Design of Enhanced License Plate Information Recognition Algorithm Based on Environment Perception by Zilu Wang, Limin Zheng, Gang Li

“…Aiming at the problem of difficulty in completely and accurately identifying number plate information in bad weather, this study proposes an algorithm based on environmental perception and the enhanced recognition of number plate information. …”
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Soft-sensor modeling of silicon content in hot metal based on sparse robust LS-SVR and multi-objective optimization by GUO Dong-wei, ZHOU Ping

“…To solve the problem that the parameter of silicon content ([Si]) in hot mental is difficult to be directly detected and obtained by manual analysis with large time delay, a method of sparse and robust least squares support vector regression (R-S-LS-SVR) was proposed to establish a dynamic model of[Si] with the help of the multi-objective genetic optimization of model parame-ters. …”
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Systematically constructing the likelihood for boosted $H\to gg$ decays by Andrew J. Larkoski

“…Though this decay mode of the Higgs is unlikely to be discovered at the LHC, we analytically demonstrate several features of the likelihood ratio for this problem through explicit analysis of signal and background matrix elements. …”
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Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture by Gauri Kalnoor, Vijayalaxmi Kadrolli

“…Different conventional leukocyte analysis approaches often face several problems like inaccuracies, demanding the need for sophisticated approaches to improve diagnostic precision. …”
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Robot Visual Tracking Model Based on Improved GOTURN-LD Algorithm by Lijuan Xu, Dalong Liu, Huanjian Ma

“…As the key performance of visual tracking, it still has the problems of low tracking accuracy and poor real-time performance. …”
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A low cost compact network TAP device with Raspberry Pi 4 by Murat Varol, Murat İskefiyeli

“…There is a necessarity to monitor the network to detect any kind of attacks or problems. Determining which device is the source of the problem and vulnerability is also a problem. …”
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Multi-factor person entity relation extraction model based on distant supervision by Yangchen HUANG, Yan JIA, Liang GAN, Jing XU, Jiuming HUANG, Zhonghe HE

“…Aiming at the problem that the basic assumption of distant supervision was too strong and easy to produce noise data,a model of the person entity relation extraction which could automatically filter the training data generated by distant supervision was proposed.For training data generation,the data produced by distant supervision would be filtered by multiple instance learning and the method of TF-IDF-based relation keyword detecting,which tried to make the training data has the manual annotation quality.Furthermore,the model combined lexical and syntactic features to extract the effective relation feature vector from two angles of words and semantics for classifier.The experiment results on large scale real-world datasets show that the proposed model outperforms other relation extraction methods which based on distant supervision.…”
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Optimal azimuth positioning algorithm for base station antenna based on Gaussian distribution by Songbai LIANG, Feng CHEN, Haiping SONG, Wensheng LI

“…In order to improve the accuracy and efficiency of the discovery of the antenna-feeder problem,an optimal direction angle solution based on Gaussian distribution was proposed to diagnose the antenna-feeder coverage problems of operators.First of all,the location direction information between each MR sampling point reported by the UE and the base station was calculated,and then the proportion of MR sampling points in each interval was calculated,Based on the Gaussian distribution feature,the angle range with the largest proportion of MR sampling points was the appropriate azimuth,which was based on the user hotspot distribution of the sector.Finally,the date of optimal azimuth was compared with the base station azimuth in the background antenna database to detect antenna feeder problems,such as cross feeder,improper antenna coverage direction and incorrect background antenna database,and so on.The field verification shows that,the cost,accuracy and efficiency of the antenna-feeder problems are obviously improved compared with the existing methods.…”
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An overview of Cuckoo Optimization Algorithm based Image Processing by Baydaa sulaiman

“…The main categories reviewed that used CS in the field of image processing are: image segmentation, image optimization, image noise removal, image classification, feature extraction in images, image clustering and edge detection. …”
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Surface Eddy Current Probes: Excitation Systems of the Optimal Electromagnetic Field (Review) by V. Ya. Halchenko, R. V. Trembovetskaya, V. V. Tychkov

“…Development of technical tools with improved metrological and operational characteristics is the actual problem of the eddy current testing. Ensuring the optimal distribution of the electromagnetic excitation field in the testing zone carries out confident detection of the defects and determination of their geometrical parameters by means of eddy current testing. …”
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A Deep Pedestrian Tracking SSD-Based Model in the Sudden Emergency or Violent Environment by Zhihong Li, Yang Dong, Yanjie Wen, Han Xu, Jiahao Wu

“…Multiobject tracking plays an important role in solving many problems for public security. Under crowded scenarios and emergency places, it is a challenging problem to predict and warn owing to the complexity of crowd intersection. …”
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Activity Analysis of the Economic Entity and Digital Culture by E. B. Gerasimova

“…Detection of the positive features and disadvantages of digitalisation of the economy. …”
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Development of methods for neutralizing «Zero-day» threats by A. I. Dubrovina, M. H. Alcordi

“…The actual problem of information systems security - the threat of «zero-day» is considered. …”
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Infrared image monitoring algorithm for converter valve equipment by Jiashui Dai, Fali Tan, Yi Jiang, Yunlong Liang, Kangquan Lin, Kai Tong

“…Traditional converter valve monitoring methods have problems of inefficiency and failure to detect potential faults in time, which may lead to equipment damage or system failure. …”
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Application of unified microprocessor relay protection units in electrical machine diagnostics by V. I. Polishchuk, M. V. Kritsky, D. M. Bannov, S. V. Malyshev

“…The authors conducted the research using two experimental units for asynchronous motor and synchronous generator, respectively. A distinctive feature of the proposed research stands is in solving the problems of digital processing and data analysis on the basis of the application of microprocessor relay protection unit BMRZ developed in Russia. …”
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ED-Stacking：A Construction Method of Few-shot Prediction Model for Beef Microbial Growth Based on Ensemble Learning by Hanqiang LI, Yi CHEN, Yufei GAO, Kun HOU, Liping SONG, Jing LI

“…Under the current technological conditions, microbial detection was complicated and time-consuming, which leaded to the problem of lagging detecting results and limited sample size. …”
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Limits of Solar Flare Forecasting Models and New Deep Learning Approach by G. Francisco, M. Berretti, S. Chierichini, R. Mugatwala, J. Fernandes, T. Barata, D. Del Moro

“…As a result, the model also operates independently of prior feature extraction and AR detection, thus offering promising operational utility with minimal external dependencies. …”
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Attack traffic allocation and load balancing mechanism for SDN by LI Man, ZHOU Huachun, XU Qi, DENG Shuangxing, ZOU Tao, ZHANG Ruyun

“…To tackle the problem of traditional traffic allocation methods in software-defined networks (SDN) potentially failing to effectively detect distributed denial of service (DDoS) attacks, a traffic allocation and load balancing mechanism for attack traffic was proposed. …”
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Hammering Test for Tile Wall Using Deep Learning by Atsushi Ito, Masafumi Koike, Masako Saito, Katsuhiko Hibino

“…It is difficult to meet the demand for inspections. To solve this problem, this paper proposes an AI-based hammering test system that analyzes and evaluates structural health by detecting abnormal sounds during inspections. …”
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An effective microscopic image augmentation approach by Wanying Li, Linhe Yang, Guobei Peng, Guangyao Pang, Zhenming Yu, Xiaoying Zhu

“…The experimental results show that the MIAA-FSL improves the identification accuracy by 24% on average compared with the Microscope Image Recognition + DDPM (MIR+DDPM) approach, especially in the identification of rare features, the accuracy is significantly improved from 45.5% to 87.0%, which effectively mitigates the problem of object detection with few samples.…”
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