A Novel Multiscale Deep Health Indicator with Bidirectional LSTM Network for Bearing Performance Degradation Trend Prognosis by Han Wang, Gang Tang, Youguang Zhou, Yujing Huang

“…In addition, a stacked autoencoder network is used for deep feature extraction of selected statistical features. …”
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A Novel Lightweight U-Shaped Network for Crack Detection at Pixel Level by Zhong Luo, Xinle Li, Yanfeng Zheng

“…Meanwhile, a coordinate-aware fusion module (CFM) is proposed, which fully fuses skip connection features and decoder features to enhance cross-channel interaction information. …”
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Influence of Geometry and Boundary Conditions in Area of Cohesion between Materials on the Reflection of an Ultrasonic Beam. Part 1. Theoretical research by A. R. Bayev, A. L. Mayorov, N. V. Levkovich, D. V. Shavlovskiy, M. V. Asadchaya

“…The improvement of efficiency, reliability and productivity of ultrasonic testing of objects with cohesion between materials connected by welding, soldering, gluing, etc. is 'an important problem of the modern production technologies. The purpose of the paper is to determine in 3D space the conditions for increasing the sensitivity and reliability of the flaw detection in the cohesion zone between materials when the form of defect interface can be different.In the first part of the theoretical study the features of the formation of the acoustic fields of ultrasonic waves scattered from solid's interface when spot of an acoustic beam crosses the boundary of the defective region in the shape of an ellipse or a long strip have been investigated. …”
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Faster Dynamic Graph CNN: Faster Deep Learning on 3D Point Cloud Data by Jinseok Hong, Keeyoung Kim, Hongchul Lee

“…However, it has been difficult to apply such data as input to a convolutional neural network (CNN) or recurrent neural network (RNN) because of their unstructured and unordered features. In this study, this problem was resolved by arranging point cloud data in a canonical space through a graph CNN. …”
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RIS-UNet: A Multi-Level Hierarchical Framework for Liver Tumor Segmentation in CT Images by Yuchai Wan, Lili Zhang, Murong Wang

“…Then, the second level extracts the inner-slice global and local features for enhancing feature representation. We propose the Res-Inception-SE Block, which combines residual connections, multi-scale Inception modules, and squeeze-excitation attention to capture comprehensive global and local features. …”
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Prediction on the Remaining Useful Life of Rolling Bearings Using Ensemble DLSTM by Miao Jiang, Yang Xiang

“…An ensemble deep, long-term, and short-term memory (EDLSTM) method is proposed to solve this problem. First, the feature of the forecast-bearing RUL was extracted including time-domain features, frequency-domain energy features, and Shannon entropy. …”
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State of Agriculture in Sverdlovsk Region during Implementation of Radical Socio-Economic Reforms (1985-2000) by V. N. Mamyachenkov

“…The purpose of the article was to identify the features of the crisis of the 1980s-1990s in the agricultural sector of the Sverdlovsk region. …”
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THE NATURA 2000 NETWORK IN SPAIN AND ITS LACK OF PROTECTION by Manuel Cabalar FUENTES, Miguel Pazos OTÓN, Francisco José Armas QUINTÁ, Xosé Carlos Macía ARCE

“… Protected Natural Areas are one of the most frequently used tools for preserving the main natural features of a territory. Over time their focus has evolved from a prevalence of basically aesthetic criteria (spectacular landscapes with picturesque features such as high mountains, thickly wooded forests or rugged coastlines) to a more global vision that includes the conservation of the diversity of habitats present in any given territory. …”
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CEEMDAN-MRAL Transformer Vibration Signal Fault Diagnosis Method Based on FBG by Hong Jiang, Zhichao Wang, Lina Cui, Yihan Zhao

“…The unique MRAL-Net is proposed to extract the spatial features of the signal and analyze the time series dependence of the features to improve the richness of the signal feature scale. …”
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AI-Based Classification Model for Low-Energy Buildings: Promoting Sustainable Economic Development of Smart Cities With Spherical Fuzzy Decision Algorithm by Lin Yang

