The Tragi-Comic Lives of Theory: Values of a Simmelian Existence by Thomas Kemple

“…An overlooked and unique feature of his early works include humorous vignettes and free-verse poems in pseudonymous pieces published in the avant-garde journal Jugend. …”
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Doppler Stretch and Delay Statistical Performance Comparison for Wideband and Narrowband Signal Model by I. V. Gogolev

“…Narrowband approximation of Doppler effect by a frequency shift is inappropriate for some problems of radiolocation, hydro acoustics or passive location. …”
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Psychological suspense in the plot of Mcmahon's The Children on the Hill by Marsha Aqillah Putri Syuhra, Sufi Ikrima Sa’adah

“…This research aims to elaborate on the feature of psychological suspense in Jennifer McMahon’s work, The Children on the Hill. …”
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Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing by Yiyang HU, Lina QI

“…Massive multiple-input multiple-output (MIMO) is a solution for efficiently providing connection services for a variety of machine equipment in the Internet of things (IoT), and efficient connection services require accurate channel estimation.Aimed at the problems of high pilot overhead and poor performance of normalized mean square error (NMSE) estimation in downlink channel estimation of massive MIMO systems, based on the compressed sensing (CS) theory, the common sparsity of the channel space domain was combined while using the feature of lower sparsity of adjacent time slot differential channel impulse response (CIR), which leaded to a significant reduction in pilot overhead.In the reconstruction algorithm, a two-stage differential estimation algorithm, which divided the channel estimation in consecutive time slots with time correlation into two stages, was proposed and the idea of adaptive compressed sensing was combined to achieve fast and accurate CIR estimate.The simulation results show that the proposed two-stage differential channel estimation algorithm not only has a significant improvement in the estimated NMSE performance and data transmission rate compared to the existing CS-based multiple measurement vector (MMV) algorithm, but also show a certain reduction in runtime complexity.…”
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ELECTRICITY QUALITY INDICATION IMPROVING ALGORITHM IN INDUSTRIAL ENTERPRISES by R. K. Gereykhanov

“…Aim.The questions of electrical power quality increase at the enterprises are considered at this article; the analysis of methods and basic algorithm analyzer parameters are carried out based on the algorithm and hardware structure of the system to solve the problems related to the compensation of the reactive power at the enterprises.Methods. …”
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Localised dystopia in Croatian and Serbian cinema by Nikica Gilić

“…Localisation to a less technologically-oriented society, such as post-yugoslav Croatia and Serbia, are a very good example, since in such films as The Show Must Go On (by Nevio Marasović) and Technotise – Edit & I (by Aleksa Gajić and Nebojša Andrić) allegorical science fiction deals directly with local problems and narrations, such as Croatia’s obsession with modernisation and Western-European identity (in Marasović’s film) and Serbia’s traumatic relation with Slobodan Milošević’s regime and national pride (in Gajić’s and Andrić’s animated feature film). …”
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Theoretical and methodological approaches to the study of bases of formation of social activity of youth by E. V. Domashova, E. V. Blagovskaya, T. A. Gonohova

“…The paper notes great attention to young people, especially to the problems of young people, because youth is the most active age group, that can realize itself in all spheres of life: cultural, social, political etc. …”
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The Choice of work for Outsourcing: Assessment Tools by D. A. Zhdanov

“…The more extensive usage of outsourcing technology poses the challenge for enterprise management to identify possible benefits and problems of such cooperation. For this reason, the purpose of this study is to establish a procedure to determine the operations most suitable for outsourcing. …”
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System of Mode Variables of Energy Circuits by Andriy Muzychak

“…Modern energy systems feature diversity of elements and combination of processes and phenomena of various physical natures. …”
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Correction: Aemila Scauri Aurelia: A Territory Through a Road by Andrea Piaggio

“…Its landscape is predominantly mountainous, a feature that has always influenced the inhabitants, settlements, and roads. …”
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Global and regional foundations of modern migration processes by Z. Yu. Tuguz, S. A. Kirzhinova, M. S. Nakhusheva

