Research on ammunition support task classification based on PPSVM by Li Yuan, Wang Mu, Gu Minzhi, Tang Shoujiang

“…In order to solve that problems of few ammunition support personnel, low support efficiency and repeated statistics, the classification model of emergency ammunition material support task is studied, the application of PPSVM in the classification of emergency ammunition material support task is analyzed, the probability output model of multi- classification support vector machine is established, and then the classification process is completed by selecting the class number with the largest posterior probability as the class output of test samples The experimental results show that the method can solve the classification problem of emergency ammunition material support task.…”
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正交面齿轮齿面偏差的坐标测量 by 王延忠, 王庆颖, 吴灿辉, 姜中立, 吕庆军, 冯美君

“…On the foundation of principle and method of face gear machining, the relative position between tool and gear was analyzed and process coordinates were established. According to the differential geometry and meshing theory, the representation of theoretical tooth surface was established. …”
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Cognitive radio auto-adaptive sensing algorithm based on POMDP by Rui-chen XU, Ting JIANG

“…In order to design an appropriate spectrum sensing mechanism in millisecond spectrum hole environment,the optimal data transmission time of secondary users was derived to maximize the data throughput.Furthermore,in order to exploit the millisecond spectrum holes,an auto-adaptive spectrum sensing algorithm based on POMDP (partially observ-able Markov decision process) was proposed.This algorithm executes spectrum sensing or data transmission action in the current decision epoch based on the belief vector and the observation result in the last decision epoch.Simulation results show that the proposed algorithm can constrain the collision probability between primary users and secondary users,and improve systemic spectrum utilization at the same time.…”
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Social network information diffusion model based on user’s influence and interesting by Rui WANG, Yong LIU, Jing-hua ZHU, Ping XUAN, Jin-bao LI

“…A new non-topological information diffusion model of social network was proposed,called non-topological influence-interest diffusion model (NT-II).Representation learning was exploited to construct two hidden spaces for NT-II，called the user-influence space and the user-interest space,each user and each propagation item was mapped into a vector in space.The model predicted the probability of a user receiving a propagated item,considering not only the degree of influence from other users,but also the user's preference for propagated item.The experimental results show that the model can simulate the propagation process and predict the propagation results more accurately.…”
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BALANCE OF PROGRESS AND REGRESS IN THE DEVELOPMENT OF POST-INDUSTRIAL SOCIETY by A. A. Kumpen, M. N. Rosenko

“…Modern social realities demonstrate continuous interrelation of the progressive development with a regressive vector that defines changes of public relations. This difficult multi-aspect historical process covers all spheres of post-industrial society, including its structural organization, level of stability of social system, character of internal and external contradictions.…”
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INSTITUTIONAL TRAPS OF DIGITAL ECONOMY by Inessa Penkova

“…The article aims at identifying the core institutional traps arising in the process of forming a digital economy. Within the research tasks were set and resolved regarding the concept of ((institutional trap» in relation to the digital economy, identifying the main institutional traps at the current stage of developing information and economic relations and identifying hypothetical ways to overcome them. …”
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Algorithm for Identification Electromagnetic Parameters of an Induction Motor When Running on a Three-Phase Power Plant by D. S. Odnolko

“…The flexible structure of the algorithm allows it to be used for preliminary identification of an induction motor, and in the process operative work induction motor in the frequency-controlled electric drive with vector control.…”
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Context-aware Models for Twitter Sentiment Analysis by Giuseppe Castellucci, Danilo Croce, Andrea Vanzo, Roberto Basili

“…A Markovian formulation of the Support Vector Machine discriminative model has been here adopted to assign the sentiment polarity to entire sequences. …”
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Enhancing recombinant antibody yield in Chinese hamster ovary cells by Chee-Hing Yang, Hui-Chun Li, Shih-Yen Lo

“…This review succinctly outlines these methodologies when also addressing challenges encountered in the production process, such as issues with aggregation and fucosylation.…”
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APPLICATION OF ESG-FACTORS IN INVESTMENT CONSTRUCTION PROJECTS by T. Yu. Shemyakina

“…The article considers the concept of responsible investment, the practice of applying ESG factors (ESG – Environmental, Social and Governance) in the process of making strategic decisions. The paper presents the trend of ESG investment market development at the international level. …”
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Models, systems, networks in economics, engineering, nature and society by A.A. Sapogov

“…As part of the work, multi-vector quality characteristics were established that reflect the state of the process of accepting a service request for processing, presenting them in the form of vectors of values with criterion indicators. …”

Methodology of a spatial approach in library science: prevalence and specificity of applying by T. F. Berestova, A. V. Mikhailova

“…This interaction provides course of integrative processes between subjects. The library science has already studied some form of interaction, identified a number of areas of integration processes, which are involved and initiated by the library. …”
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Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data by Sencer Melih Deniz, Ahmet Ademoglu, Adil Deniz Duru, Tamer Demiralp

“…<b>Background/Objectives:</b> Emotion and cognition, two essential components of human mental processes, have traditionally been studied independently. …”
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Data-constrained Magnetohydrodynamic Simulation of a Filament Eruption in the Decaying Active Region 13079 on a Global Scale by Yihua Li, Yang Guo, Jinhan Guo, M. D. Ding, Chun Xia, Rony Keppens

“…Scientifically, the model allows us to quantitatively describe and diagnose the entire process of filament eruption.…”
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SYNTHESIS OF THE TECHNICAL CONTROL SYSTEMS WITH VARIABLE STRUCTURE by I. V. Prokopyev

“…The conclusion is drawn that in case of preliminary processing of the available prior data it is possible to select reference functions correctly which reflect physical processes more precisely. …”
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Sentiment Analysis and Classification of User Reviews of the 'Access by KAI' Application Using Machine Learning Methods to Improve Service Quality by Hildegardis Kristina saka, Putri Taqwa Prasetyaningrum

“…This research applies sentiment analysis to understand user perceptions of the Access by KAI application, especially specific aspects such as speed, payment process, and user interface (UI/UX). User reviews are collected and processed through preprocessing stages, balancing using the SMOTE method, and classified using three machine learning algorithms, namely Support Vector Machine (SVM), Decision Tree, and Logistic Regression. …”
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Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

“…After preprocessing and processing data, data mining models including Classification & Regression Tree (CART), Chi-squared Automatic Interaction Detector (CHAID), Induction of Decision Trees (C5) and neural networks Radial Basis Function (RBF), Multi Layer Perceptron (MLP) and Support Vector Machine (SVM) were used in Spss Modeler Ver 20 software. …”
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Estimating the travel distance of channelized rock avalanches using genetic programming method by Zhang Yong, Wang Tao, Deng Mingfeng, Chen Ningsheng

“…Considering the advantages of machine learning in data processing, 49 channelized rock avalanche events and three machine learning methods (genetic programming (GP), support vector machine (SVM), and multilayer perceptron (MLP)) were selected for model optimization and establishment. …”
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Coupling antitoxins and blue/white screening with parAB/resolvase mutation as a strategy for Salmonella spp. plasmid curing by Dereje D. Gudeta, Shaohua Zhao, Nesreen Aljahdali, Steven L. Foley

“…However, plasmid curing strategies targeting these systems are often hindered by the host addiction system through a process known as post-segregation killing. Here, we developed vector tools that can mutate the above systems while replenishing short-lived antitoxins. …”
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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…A 2D raster data representing building volumes of each grids are derived from 3D vector-format urban data for use in machine learning applications. …”
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