BUSINESS DEVELOPMENT BASED ON VECTOR WORK WITH BUYERS by O. Ivanova, L. Gvozdeva

“…The basis for the implementation of the formulated information base can be used when building an evaluation card of buyers - debtors for taking specific measures for business development.…”
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Measurement of evidence conflict based on correlation coefficient by Ya-fei SONG, Xiao-dan WANG, Lei LEI, Ai-jun XUE

“…In order to measure the conflict degree much better, criteria for correlation coefficient was defined based on analysis on the relation between evidence similarity and conflict. …”
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Effective cooperative scheme based on relay selection by YU Fei1, YANG Lv-xi1

“…Based on the capacity of multi-access channel,a relay selection algorithm was proposed.It was proposed that: relays were selected according to the eigenvalue decomposition of the equivalent relay-destination channel,and the beamforming vectors were designed in a distributed manner.It could be seen that joint processing and information trans-mission between multiple relays were avoided,which could reduce system complexity.Simulation results show that the system proposed can achieve better bit error rate（BER） comparing to the one with multi-relay parallel transmission.…”
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Multi‐subband fusion algorithm based on autoencoder by Yilin Jiang, Liting Zhang, Li Li, Jinxin Li, Yaozu Yang

“…Full‐band echo distance envelopes are used as training data for the full‐band autoencoder, to obtain the full‐band coding and the full‐band decoder. …”
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Research on Hexapod Movement Based on the Spatial Crankshaft by Tian Yucai, Deng Hailong, Feng Huizong, Li Rui

“…At last, real objects are produced for motion test. …”
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Network-Based Analysis of Software Change Propagation by Rongcun Wang, Rubing Huang, Binbin Qu

“…In this context, a novel network-based approach is proposed to comprehensively investigate change distributions and the correlation between centrality measures and the scope of change propagation. …”
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COMPETENCY-BASED STANDARDS OF EDUCATION: PROBLEMS OF IMPLEMENTATION by Ekaterina M. Kuznetsova

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Deep learning-based prediction of autoimmune diseases by Donghong Yang, Xin Peng, Senlin Zheng, Shenglan Peng

“…This study focuses on the prediction of several autoimmune diseases mediated by T cells, and proposes two models: one is the AutoY model based on convolutional neural networks, and the other is the LSTMY model, a bidirectional LSTM network model that integrates the attention mechanism. …”
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Power Consumption Based Android Malware Detection by Hongyu Yang, Ruiwen Tang

“…In order to solve the problem that Android platform’s sand-box mechanism prevents security protection software from accessing effective information to detect malware, this paper proposes a malicious software detection method based on power consumption. Firstly, the mobile battery consumption status information was obtained, and the Gaussian mixture model (GMM) was built by using Mel frequency cepstral coefficients (MFCC). …”
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Polypropylene Fibers as Reinforcements of Polyester-Based Composites by Gonzalo Martínez-Barrera, Enrique Vigueras Santiago, Susana Hernández López, Osman Gencel, Fernando Ureña-Nuñez

“…The PCs were submitted to 200, 250, and 300 kGy of radiation doses. The results show that the compressive properties depend on the combination of the polypropylene fiber concentration and the applied radiation dose. …”
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Electrochemical Impedance based Characterization of Membrane Separators by Ruchika Gupta, A. Sarkar, Akkihebbal K. Suresh, Bharatkumar Suthar

“…Pros and cons along with possible sources of error in measurement have been analyzed in each case. The impedance data for Zirfon® in both coin and T-cell setup was observed to be reproducible and internally consistent.…”
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Software protection technology based on code fragmentation by Jingcheng GUO, Hui SHU, Xiaobing XIONG, Fei KANG

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Relation extraction based on CNN and Bi-LSTM by Xiaobin ZHANG, Fucai CHEN, Ruiyang HUANG

“…Relation extraction aims to identify the entities in the Web text and extract the implicit relationships between entities in the text.Studies have shown that deep neural networks are feasible for relation extraction tasks and are superior to traditional methods.Most of the current relation extraction methods apply convolutional neural network (CNN) and long short-term memory neural network (LSTM) methods.However,CNN just considers the correlation between consecutive words and ignores the correlation between discontinuous words.On the other side,although LSTM takes correlation between long-distance words into account,the extraction features are not sufficiently extracted.In order to solve these problems,a relation extraction method that combining CNN and LSTM was proposed.three methods were used to carry out the experiments,and confirmed the effectiveness of these methods,which had some improvement in F1 score.…”
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Intensive Treatment of Cellulite Based on Physiopathological Principles by José Maria Pereira de Godoy, Mayra Yara Groggia, Lucilene Ferro Laks, Maria de Fátima Guerreiro de Godoy

“…The aim of this paper is to report a novel intensive therapy of gynoid lipodystrophy (cellulite) based on a new hypothesis. Methods. Were evaluated in 10 patients with ages ranging between 25 and 59 years (mean 35.6 years) grade IV cellulite identified by clinical evaluation. …”
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Fusion spectrum sensing algorithm based on eigenvalues by Wenjing ZHAO, He LI, Minglu JIN

“…Aiming at the problem of inefficient use of spectrum resources,a fusion spectrum sensing algorithm based on eigenvalues was proposed to effectively achieve dynamic spectrum sharing.The test statistics were constructed by employing the maximum eigenvalue,the trace and the geometric mean of all eigenvalues of the sample covariance matrix.The detection probability and false alarm probability of the proposed method were analyzed using the random matrix theory,and the analytical representation of the theoretical threshold was obtained.In addition,the parameter selection of the proposed algorithm was analyzed theoretically.Simulation results show that the proposed algorithm has better detection ability than the existing eigenvalue detection algorithm.…”
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Group-based siamese self-supervised learning by Zhongnian Li, Jiayu Wang, Qingcong Geng, Xinzheng Xu

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Wireless sensors and network-based detection of wildfires by Aziza Algarni

“…Big Data and Computing Visions…”
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Kinect-Based Exergames Tailored to Parkinson Patients by Ioannis Pachoulakis, Nikolaos Papadopoulos, Anastasia Analyti

“…In this work we present a Unity3D-based platform hosting two exergames tailored to PD patients with mild to moderate symptoms. …”
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Cellular Agriculture for Production of Cell-Based Seafood by Razieh Farzad

Subjects: “…Cell-based Seafood…”
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Faster model-based estimation of ancestry proportions by Santander, Cindy G., Refoyo Martinez, Alba, Meisner, Jonas

“…Ancestry estimation from genotype data in unrelated individuals has become an essential tool in population and medical genetics to understand demographic population histories and to model or correct for population structure. …”
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