Showing 2,881 - 2,900 results of 3,083 for search 'life algorithm', query time: 0.19s Refine Results
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    Ethical Aspects of the Influence of Neural Networks on the Lives of Students in the Context of a Sociological Approach (using the Example of Students of the IT Department of ETU) by A. S. Kurapova, S. V. Kurapov, A. D. Derzhavina, N. V. Shatilo

    Published 2025-06-01
    “…The article is devoted to the analysis of the development and implementation of artificial intelligence systems, in particular neural networks, in the life of students. Their use can both open up new horizons and raise serious ethical questions, especially in the context of influencing young people and their educational trajectories. …”
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    Article
  4. 2884

    Gaps and Data Ambiguities in DNA Reference Libraries: A Limiting Factor for Molecular‐Based Biodiversity Assessments Using Annelids as a Case Study by Marcos A. L. Teixeira, Eva Aylagas, John K. Pearman, Susana Carvalho

    Published 2025-06-01
    “…These findings underscore the urgent need to expand regional reference libraries, apply integrative taxonomy and implement refined, user‐defined MOTU clustering algorithms to improve molecular biodiversity assessments in the region.…”
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    Article
  5. 2885
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    Application of statistical methods for predicting udp-flood attacks by M. V. Tumbinskaya, V. V. Volkov, B. G. Zagidullin

    Published 2020-08-01
    “…Web resources are an integral part of modern human life. Today, these resources are increasingly exposed to hacker attacks, such as the introduction of SQL operators, crosssite scripting, etc. …”
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    Article
  7. 2887

    Identification of glucocorticoid-related genes in systemic lupus erythematosus using bioinformatics analysis and machine learning. by Yinghao Ren, Weiqiang Chen, Yuhao Lin, Zeyu Wang, Weiliang Wang

    Published 2025-01-01
    “…<h4>Background</h4>Systemic lupus erythematosus (SLE) is a complex autoimmune disease that has significant impacts on patients' quality of life and poses a substantial economic burden on society.…”
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    Article
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    The Philosophy of Semar as an Ethical Framework for the Use of Artificial Intelligence by Mohamad Khusnial Muhtar, Naufal Robbiqis Dwi

    Published 2025-08-01
    “…<div>Artificial intelligence (AI) is a multidimensional phenomenon that profoundly impacts various aspects of&nbsp;<span style="font-size: 1rem;">modern human life. While global discussions on AI ethics have predominantly centered on Western&nbsp;</span><span style="font-size: 1rem;">perspectives, this study explores ethical AI development through the lens of Semar philosophy,&nbsp;</span><span style="font-size: 1rem;">representing the local wisdom of Nusantara. …”
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    Article
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    The importance of using mobile ultrasound devices in improving the quality and safety of emergency care, anesthesia and intensive care by A. A. Krishtafor, D. A. Krishtafor, O. V. Kravets, O. V. Pylypenko

    Published 2025-03-01
    “…Further expansion of the use of the POCUS concept and integration of ultrasound into life support algorithms are related to the development of available compact, highly sensitive ultrasound devices suitable for prehospital diagnostics.…”
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    Article
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    Therapeutic and Diagnostic Tactics for Metastases to the Lymph Nodes of the Neck without an Identified Primary Focus by M. I. Sokolova, V. I. Pavlova

    Published 2024-10-01
    “…Prospective multicenter studies are required to improve and optimize the algorithms for diagnosis and treatment of these patients.…”
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  13. 2893

    Phase tomography with axial structured illumination by Nishant Goyal, Kedar Khare

    Published 2025-01-01
    “…Holographic tomography (HT) or optical diffraction tomography provides slice-by-slice information about the refractive index (RI) of three-dimensional (3D) samples and is emerging as an important label-free imaging modality for life sciences. HT systems go beyond digital holographic microscopes (DHM) that provide a two-dimensional representation of the total accumulated phase acquired by a plane beam on transmission through a 3D sample. …”
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  14. 2894

    Pain sensitisation and joint inflammation in patients with active rheumatoid arthritis by Sam Norton, Bruce W Kirkham, James Galloway, Khaldoun Chaabo, Toby Garrood, Zoe Rutter-Locher, Estee Chan, Alex Vincent

    Published 2024-02-01
    “…We were unable to develop algorithms to identify different groups.Conclusion The unexpected group −FM−PD group may have peripheral nociplastic pain, not commonly recognised in rheumatology. …”
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    Article
  15. 2895

    Edge-based detection and localization of adversarial oscillatory load attacks orchestrated by compromised EV charging stations by Khaled Sarieddine, Mohammad Ali Sayed, Sadegh Torabi, Ribal Atallah, Chadi Assi

    Published 2024-02-01
    “…The proposed detection approach was evaluated by building a real-time test bed to synthesize benign and malicious data, which was generated by analyzing real-life EV charging data collected during recent years. …”
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    MANAGING THE DEVELOPMENT OF AGRO-INDUSTRIAL CLUSTERS by D. V. Zavyalov, O. V. Saginova, N. B. Zavyalova

    Published 2018-04-01
    “…The penetration of digital technologies into life is one of the characteristic features of the future world. …”
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    Article
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    Key gene screening and diagnostic model establishment for acute type a aortic dissection by Yue Pan, Zhiming Yu, Xiaoyu Qian, Xuesong Zhang, Qun Xue, Weizhang Xiao

    Published 2025-04-01
    “…BackgroundAortic dissection, particularly acute type A aortic dissection (ATAAD), is a life-threatening cardiovascular emergency with alarmingly high mortality rates globally. …”
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    Enhancing seizure detection with hybrid XGBoost and recurrent neural networks by Santushti Santosh Betgeri, Madhu Shukla, Dinesh Kumar, Surbhi B. Khan, Muhammad Attique Khan, Nora A. Alkhaldi

    Published 2025-06-01
    “…This study investigates machine learning and deep learning algorithms for seizure prediction, comparing their effectiveness on a large EEG dataset of epileptic patients. …”
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    Article
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    Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data by Tongtong Jin, Ayitijiang· Halili

    Published 2025-07-01
    “…A three-stage serial consensus approach feature selection framework (LASSO, Elastic Net, and Boruta) was employed to identify 21 robust predictors from 74 candidate variables. Ten ML algorithms were evaluated: LR, HistGBM, MLP, XGBoost, bagging, DT, LightGBM, RF, SVM, and CatBoost. …”
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    Article