Diagnostics of leaks with unknown amplitudes against the background of interference caused by accidental consumption in the hydraulic system for the forest complex by Sazonova Svetlana, Zolnikov Konstantin, Skvortsova Tatyana, Kravchenko Andrey, Zarevich Anton

“…The formation of algorithms for leak detection is considered. It is shown that the solution to the problem of specific leak detection may vary depending on the type of hydraulic system and the technologies used. …”
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Landslide and Collapse Susceptibility Analysis in Wenchuan Earthquake-damaged Area Based on Ensemble Learning Methods by DING Jiawei, WANG Xiekang

“…Then, two advanced ensemble learning algorithms (XGBoost and LightGBM) were applied alongside two traditional algorithms (logistic regression and random forest) to construct landslide and collapse susceptibility assessment models for Wenchuan County. …”
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Automated Construction and Mining of Text-Based Modern Chinese Character Databases: A Case Study of Fujian by Xueyan Jian, Wen Yuan, Wu Yuan, Xinqi Gao, Rong Wang

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A Unified Approach to Image Recognition and Cryptography via Flexible Weak Inverse Property Quasigroups by Mohammad Mazyad Hazzazi, Muhammad Nadeem, Muhammad Kamran, Muhammad Arshad, Samuel Asefa Fufa

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Identification of anaerobic bacterial strains by pyrolysis-gas chromatography-ion mobility spectrometry by Tim Kobelt, Jonas Klose, Rumjhum Mukherjee, Rumjhum Mukherjee, Martin Lippmann, Szymon P. Szafranski, Szymon P. Szafranski, Meike Stiesch, Meike Stiesch, Stefan Zimmermann

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Hurst exponent based approach for influence maximization in social networks by Bhawna Saxena, Vikas Saxena

“…For assessing the self-similarity trend in a node’s activity pattern, Hurst exponent (H) has been computed. Based on the results achieved, proposed algorithm has been found to perform better than other state-of-art algorithms for initial adopter identification.…”
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Frequency Characteristics of Rhythm Non-Assimilation in Canine Ventricular Fibrillation by M. I. Guryanov

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Classification of Hybrid and Peking Duck DOD Varieties Based on Feather Images Using CNN by Khoironi, I Wayan Rangga Pinastawa

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Data mining techniques for the study of online learning from an extended approach by José Manuel Sánchez-Sordo

“…Methodologically, an artificial intelligence algorithm for supervised learning (J48) was used to analyze the data of 336 participants with the aim of obtaining classification rules (patterns) of internet use. …”
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The Genetic Puzzle of the Stress-Induced Cardiomyopathy (Takotsubo Syndrome): State of Art and Future Perspectives by Domenico Lio, Letizia Scola, Giusi Irma Forte, Loredana Vaccarino, Manuela Bova, Patrizia Di Gangi, Giorgia Santini, Daniela di Lisi, Cristina Madaudo, Giuseppina Novo

“…The lack of a clear Mendelian inheritance pattern suggests a multifactorial etiology and pathogenesis, likely involving complex gene–environment interactions and a polygenic background. …”
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Co-Optimization of Market and Grid Stability in High-Penetration Renewable Distribution Systems with Multi-Agent by Dongli Jia, Zhaoying Ren, Keyan Liu

“…For EV integration, a differentiated scheduling strategy categorizes vehicles based on usage patterns and charging elasticity. The methodological innovations primarily include an enhanced scheduling algorithm for coordinated optimization of renewable energy and energy storage, and a dynamic coordinated optimization method for EV clusters. …”
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Integrated Vehicle Dynamics Modeling, Path tracking, and Simulation: A MATLAB Implementation Approach by Fatima Haidar, Abderaouf Laib, Syed Ali Ajwad, Guillaume Guilbert

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Non-compaction cardiomyopathy. Part II: limitations of imaging techniques and genetic screening, clinical observations by T. G. Vaikhanskaya, L. N. Sivitskaya, T. V. Kurushko, T. V. Rusak, O. D. Levdansky, N. G. Danilenko, O. G. Davydenko

“…A promising solution is the development of a multistep algorithm for the diagnosis of NCM with the integration of familial, morphological, genetic and clinical data.The article presents a brief literary review on NCM diagnosis with a discussion of own research and comparative characteristics of clinical and genetic data. …”
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Simulating Co-Evolution and Knowledge Transfer in Logistic Clusters Using a Multi-Agent-Based Approach by Aitor Salas-Peña, Juan Carlos García-Palomares

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Determining Promotions at UD. Jakarta Pixel using Web-Based FP-Growth Association Model by Lisa Elisia Potale, Muhammad Sabri Ahmad, Amal Khairan

“…Jakarta Pixel. The research results indicate that the FP-Growth algorithm successfully analyzes customer purchasing patterns, identifies relationships between frequently purchased products, and enables the store to design more targeted promotions according to customer preferences. …”
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Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

“…The application of Big Data Analytics is identified through the Cyber Research Alliance for cybersecurity as the foremost preference for future studies and advancement in the field of cybersecurity. …”
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Iterative approach for photonic crystal devices design by Pavel V. Mokshin, Dimitriy L. Golovashkin, Vladimir S. Pavelyev

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Spatial Regionalization of the Arctic Ocean Based on Ocean Physical Property by Joo-Eun Yoon, Jinku Park, Hyun-Cheol Kim

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Revealing the Influence of Semantic Similarity on Survey Responses: A Synthetic Data Generation Approach by Esko Lehtonen, Tommi Buder-Grondahl, Sina Nordhoff

“…Questionnaires are essential for measuring self-reported attitudes, beliefs, and behaviour in many research fields. Semantic similarity of the questions is recognized as a source of covariance in the human data, implying that response patterns partly arise from the questionnaire itself. …”
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Assessing the Soldier Survivability Tradespace Using a Single IMU by Matthew P. Mavor, Victor C. H. Chan, Kristina M. Gruevski, Linda L. M. Bossi, Thomas Karakolis, Ryan B. Graham

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