“…Migration is one of the most important problems of modern society and is considered not only as a simple mechanical movement of people, but as a complex social process that affects many aspects of public life. …”
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Construction and Application of Media Corpus Based on Big Data by Bochun Yin, Lei Fu

“…Aiming at the problems of poor data quality and low application rate in the construction of existing media corpus, this paper proposes the construction and application research of media corpus based on big data. …”
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Malware detection approach based on improved SOINN by Bin ZHANG, Lixun LI, Shuqin DONG

“…To deal with the problems of dynamic update of detection model and high computation costs in malware detection model based on batch learning,a novel malware detection approach is proposed by combing SOINN and supervised classifiers,to reduce computation costs and enable the detection model to update dynamically with the assistance of SOINN′s incremental learning characteristic.Firstly,the improved SOINN was given.According to the whole alignment algorithm,search the adjusted weights of neurons under all input sequences in the learning cycle and then calculate the average value of all adjusted weights as the final result,to avoid SOINN′s stability under different input sequences and representativeness of original data,therefore improve malware detection accuracy.Then a data preprocessing algorithm was proposed based on nonnegative matrix factor and Z-score normalization to transfer the malware behavior feature vector from high dimension and high order to low dimension and low order,to speed up and avoid overfitting and further improve detection accuracy.The results of experiments show that proposed approach supports dynamic updating of detection model and has a significantly higher accuracy of detecting unknown new samples and lower computation costs than tradition methods.…”
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Real-Time Emotion Recognition for Improving the Teaching–Learning Process: A Scoping Review by Cèlia Llurba, Ramon Palau

“…Nevertheless, the analysis identifies problems that might block the implementation of these practices in the classroom and in education; among the obstacles identified are the absence of privacy of the students and the support needs of the students. …”
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Incorporating Transformers and Attention Networks for Stock Movement Prediction by Yawei Li, Shuqi Lv, Xinghua Liu, Qiuyue Zhang

“…Therefore, to solve the above problems, we propose a transformer-based attention network framework that uses historical text and stock prices to capture the temporal dependence of financial data. …”
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Application of gesture recognition based on domain transfer learning and SimSiam network in education management by Xiaoxu He

“…Compared with the traditional displacement feature method, the average accuracy of the proposed method is increased by 4%, and it can effectively deal with the dynamic gesture recognition problem in the case of palm deflection.…”
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Distributed denial-of-service (DDOS) attack detection using supervised machine learning algorithms by S. Abiramasundari, V. Ramaswamy

“…Various Machine Learning (ML) algorithms and feature selection techniques have been used to detect DDoS attacks. …”
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Radar Tracking System Using Contextual Information on a Neural Network Architecture in Air Combat Maneuvering by Antonio Navidad Pineda, Luis Usero Aragonés, José Raúl Fernández del Castillo Díez, Miguel Ángel Patricio Guisado

“…Air surveillance radar tracking systems present a variety of known problems related to uncertainty and lack of accurately in radar measurements used as source in these systems. …”
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Research on Autonomous Obstacle Avoidance Algorithm for Complex Environment of Unmanned Aerial Vehicle Based on Multi-source Sensor Fusion by Fan Li

“…Autonomous obstacle avoidance for UAVs in complex environments is crucial, single sensors have limitations, and multi-source sensor fusion technology has received attention. Based on the above problems, this paper summarizes the research on autonomous obstacle avoidance algorithms for UAVs in complex environments based on multi- source sensor fusion in recent years. …”
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NEW METHOD FOR BEARING INTELLIGENT DIAGNOSIS BASED ON COMPRESSED SENSING AND MULTILAYER EXTREME LEARNING MACHINE by CHEN WanSheng, WANG Zhen, ZHAO HongJian, WANG FengTao

“…In the era of big data,bearing fault monitoring has the problem that it cannot realize the real-time processing of massive data processing and have the subjectivity about fault feature selection. …”
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