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  1. 1461

    Artificial intelligence in predicting pathogenic microorganisms’ antimicrobial resistance: challenges, progress, and prospects by Yan Li, Xiaoyan Cui, Xiaoyan Yang, Guangqia Liu, Juan Zhang

    Published 2024-11-01
    “…Finally, we discuss new perspectives and solutions for research into microbial resistance through algorithm optimization, dataset expansion, and interdisciplinary collaboration. …”
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    Article
  2. 1462
  3. 1463

    Decision Support Technique Based on Spherical Fuzzy Yager Aggregation Operators and Their Application in Wind Power Plant Locations: A Case Study of Jhimpir, Pakistan by Ronnason Chinram, Shahzaib Ashraf, Saleem Abdullah, Pattarawan Petchkaew

    Published 2020-01-01
    “…In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under spherical fuzzy environments (SFE). …”
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    Article
  4. 1464
  5. 1465

    A computational approach to the study of interactions between proteins and miR10-b, miR-335, and miR-21 involved in breast cancer by Rahma Hammou, Yassine Kasmi, Moulay Ennaji

    Published 2019-12-01
    “…The main results demonstrate the ability of miR-10b, miR-335, and miR-21 to create direct interactions with 3D protein structures. …”
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    Article
  6. 1466
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    Machine learning approach for revealing the nickel grade and recovery optimization in reduction process of laterite ores by Vuri Ayu Setyowati, Fakhreza Abdul

    Published 2025-06-01
    “…With the increasing demand for energy-efficient processes, the selective reduction of laterite nickel ore, followed by ferronickel metal separation, has become the main focus. Researchers have studied and published many process variables or features to date. …”
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    Article
  8. 1468

    Intelligent cloud guidance technology based on natural language learning by Renjie TANG, Tao JIANG, Qiaojie YANG

    Published 2019-04-01
    “…The main problems existing in the current guidance system were analyzed.According to the intelligent guidance system researched in the current academic circles,a self-learning system for the disease which based on a large number of patient condition descriptions using a variety of machine learning algorithms was creatively proposed.The platform used Web crawler technology to obtain setting of the international and domestic medical institution departments and a large number of patient descriptions,which form a pathological knowledge base and a disease self-reported knowledge base.At the same time,the algorithm was innovatively constructed to combine the attention model with TextCNN to improve the accuracy of the consultation.…”
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  9. 1469

    Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

    Published 2023-12-01
    “…ObjectiveForecasting the asset prices in any market is an inseparable and critical part of research on markets. Obtaining a credible prediction of an asset's potential future price provides valuable information for investors. …”
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  10. 1470

    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

    Published 2020-11-01
    “…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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  11. 1471
  12. 1472

    Substantiation of the design and technological parameters of a multi-fan sprayer module by L. A. Marchenko, I. G. Smirnov, A. Yu. Spiridonov

    Published 2023-09-01
    “…As new technologies emerge, the demands placed on spraying ventilation systems are also evolving. (Research purpose) The objective of this research is to establish the design and technological specifications of the multi-fan sprayer module. …”
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    Optimal Configuration of Virtual Links for Avionics Network Systems by Dongha An, Kyong Hoon Kim, Ki-Il Kim

    Published 2015-01-01
    “…However, since previous research interests for AFDX are mainly bounded for analyzing the response time where flows information is given, configuration problem for both Maximum Transmission Unit (MTU) and Bandwidth Allocation Gap (BAG) over virtual links in AFDX networks has not been addressed yet even though it has great impact on required bandwidth. …”
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  15. 1475

    Use artificial neural network to recommend the lumbar spinal endoscopic surgical corridor by Chien-Min Chen, Pei-Chen Chen, Ying-Chieh Chen, Guan-Chyuan Wang

    Published 2022-01-01
    “…Objectives: The transforaminal and interlaminar approaches are the two main surgical corridors of full endoscopic lumbar surgery. …”
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    Article
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