Combined L-Band Polarimetric SAR and GPR Data to Develop Models for Leak Detection in the Water Pipeline Networks by Yuyao Zhang, Hongliang Guan, Fuzhou Duan

“…The model features are selected with the Boruta wrapper algorithm based on the SAOCOM-1A images after pre-processing, and the SSRDC values at sampling locations within the research area are calculated with the reflected wave method based on the GPR data. …”
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Coherent beam combining of two all-PM thulium-doped fiber chirped pulse amplifiers by Bo Ren, Hongxiang Chang, Can Li, Tao Wang, Kaikai Jin, Jiayi Zhang, Kun Guo, Rongtao Su, Jinyong Leng, Pu Zhou

“…Taking into account the compression efficiency of 90% and the main peak energy proportion of 91%, the corresponding peak power is calculated to be 4 MW. …”
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NATURE AND FEATURES OF OCCLUSIVE INTERFERENCES IN PATIENTS WITH TEMPOMANDIBULAR DISORDERS AND STRATEGIC APPROACHES TO THEIR TREATMENT by A.Yu. Fetsych, T.I. Pupin

“… Based on the presented retrospective and modern literature data on the stages of development of the theory of temporomandibular disorders, methods of diagnosis and treatment of patients with this pathology, it is evident that there is a need to develop an algorithm for the examination of patients, with the aim of identifying the general picture of the pathology, which makes it possible to assess the condition and functioning of all the main anatomical formations of the chewing apparatus. …”
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Determination of Chatter-Free Cutting Mode in End Milling by Yuri Petrakov, Oleksandr Okhrimenko, Serhii Sapon, Maksim Sikailo, Dmytro Fedorynenko

“…Chatter accompanies the cutting process and is the main obstacle to achieving precision and productivity in milling operations. …”
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Machine Learning-Based Classification and Statistical Analysis of Liver Cancer: A Comprehensive Study of Model Performance and Clinical Significance by Pratyush Kumar MAHARANA, Tapan Kumar BEHERA, Pradeep Kumar NAIK

“…Several types of liver cancers are known, with the most common being hepatocellular carcinoma (HCC), which is the main type of liver cell called hepatocytes. Another less common type is cholangiocarcinoma, which originates in the bile ducts the liver. …”
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Performance evaluation of rock fragmentation prediction based on RF‐BOA, AdaBoost‐BOA, GBoost‐BOA, and ERT‐BOA hybrid models by Junjie Zhao, Diyuan Li, Jian Zhou, Danial J. Armaghani, Aohui Zhou

“…For this reason, optimized by the Bayesian optimization algorithm (BOA), four hybrid machine learning models, including random forest, adaptive boosting, gradient boosting, and extremely randomized trees, were developed in this study. …”
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An Approach for RGB-Guided Dense 3D Displacement Estimation in TLS-Based Geomonitoring by Z. Wang, J. A. Butt, J. A. Butt, S. Huang, N. Meyer, T. Medić, A. Wieser

“…Our method comprises three main steps: (1) applying the Efficient-LoFTR algorithm to establish dense 2D pixel correspondences on RGB images across two epochs; (2) projecting 3D points from both epochs onto RGB images and establishing 3D point correspondences by matching the projected pixels with the established 2D correspondences; (3) clustering the point cloud of one epoch and refining the 3D point correspondences within each cluster to produce the final displacement vector fields. …”
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Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review by Jie Li, Manli Zhu, Li Yan

“…The most commonly used machine learning algorithm is traditional logistic regression, followed by eXtreme gradient boosting. …”
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D. M. Ovsianyko-Kulikovsky as an Orthologist: the Cognitive-evolutionary Coverage by Sergiy Popov

“…The article proves that, defending the illogical agreement of such adjectives in the singular, the scientist demonstrates a superficial perception of such agreement as necessary only with regard to one, closest postpositive noun in the syntagm. The main provisions of the cognitive-evolutionary theory of language are revealed, the essence of which involves the algorithm "perception → logic of thinking → logic of language" and one of the central concepts of which is the concept of superficiality of perception as an orientation to the closest, most noticeable features of phenomena, the categorization of which is often erroneous. …”
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Energy saving and low carbon oriented renovation framework for educational buildings with Tianjin University case study by Xinge Du, Xiang Liu, Feng Gao, Zhihua Zhou

