Properties of the SURE Estimates When Using Continuous Thresholding Functions for Wavelet Shrinkage by Alexey Kudryavtsev, Oleg Shestakov

“…Wavelet analysis algorithms in combination with thresholding procedures are widely used in nonparametric regression problems when estimating a signal function from noisy data. …”
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Synergizing TabNet and SHAP for PM10 Forecasting: Insights From Makkah, Saudi Arabia by Abdulrazak H. Almaliki, Afaq Khattak

“…This study utilizes the TabNet model to estimate PM10 concentrations, taking advantage of its ability to perform sparse feature selection and sequential decision-making to uncover complex relationships among different environmental variables. …”
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Evaluating learning management system and e-learning modules in maritime education by Emeliza Torrento Estimo, John Erll N. Destacamento

“…The data also revealed certain problems and difficulties and suggestions for improvement.…”
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Robotic arm target detection algorithm combined with deep learning by ZHANG Lei, ZHANG Wang, YUAN Yuan

“…Existing target detection algorithms deployed on robotic arms would occupy a large amount of system resources, have poor real-time detection performance, and have a large number of model parameters. To address these problems, an improved YOLOv5 target detection algorithm was proposed. …”
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Development of a Textbook in the Modern Educational and Scientific Mathematical and Informatics Environment of Higher Education Students by Marianna Kovtoniuk, Olena Soіa, Olena Kosovets, Ivanna Leonova

“…The article deals with the problems of modelling and functioning of a textbook (digital textbook) as an integral part of the educational and scientific mathematical and informatics environment of higher education. …”
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A Benchmark Dataset for Aircraft Detection in Optical Remote Sensing Imagery by Jianming Hu, Xiyang Zhi, Bingxian Zhang, Tianjun Shi, Qi Cui, Xiaogang Sun

“…The problem is that existing aircraft detection datasets rarely simultaneously consider the diversity of target features and the complexity of environmental factors, which has become an important factor restricting the effectiveness and reliability of aircraft detection algorithms. …”
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Applications of tunable-Q factor wavelet transform and AdaBoost classier for identification of high impedance faults: Towards the reliability of electrical distribution systems by S. Ramana Kumar Joga, Pampa Sinha, Vasupalli Manoj, Srinivasa Rao Sura, Vasudeva Naidu Pudi, Nagwa F. Ibrahim, Abdulaziz Alkuhayli, Mahmoud M. Hussein, Usama Khaled, Daniel Eutyche Mbadjoun Wapet, Abderrahmane Beroual, Mohamed Metwally Mahmoud

“…Traditional overcurrent protection relays frequently have lower fault current levels than normal current, making it exceedingly difficult to detect this HIF problem with the necessity to use a quick and effective approach to find HIF problems. …”
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An Enhanced Human Evolutionary Optimization Algorithm for Global Optimization and Multi-Threshold Image Segmentation by Liang Xiang, Xiajie Zhao, Jianfeng Wang, Bin Wang

“…Finally, the CLNBHEOA was applied to solve six multi-threshold image-segmentation problems. The experimental results indicated that the CLNBHEOA achieved a winning rate of over 95% in terms of fitness function value, peak signal-to-noise ratio (PSNR), structural similarity (SSIM) and feature similarity (FSIM), suggesting that it can be considered a promising approach for multi-threshold image segmentation.…”
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Medical and physiological characteristics of divers’ specific diseases by A. P. Kazmirchuk, Ye. V. Moiseyenko, I. S. Trinka, A. V. Shvets

“…Improving medical support and preserving the health of divers has a preventive focus and is based on the use of known pathogenetic mechanisms of the development of specific diseases and the features of the biological effect on the body of numerous factors of the underwater hyperbaric environment. …”
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Assessment of the Impact of the Covid-19 Pandemic on the Incomes and Adaptation of the Population of the Region To It: Statistical Approach by N. D. Kremlev, I. A. Drozdova

“…The relevance of the study is connected with the problems of reflecting the pandemic, searching for patterns and its interrelations with incomes, health, living conditions of the population. …”
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Russian church diaspora in independent Finland of the interwar period by Tatyana Shevchenko

“…There were also specifi c features which are described in the article. During the years 1917–1939, about 44,000 refugees from Soviet Russia moved to Finland, many of them later went on to Europe and America. …”
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Smart indoor monitoring for disabled individuals using an ensemble of deep learning models in an IoT environment by Faisal S. Alsubaei, Abdulrahman A. Alshdadi, Mohammed Rizwanullah

“…Besides, the Improved Osprey Optimization Algorithm (IOOA)-based feature selection is employed to classify the most relevant features, enhancing the efficiency of the system by reducing dimensionality. …”
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Indicators of socio-psychological adaptation and emotional status of adolescents and adolescents by L. S. Evert, T. V. Potupchik, N. Yu. Grishkevich, Yu. R. Akhmeldinova

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Real-time monitoring and optimization of machine learning intelligent control system in power data modeling technology by Qiong Wang, Zuohu Chen, Yongbo Zhou, Zhiyuan Liu, Zhenguo Peng

“…Recursive feature elimination method can be used for feature selection in the model, and multi-model integration method can be used for feature fusion. …”
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Peculiarities of the morphology of the fish stomach by T. Kot, O. Pysanko

“…In general, the described anatomical features of the stomach of fish are relevant both for the comparative anatomy of fish of different classes. …”
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Towards a more robust representation of lithic industries in archaeology: a critical review of traditional approaches and modern techniques by Looten, Julien, Gravina, Brad, Muth, Xavier, Villaeys, Maxime, Bordes, Jean-Guillaume

“…These visual representations are designed to highlight the most characteristic typological and technological features of a given assemblage. However, the selection of pieces to illustrate is dictated by constraints of time, budget, or space. …”
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Few-shot Named Entity Recognition via encoder and class intervention by Long Ding, Chunping Ouyang, Yongbin Liu, Zhihua Tao, Yaping Wan, Zheng Gao

“…However, prior knowledge may become a confounding factor affecting the relation between sample features and real labels. This problem leads to bias and difficulty accurately capturing class. …”
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Evolution of Forensic Accounting in Russia as a Special Branch of Economic Knowledge by Zhanna A. Kevorkova

“…The essence of forensic accounting as a science is considered not only through the definition, economic content, goals and objectives, but also by taking into account the historical aspects to identify its characteristic features in every period of evolutionary development. …”
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Main control factors affecting mechanical oil recovery efficiency in complex blocks identified using the improved k-means algorithm. by Qiuyu Lu, Suling Wang, Minzheng Jiang, Yanchun Li, Kangxing Dong

“…Finally, the initial centre point selection of the k-means algorithm problem was solved by combining the dbscan and weighted k-means algorithm. …”
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Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework. by Máté Mohácsi, Márk Patrik Török, Sára Sáray, Luca Tar, Gábor Farkas, Szabolcs Káli

“…Neuroptimus also offers several features to support more advanced usage, including the ability to run most algorithms in parallel, which allows it to take advantage of high-performance computing architectures. …”
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