PROBABILISTIC MODELING IN STUDIES OF THE ACCURACY THE MANUFACTURE OF ENGINEERING PRODUCTS by E. Z. Batmanov, R. V. Guseynov

“…It is noted that the experimental study is very important, as allows to receive multiple implementations, which can be seen on the character of changes of primary errors in particular cases. The features of the use of probabilistic modeling in solving problems of the nonlinear theory of accuracy.…”
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Comunidade aprendente: a escola como locus de formação e desenvolvimento do professor by Ana Maria Vellenich, Adriano Marcius Ferreira, Nilsen Aparecida Vieira Marcondes, Maria Aparecida Campos Diniz de Castro

“…However, in Brazil, for many years, school education has been facing different problems directly affects its quality. In this direction, this critical review of the literature proposes a ref lection on the educational institution as a system of relations, with obvious interactive features. …”
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The structure of the ensuring of the functioning of Special Olympics’ program by A.V. Perederiy

“…All levels of programs functioning of the Special Olympics are interrelated and interdependent, equally important to address their various problems.…”
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ROLLING BEARING FAULT DIAGNOSIS METHOD BASED ON CONVOLUTIONAL DEEP FOREST

“…Aiming at the vibration signal of rolling bearing with problems of nonlinear,small sample size and traditional machine learning based diagnosis algorithm required expert experience,a convolutional deep forest(CDF)based rolling bearing fault diagnosis algorithm was proposed.Firstly,the one-dimensional vibration signal was preprocessed through normalization and transformation into image.Then the convolution neural network was exploited to train the image to complete the end-to-end feature extraction,and the cascade forest was used to analyze and classify the features.Finally,the effectiveness of CDF was verified on the bearing data set.The experimental results show that CDF can achieve high accuracy for small or big sample data under four loads.In addition,the accuracy of convolution neural network and CDF based on two-dimensional image are higher than one-dimensional,which proves the effectiveness of data preprocessing operation based on signal to image.…”
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Discrete PID-Type Iterative Learning Control for Mobile Robot by Hongbin Wang, Jian Dong, Yueling Wang

“…Through studying tracking problems of the wheeled mobile robot, this paper proposed a discrete iterative learning control approach based on PID with strong adaptability, fast convergence, and small error. …”
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Node Classification on The Citation Network Using Graph Neural Network by Irani Hoeronis, Bambang Riyanto Trilaksono

“…Research on Graph Neural Networks has influenced various current real-world problems. The graph-based approach is considered capable of effectively representing the actual state of surrounding data by utilizing nodes, edges, and features. …”
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Stylometry and Automatic Attribution of Medieval Liturgical Monodies by Francesco Unguendoli, Giampaolo Cristadoro, Marco Beghelli

“…The results presented show that a quantitative approach is well suited to support and accompany the investigation of refined problems in musicology.…”
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The Impact of Knowledge on Emergence of New Organizational Form by Shenyu Zha

“…Proceeding from characteristics given to knowledge in the article the author analyzes different understanding by overseas scientists of organization based on knowledge connotation and shows general features of such organizations.…”
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Wavelet Operational Matrices and Lagrange Interpolation Differential Quadrature-Based Numerical Algorithms for Simulation of Nanofluid in Porous Channel by Aisha M. Alqahtani, Ram Jiwari

“…The proposed techniques are easy to implement for fluid and heat transfer (FHT) problems.…”
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Classification and Resolution of Non-Sentential Utterances in Dialogue by Paolo Dragone, Pierre Lison

“…This article addresses the problems of classification and resolution of non-sentential utterances (NSUs) in dialogue. …”
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Personnel Policy Court of Justice of the Kazan during the First World War (1914-1917) by Rail Rashitovich Shaydullin

“…The article discusses the features of the personnel policy of the Kazan Trial Chamber during the First World War. …”
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Approximate Analytical Solutions for Mathematical Model of Tumour Invasion and Metastasis Using Modified Adomian Decomposition and Homotopy Perturbation Methods by Norhasimah Mahiddin, S. A. Hashim Ali

“…It shows that HPM does not involve the Adomian polynomials when dealing with nonlinear problems.…”
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THE ROLE OF STRATEGIC AUDIT IN BUSINESS by EKATERINA Trigub

“…It also focuses on the features and objectives of the strategic audit, specifically emphasizing its importance for modern business. …”
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SOCIO-CULTURAL AND ECONOMIC ASPETS OF DESIGNING TRADITIONAL GAMES by Elena A. Gureeva, Alexey V. Kylasov

“…The article for the first time discusses specific features of designing traditional games within the frames of cooperation between bodies of culture and sports. …”
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Meningococcal Carriage: Epidemiology, Causative Agent, Inducing of Immune Protection by N. N. Kostyukova, V. A. Bekhalo

“…A review of the actual problems concerning the meningococcal carriage is presented. …”
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OVERSEAS EXPERIENCE OF FORMING INCOMES OF LOCAL BUDGETS by Anna V. Tretyakova

“…The article through comparative analysis of budget figures of federal and unitary states identifies key features of forming incomes on the municipal level. …”
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Smart factory solutions based on cellular industrial Internet of things by Shulei GONG, Kun LI, En TONG, Hongde GUO, Yi ZHOU, Ye WANG, Fei DING

“…So far,the overall informatization level of manufacturing industry has been uneven,and there are many problems such as low intelligence and poor connectivity.First of all,with the features like low power consumption of the Internet of things,the sensor devices can be deployed flexibly to realize real-time collection and transmission of production data.Then the manufacturing execution system based on the cellular industrial Internet of things had been built,and realized the closed-loop processing of human,machine,material,method and surrounding.The industrial big data of the whole production process was modeled,analyzed and processed.The operation and maintenance cost was reduced,and the production efficiency and product quality were improved.Finally,the overall efficiency of the application was evaluated which showed that the factory capacity was improved effectively.…”
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Deep factorization machine model based on attention capsule by Yiran GU, Zhupeng YAO, Haigen YANG

“…Aiming at the problems of single feature combination of recommendation model, resolution of a large amount of valuable feature information, and over-fitting in deep learning, a new attentional scoring mechanism called attention capsule was designed, and a deep factorization machine model based on attention capsule was proposed.Users’ historical clicking and candidate items were processed through weight calculation based on the DeepFM model, reducing the impact of irrelevant features on the model, and the differential impact of different historical behaviors on users’ interests was fully explored.The adaptive regularization formulation was added to the training, which effectively reduced over-fitting without affecting the training speed.The comparison test on two public data sets shows that the proposed model is significantly enhanced in loss function and GAUC compared to other models.…”
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Standard R 7.0.100-2018: from difficulties to opportunities by M. Yu. Neshcheret

“…Special attention is paidto the features of the bibliographic description that have not received sufficient coverage in the standard. …”
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Approach to clinically significant vascular anomalies in children by Raymond Reinaldo Tanugroho, Lynette Wei Yi Wee, Mark Jean Aan Koh, Jin Ho Chong

“…Vascular anomalies consist of tumours or malformations made up of abnormal growth or collections of blood vessels that can result in functional or cosmetic problems. While many vascular anomalies are present at birth, some do not appear until later in life, making diagnosis more challenging. …”
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