“…This study proposes a data-driven workflow that combines a genetic algorithm with a Bayesian optimization-based XGBoost model to optimize the retrofit design of educational buildings. …”
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Development of Advanced Positioning Techniques of UWB/Wi-Fi RTT Ranging for Personal Mobility Applications by Harris Perakis, Vassilis Gikas, Günther Retscher

“…An analysis of the performance of these techniques for ranging the positioning estimation using different fusion algorithms is assessed. The methodology applied for CP leverages the hybrid nature of the range measurements obtained by UWB and Wi-Fi RTT systems. …”
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Dynamic asymmetric assignment problem in open multi-agent systems by M. P. Revotjuk, N. V. Khajynova, A. P. Kuznetsov, L. Y. Shilin

“…The purpose of the work is to develop models and algorithms for optimizing matching in dynamically generated graphs of asymmetric relations in coordinated open systems of interacting agents with centralized and collective control. …”
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Computational hybrid analysis of drug diffusion in three-dimensional domain with the aid of mass transfer and machine learning techniques by Mohammed Alqarni, Ali Alqarni

“…Abstract Molecular diffusion of drugs is of major importance for development and understanding drug delivery systems. Indeed, the main phenomenon which is controlling the rate of release is molecular diffusion which can be controlled via different phenomena such as interactions with the drug carrier and solution. …”
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A Rapid Design Method for Centrifugal Pump Impellers Based on Machine Learning by Y. Chen, W. Li, Y. Luo, L. Ji, S. Li, Y. Long

“…Once these parameters are defined, the main dimensions of the impeller can be calculated. …”
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Application of Naive Bayes and Forward Chaining Methods in a Web-Based Expert System for Stunting Diagnosis in Toddlers by Ayu Fadilah, Raissa Amanda Putri

“…This method is a probability-based algorithm that is used to classify the possibility of a condition based on existing symptoms. …”
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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

“…Ultra-high-power electric arc furnace is the main equipment of modern smelting, but its low-frequency non-stationary inter-harmonics and high-power impact will seriously affect the power quality of distribution networks. …”
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COMPREHENSIVE CREDIT RISK ASSESSMENT OF UKRAINIAN BANKS by Larysa Hrytsenko, Liudmyla Pavlenko, Iryna Kozhushko, Onur Erişen

“…On the basis of a deep analysis of the Resolution of the National Bank of Ukraine No. 351, a detailed algorithm for calculating the amount of bank credit risk is proposed, and its main principles, which are important for the activities of domestic banks, are described. …”
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Robust Optimal Control for a Microbial Batch Culture Processes: Incorporating Free Terminal Time and Sensitivity Analysis by Yang Qi, Zheng Shijin, Xie Suzhen, Feng Enmin

“…Subsequently, we develop an improved particle swarm optimization algorithm to solve this equivalent problem. Finally, the trade-off between production efficiency and process robustness is systematically assessed through numerical simulations. …”
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High-Precision, Self-Powered Current Online Monitoring System Based on TMR Sensors Array for Distribution Networks by Zhengang An, Lei Zhang, Zhi Wang, Yanyun Fan, Zhiwei Zu, Zhengzhe Li, Dachao Li

“…In this study, we propose a high-precision, self-powered online current monitoring system that integrates a TMR sensors array module, a main control module, a current transformer (CT) power harvesting module, and current online monitoring software. …”
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New ways of developing Russian avant-garde idioms: a corpus-based approach by Irina V. Zykova

“…Their functioning was studied on the material from Russian National Corpus with the help of the elaborated analysis algorithm. The author proves that avant-garde idioms which appeared in the Cubo-Futurists’ manifestos, articles, poems, speeches, etc. have been spreading in different types of discourse (newspaper discourse, journalistic discourse, social networks, etc.). …”
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