Clinical and Epidemiological Manifestations of Ixodic Tick-Borne Borreliosis Foci in the Tomsk region by O. V. Voronkova, E. N. Ilyinskikh, A. A. Rudikov, T. N. Poltoratskaya, I. E. Esimova, L. V. Lukashova, M. R. Karpova

“…The study of the genotypic diversity of pathogenic borrelias in relation to the species diversity of vectors, the analysis of the clinical manifestations of different etiological variants of tick-borne borreliosis (mono- and mixed infections), as well as the development of an algorithm for differential diagnostic search and a model for predicting the outcomes of the infectious process in tick-borne borreliosis and mixed infections are priority directions of problem-oriented scientific research in Tomsk region.…”
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Intelligent Grinding System for Medium/Thick Plate Welding Seams in Construction Machinery Using 3D Laser Measurement and Deep Learning by Qifeng Liu, Rencheng Zheng, Pengchao Li, Chao Liu, Deyuan Mi, Jian Wang, Wenli Xie

“…Based on various weld seam detection algorithms, the selected model was MNet-based DeepLab-V3. …”
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Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms by Eike Petersen, Julia Sauer, Jan GraBhoff, Philipp Rostalski

“…However, surface EMG measurements of the diaphragm and intercostal muscles are substantially contaminated by cardiac activity due to the vicinity of the cardiac muscles. Many algorithmic solutions to this problem have been proposed, yet a conclusive performance comparison of the most promising candidates currently is missing. …”
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Digital security risk identification and model construction of smart city based on deep learning by Zhilei Zhao

“…In order to deal with these problems, this paper designs a flexible three-layer architecture framework, and introduces a new intrusion detection feature selection method that combines flock optimization (CSO) and genetic algorithm (GA) to reduce the complexity of feature selection and enhance the detection and processing power of security vulnerabilities through deep neural networks (DNN). …”
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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

“…By linearizing the nonlinear inverse problem through a phaseless mapping method and employing a multitask BCS (MT-BCS) algorithm, the solution accounts for statistical correlations between the real and imaginary parts of sparse unknowns, ensuring robust diagnoses from highly coherent near-field measurements. …”
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基于透视不变二值特征描述子的图像匹配算法 by Li-chuan GENG, Song-zhi SU, Shao-zi LI

“…Current local feature based image matching algorithms are usually less robust to image perspective transformation.Aiming to solve this problem，a new perspective invariant binary code (PIBC) based image matching algorithm is proposed.Firstly，FAST corners are detected on the pyramid images，those corners with non-maximum Harris corner response value and the edge points are further eliminated.And then，by simulating the perspective transformations of images taken from different viewpoints，a single FAST corner is described with binary descriptors under different viewpoint transformations，which makes the descriptor could describe the identical feature point on different perspective transform images.Experimental results show its robustness to image perspective transformation，while its complexity is similar with SURF.…”
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A Low-Complexity Approach for Improving the Accuracy of Sensor Networks by Angelo Coluccia

“…Remarkably, the resulting cooperative algorithm does not require prior knowledge of the (hyper)parameters and is able to provide a “denoised” version of the monitored field without losing accuracy in detecting extreme (less frequent) values, which can be very important for a number of applications. …”
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Obfuscation of combination circuits of digital devices from unauthorized access by L. A. Zolotorevich

“…Along with the problems that arise and are solved in the mode of favorable design, in the last decade there was a problem of protection and additional control of projects in order to detect unauthorized third-party interference in the project with different fundamental goals. …”
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RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification by Yutong Wang, Ziming Kou, Cong Han, Yuchen Qin

“…Coal gangue identification is the primary step in coal flow initial screening, which mainly faces problems such as low identification efficiency, complex algorithms, and high hardware requirements. …”
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Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects by A. Presno Vélez, M. Z. Fernández Muñiz, J. L. Fernández Martínez

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Research on navigation method in closed-canopy orchard based on 3D LiDAR by Zhigang ZHANG, Kaiyuan BAO, Wenyu ZHANG, Fan DING, Zongyi TONG, Fukang ZHOU

“…ObjectiveThe objective of this study is to solve the problem of large longitudinal spacing of fruit trees and the inavailability of global navigation satellite system (GNSS) signals in closed-canopy orchard environment. …”
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Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish by Elisa Myllylä, Pekka Siirtola, Antti Isosalo, Jarmo Reponen, Satu Tamminen, Outi Laatikainen

“…The lower performance in metastasis detection is likely due to the more complex problem, ambiguous labeling, and the smaller dataset size. …”
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Development of Time-Reversal Method for Impact Source Identification on Plate Structures by Chunlin Chen, Yulong Li, Fuh-Gwo Yuan

“…The results show that T-R method is robust against noise in impact location detection and force reconstruction in circumventing the inherent ill-conditioned inverse problem. …”
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Algal Blooms in Lakes in China Over the Past Two Decades: Patterns, Trends, and Drivers by Ying Wang, Lian Feng, Xuejiao Hou

“…Here, we developed an automated algal bloom surface scums (hereafter referred to as algal bloom) detection algorithm for Moderate‐Resolution Imaging Spectroradiometer (MODIS) images based on a normalized floating algal index and the Commission on Illumination colorimetry system. …”
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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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Resistant Hypertension: Questions and Contemporary Answers by V. I. Podzolkov, A. E. Bragina, K. K. Osadchiy

“…The authors offer an updated algorithm for the diagnosis and treatment of resistant hypertension, based on the sections of the latest clinical recommendations on this problem.…”
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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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B-Mode Photoacoustic Imaging using Linear Array: Numerical Study for Forward-Backward Minimum Variance Beamformer Combined with Delay-Multiply-and-Sum by Moein Mozaffarzadeh, Seyed Amin Ollah Izadi Avanji, Hamid Reza Jashnani

“…This is due to the fact that in the linear-array scenario, there is only 60 degrees view angle available to detect the photoacoustic waves, and due to the nature of photoacoustic waves, the problem is inherently a limited angle-view one. …”
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Gearbox Fault Diagnosis based on LMD Approximate Entropy and PSO-ELM by Zhang Yuxue, Pan Hongxia

“…For the detection and identification problems of common faults in the use of gearbox,considering the nonlinear,non-stationary properties of the gearbox vibration response signal,a method for the gearbox fault diagnosis based on local mean decomposition（ LMD） approximate entropy and PSO-ELM is proposed.Firstly,the LMD decomposition method is used for gearbox vibration signal,with correlation coefficient method extracted the first four PF components which contain the main fault information. …”
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Multiperson Target Dynamic Tracking Method for Athlete Training Based on Wireless Body Area Network by Diandian Du

“…Aiming at the problems of large tracking error and long tracking time in traditional multiperson target dynamic tracking methods, a new method based on wireless body area network for athlete training multiperson target dynamic tracking is proposed. …”
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