ITERATIVE APPROACH TO INCREASING QUALITY OF PROGRAMS TESTING by B. M. Basok, V. N. Zakharov, S. L. Frenkel

“…The article deals with the problem of improving the quality of applied software (AS) testing. …”
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Title not available by Laskar, Clément, Dakkoune, Amine, Julcour, Carine, Bourgeois, Florent,  Biscans, Béatrice, Cassayre, Laurent

“…Through a comparative analysis of three different systems, this work develops a constructive discussion of the attrition-leaching process. …”
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Uncovering multiscale structure-property correlations via active learning in scanning tunneling microscopy by Ganesh Narasimha, Dejia Kong, Paras Regmi, Rongying Jin, Zheng Gai, Rama Vasudevan, Maxim Ziatdinov

“…The framework employs a sparse-sampling approach to efficiently construct the scalar-property space using minimal measurements, about 1–10% of the data required in standard hyperspectral methods. …”
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Mainlobe Jamming Suppression via Joint Polarization-Range-Doppler Processing by Liyuan Wang, Huafeng He, Zhen Li, Buma Xiao, Tao Zhou

“…Then, leveraging the obtained polarization information, we construct an optimal target polarization projection filter. …”
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Milling Tool Wear State Recognition by Vibration Signal Using a Stacked Generalization Ensemble Model by Yang Hui, Xuesong Mei, Gedong Jiang, Tao Tao, Changyu Pei, Ziwei Ma

“…However, the characteristics of milling process limit the accuracy and stability of tool condition monitoring (TCM) employing vibration signals. To improve this problem, this paper explores the use of vibration signals as sensing approach for recognizing tool wear states during milling operation by using the stacked generalization (SG) ensemble model. …”
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Dual-stream dynamic graph structure network for document-level relation extraction by Yu Zhong, Bo Shen

“…Existing graph-based methods face issues with information confusion and integration, limiting the reasoning capabilities of the model. To tackle this problem, a dual-stream dynamic graph structural network is proposed to model documents from various perspectives. …”
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Organizational principles of professionally-oriented cultural and leisure activities of student youth by Ekaterina Anatolyevna Guz

“…Existing approaches to the organization of cultural and leisure activities, as a means of personal and professional development of students, do not adequately disclose fundamental positions of constructing technological process of leisure activities of a professional orientation, which raises the problem of actualizing the process of studying the organizational foundations of student-oriented cultural and leisure activities of student youth. …”
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EnSLDe: an enhanced short-range and long-range dependent system for brain tumor classification by Wenna Chen, Junqiang Liu, Xinghua Tan, Jincan Zhang, Ganqin Du, Qizhi Fu, Hongwei Jiang

“…Firstly, the FExM is used to extract features and the multi-scale parallel subnetwork is constructed to fuse shallow and deep features. Then, the extracted features are enhanced by the FEnM. …”
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An Ultra-high-power Electric Arc Furnace Model for Low-Frequency Non-stationary Inter-harmonics Studies by Caihua LIN, Yi ZHANG, Zhenguo SHAO, Fang LIN, Daoshan HUANG, Yan LIN

“…Firstly, a static arc equation is established according to the law of conservation of energy, and a dynamic mathematical model is constructed for the ultra-high-power electric arc furnace using chaos theory. …”
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Casing running and solidifying bore by grouting in directional long borehole in coal mine by Yanjun FENG, Hong HOU, Jianchao REN, Maofu LIU, Liqiang SUN

“…To solve the current problem that it is difficult to realize the whole process of running the thick diameter casing and solidifying bore by grouting in the hydraulic fracturing of directional long boreholes in underground coal mines, we analyzed the technical difficulties of casing running and solidifying bore by grouting and the corresponding countermeasures were presented. …”
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Fast Low Rank and Sparse Decomposition Based on Greedy Bilateral Smoothing for Infrared Small Target Detection by Yan-Shan Zhang, Ze-Yin Li, Dong-Dong Pang, Lu-Yao Wang, Cheng-Jun Wu, Kang Duan, Jun-Ming Gao

