THE SYMBIOTIC RELATIONSHIP BETWEEN SOCIAL AND ECONOMIC AREAS by V. Yu. Murai

“…The solution of social and economic problems of society requires active participation of business entities in the process. …”
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Conceptional Proposal for Low-floor Light Rail Vehicle Brake System by HAN Long, YU Dalian, LIU Shaoqing

“…Status and brake system characteristic of low-floor light rail vehicle were researched. According to the problems of large braking deceleration, high reliability, small space and so on, a brake system was proposed, which had the features of mature and reliable, small space and light weight. …”
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CREATION OF THE INNOVATIVE ECOSYSTEM AND LIFE QUALITY IMPROVEMENT IN THE REGION by A. Nikonorova

“…The problems of creation of an innovative ecosystem and its impact on the quality of population`s life in the region have considered. …”
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ASSESSMENT OF THE QUALITY OF MANAGEMENT OF REGIONAL FINANCES ON THE EXAMPLE OF STAVROPOL REGION by I. Alimova, D. Telichko

“…Category «quality» is a set of properties, features of an object, which determines their ability to meet the needs of users, to meet its purpose and requirements. …”
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Deep Hashing Based Fusing Index Method for Large-Scale Image Retrieval by Lijuan Duan, Chongyang Zhao, Jun Miao, Yuanhua Qiao, Xing Su

“…Hashing has been widely deployed to perform the Approximate Nearest Neighbor (ANN) search for the large-scale image retrieval to solve the problem of storage and retrieval efficiency. Recently, deep hashing methods have been proposed to perform the simultaneous feature learning and the hash code learning with deep neural networks. …”
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Research on Target Detection Algorithm for Solder Joint Defects Based on the Improved YOLOv8 by Chengkai Zhang, Xiaocui Feng, Pujun Mao, Fuyan Lv

“…Aiming at the problem of low accuracy in solder joint defect detection caused by the complex background and difficult to extract defect features of circuit boards using through-hole technology (THT), an improved YOLOv8 solder joint defect target detection algorithm was proposed. …”
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Zero-shot intelligent fault diagnosis via semantic fusion embedding by Honghua Xu, Zijian Hu, Ziqiang Xu, Qilong Qian

“…Aiming to solve this problem, this paper proposes a novel deep fault semantic fusion embedding model (DFSFEM) to realize zero-shot intelligent fault diagnosis. …”
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An Effective Soft-Sensor Method Based on Belief-Rule-Base and Differential Evolution for Tipping Paper Permeability Measurement by Rong Hu, Qinli Zhang, Bin Qian, Leilei Chang, Zhijie Zhou

“…The current paper presents a soft-sensor method based on belief-rule-base (BRB) system for solving the problem of tipping paper permeability measurement in the tobacco industry. …”
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Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50 by Eiman Wahab, Wajeeha Shafique, Habiba Amir, Sameena Javed, Muhammad Marouf

“…Further we have conducted feature extraction and pre-processing on our self-created dataset. …”
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Multi-Dimensional and Multi-Scale Physical Dehazing Network for Remote Sensing Images by Hao Zhou, Le Wang, Qiao Li, Xin Guan, Tao Tao

“…Haze obscures remote sensing images, making it difficult to extract valuable information. To address this problem, we propose a fine detail extraction network that aims to restore image details and improve image quality. …”
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CBDAC: Context-Based Dynamic Access Control Model Using Intuitive 5W1H for Ubiquitous Sensor Network by Jiseong Son, Jeong-Dong Kim, Hong-Seok Na, Doo-Kwon Baik

“…In particular, dynamic access control is a central problem where context always changes because of volatile ubiquitous sensors. …”
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A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. by Aaditya V Rangan, Caroline C McGrouther, John Kelsoe, Nicholas Schork, Eli Stahl, Qian Zhu, Arjun Krishnan, Vicky Yao, Olga Troyanskaya, Seda Bilaloglu, Preeti Raghavan, Sarah Bergen, Anders Jureus, Mikael Landen, Bipolar Disorders Working Group of the Psychiatric Genomics Consortium

“…We demonstrate these practical features with two examples; the first drawn from gene-expression analysis and the second drawn from a much larger genome-wide-association-study (GWAS).…”
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A one-dimensional spot welding model by K. T. Andrews, L. Guessous, S. Nassar, S. V. Putta, M. Shillor

“…The model consists of the Stefan problem, in enthalpy form, coupled with the equation of charge conservation for the electrical potential. …”
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Analysis of the motion of a nanosatellite with an uninsulated conductive tether by T. A. Bystranova, Yu. M. Zabolotnov

“…The task is related to the urgent problem of removing exhausted nanosatellites or small spacecraft from space without using jet engines. …”
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Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning by Johannes Pauli, Maximilian Hoffmann, Ralph Bergmann

“…Previous work tackles this problem by using Graph Neural Networks (GNNs) to learn pairwise graph similarities. …”
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Rolling Bearing Fault Diagnosis Based on Component Screening Vector Local Characteristic-Scale Decomposition by Tengfei Guan, Shijun Liu, Wenbo Xu, Zhisheng Li, Hongtao Huang, Qi Wang

“…The effectiveness of the proposed method is verified by simulated signals and experimental signals of a bearing, which provides a method for bearing feature extraction and fault diagnosis.…”
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A study on the traceable attribute-based signature scheme provided with anonymous credentials by Yong Woon Hwang, Taehoon Kim, Daehee Seo, Im-Yeong Lee

“…The signer's identity can be verified through tracing in case of a problem.…”
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Probabilistic ranking of plant cultivars: stability explains differences from mean rank by Shayan Tohidi, Sigurdur Olafsson

“…We then apply a feature selection method to identify the best predictors, that is, the stability measures that are most predictive of the differences in the two orders. …”
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Multiclass Incremental Learning for Fault Diagnosis in Induction Motors Using Fine-Tuning with a Memory of Exemplars and Nearest Centroid Classifier by Magdiel Jiménez-Guarneros, Jonas Grande-Barreto, Jose de Jesus Rangel-Magdaleno

“…The presented framework tackles the forgetting problem by storing a representative exemplar set from past data (known faults) in memory. …”
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Automatic Mushroom Species Classification Model for Foodborne Disease Prevention Based on Vision Transformer by Boyuan Wang

“…Mushroom poisoning is one of the most serious food safety issues worldwide. Motivated by this problem, this study uses an open-source mushroom dataset and employs several data augmentation approaches to decrease the probability of model overfitting. …”
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