“…This article evaluates intelligent AI-based models for low-energy buildings and economic development under some specific characteristics or key features. For this purpose, we modified the theory of criteria importance through intercriteria correlation (CRITIC) and combined compromise solution (COCOSO) methods to assess suitable optimal options for the multi-attribute group decision-making (MAGDM) problem. …”
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Research of migration processes in electronic social networks by A. A. Grebenyuk, A. A. Subbotin

“…The problem of the information obtained with their help lies in such limitations as accessibility (technical features of specific platforms), representativeness (insufficient development of statistical techniques for evaluation) and variability of user preferences. …”
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Heterogeneous Graph Neural-Network-Based Scheduling Optimization for Multi-Product and Variable-Batch Production in Flexible Job Shops by Yuxin Peng, Youlong Lyu, Jie Zhang, Ying Chu

“…In view of the Flexible Job-shop Scheduling Problem (FJSP) under multi-product and variable-batch production modes, this paper presents an intelligent scheduling approach based on a heterogeneity-enhanced graph neural network combined with deep reinforcement learning. …”
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Theoretical approaches to the definition of the concept of «tourism»: its essence and characteristics by N.P. Syroid

“…Therefore, we have made a comparative description of these concepts and given the features by which they differ, in particular, the entity of activity, the purpose and type of activity. …”
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Pilot Maneuvering Performance Analysis and Evaluation with Deep Learning by Shiwen Zhang, Zhimei Huo, Yanjin Sun, Fujuan Li, Bo Jia

“…Besides, when it is used on a binary classification problem, the result improves to 78.18%. Finally, the indicators were grouped into 5 common factors by factor analysis and fed into 1-D CNN in different combinations. …”
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The unique properties of microorganisms that form a biofilm of the oral cavity by H. A. Loban, M. O. Faustova, M. M. Ananieva, Ya. O. Basarab

“…The biofilm mode of growth leads to the expression of gene sets which determine the features of metabolism and properties of microorganisms in biofilms. …”
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Optimal Graph Information Fused Graph Attention Network for Traffic Flow Forecasting by Xing Xu, Luchen Fei, Yun Zhao, Xiaoshu Lü

“…Specifically, we learn the actual connections between nodes and the hidden spatial relationships through the multigraph feature fusion structure. Next, we design a new graph attention network (GAT), which improves the problem of ignoring edge features in the graph structure in the traditional GAT model and considers their edge features when estimating the correlation of each neighboring node pair: the effect that the distance factor between neighboring nodes has on the spatial correlation. …”
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THE IMPACT OF COUPON PAYMENT FREQUENCY ON BOND DURATION by N. V. Popova

“…The frequency of coupon payments per year is not among factors that have the key impact on the investment features of bonds. Scientists have already mentioned the impact of this factor on bond duration. …”
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Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques by Kais Abdulmawjood, Walid G. Morsi

“…Although this phenomenon is temporary in nature, it is considered an intermittent fault, and it is essential for a protection system to differentiate it from other fault conditions to avoid unnecessary tripping. The main problem in identifying partial shading in a PV system is the difficulty of extracting its features under different shading conditions. …”
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PRECEDENCE IN MEDIA DISCOURSES: ON THE STUDY OF VERBAL AND NON-VERBAL PHENOMENA by T. V. Marchenko

“…The aim of the research is to analyze the peculiarities and features of the actualization of precedence in semiotically complicated texts of the present-day media space.The article provides a brief overview of the main research approaches to the interpretation of the properties of the media text, precedence and types of precedent phenomena. …”
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Phaseless Diagnosis and Pattern Correction of Faulty Antenna Arrays via Advanced Bayesian Compressive Sensing Approaches by Zi An Wang, Ping Li

“…Meanwhile, to address the detected faults effectively, a novel pattern correction method within an alternate projection framework is further developed to recover the pattern features with minimal corrections. This method features a modified forward projection rule to accelerate convergence and utilizes a BCS algorithm during backward projection to find sparse correction vectors. …”
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