“…Leveraging the support of the low-rank approximation theory, the small target detection is formulated as an optimization problem involving a low-rank matrix and a sparse matrix. …”
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Time-Series Analysis of Monitoring Data from Springs to Assess the Hydrodynamic Characteristics of a Coastal Discharge Zone: Example of Jurjevska Žrnovnica Springs in Croatia by Andrej Stroj, Jasmina Lukač Reberski, Louise D. Maurice, Ben P. Marchant

“…Using daily data, we constructed a linear mixed model of the spring levels. …”
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Low Contrast Oil Reservoir Evaluation Method Based on Continuous Conductive Channel Calculation by ZHANG Meiling, ZHAO Jiahui, XIONG Kui, WANG Shuangquan

“…The interpretation of low contrast oil layers with low resistivity has always been a difficult problem in well log evaluation. The situation where the resistivity of the high-yield oil layer in the Weizhou formation of the Fushan depression is comparable to that of the water layer seriously affects the calculation of reservoir reserves. …”
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Predict the degree of secondary structures of the encoding sequences in DNA storage by deep learning model by Wanmin Lin, Ling Chu, Xiangyu Yao, Zhihua Chen, Peng Xu, Wenbin Liu

“…In large-scale storage applications, how to effectively circumvent the negative effects is a critical problem. As secondary structures are formed by contiguous bases with reversal complementary relations and accompanied by the released free energy, we construct a BiLSTM-Transformer model with k-mer embedding to predict the free energy of sequences and further screen out these sequences with high values. …”
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Fault diagnosis of micro gas turbine using a hybrid scheme of thermodynamic analysis and artificial neural network by S.S. Talebi, A. Madadi, A.M. Tousi

“…A set of transformed variables is defined to reduce the dimension of the problem. An artificial neural network is used to recognize the pattern of noisy transformed variables and find the faulty component. …”
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Task reliability evaluation method for autonomous intelligent system based on multi-agent approach by Cheng YANG, Hongxiao LIU, Ying WANG, Jingli YANG

“…Objective Aiming at the problem that the task reliability of autonomous intelligent systems is difficult to evaluate accurately due to such characteristics as the decoupling of components, changing systems, and complex fault propagation laws, this paper proposes a multi-agent-based task reliability evaluation method for autonomous intelligent systems. …”
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Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model by Junxi Zhang, Shiru Qu, Yang Bi, Lijing Ma

“…To effectively address the spatial–temporal feature mining problem in short-term traffic flow prediction for complex road networks, a new method that combined the Pearson correlation coefficient (PCC) and improved genetic algorithm to optimize the long short-term memory model (IGA-LSTM) was constructed. …”
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Enhancing Adversarial Transferability With Intermediate Layer Feature Attack on Synthetic Aperture Radar Images by Xuanshen Wan, Wei Liu, Chaoyang Niu, Wanjie Lu, Yuanli Li

“…A lightweight generator, TinyResNet, is introduced to quickly construct adversarial examples through a one-step mapping process. …”
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EVI‐SAM: Robust, Real‐Time, Tightly‐Coupled Event–Visual–Inertial State Estimation and 3D Dense Mapping by Weipeng Guan, Peiyu Chen, Huibin Zhao, Yu Wang, Peng Lu

“…Herein, event–visual–inertial state estimation and 3D dense mapping (EVI‐SAM) are introduced to tackle the problem of pose tracking and 3D dense reconstruction using the monocular event camera. …”
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Robust dynamic event-triggered sliding mode control for lateral dynamics of intelligent electric vehicle by Zhi Liu, Xing Chu, Suqin Mao, Pengfei Ding, Shouhu Cheng, Jilin Lei, Shaowen Yao

“…Abstract This paper proposes a dynamic event triggering mechanism whose triggering characteristics can be designed for a robust sliding mode controller to solve the lateral motion control problem of intelligent electric vehicle in the presence of bounded matched disturbances. …”
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