric Mathot, Edwige Lefebvre, Bernard G. Francq, Delphine Guillaume, Erwan Bourlès

“…Methods Vaccine stability was assessed up to five years at 5 °C using a lyophilised formulation of the chimpanzee-adenovirus vector ChAd155 encoding a respiratory syncytial virus (RSV) antigen. …”
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Research on the Liquor Yield Prediction Model Integrating Hybrid Kernel Support Vector Regression and Dung Beetle Optimizer by Qinwen Deng, Yibo Xu, Qiang Han, Suyi Zhang, Xianguo Tuo

“…To enhance the efficiency of liquor production and reduce subjective errors caused by manual operations, this study explores the relationship between production process parameters and yield to achieve accurate yield prediction. …”
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