نتائج البحث

A MACHINE LEARNING SCREENING MODEL FOR PREDICTING THE DEVELOPMENT OF CERVICAL DENTAL LESIONS

• Authors : I. I. Zabolotna; T. L. Bogdanova; V. I. Azarenkov

Subjects: dental caries; dental erosion; ensemble learning

• Source: Клінічна та профілактична медицина, Iss 2, Pp 89-98 (2026)

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Machine learning models for student aviation speech analysis to improve flight safety

• Authors : S. P. Polyakova; N. A. Lebedeva; N. E. Lukicheva

Subjects: computational linguistics; machine learning (ml); discourse analysis

• Source: Вестник Тамбовского университета. Серия: Гуманитарные науки, Vol 31, Iss 2, Pp 325-339 (2026)

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Analysis of human visual field information using machine learning methods and assessment of their accuracy

• Authors : Medvedeva, A. I.; Bakutkin, V. V.

Subjects: Electrical Engineering and Systems Science - Image and Video Processing; Computer Science - Artificial Intelligence; Computer Science - Computer Vision and Pattern Recognition

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Prediction of in-hospital mortality in patients with cardioembolic stroke and atrial fibrillation using machine learning methods

• Authors : P. G. Vedeneev; N. G. Lozhkina; E. V. Domracheva

Subjects: cardioembolic stroke; atrial fibrillation; in-hospital mortality

• Source: Сибирский научный медицинский журнал, Vol 46, Iss 1, Pp 61-70 (2026)

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An AI-Driven Machine Learning Approach to Evaluating the Impact of Innovation Dynamics on SME Performance in the UAE

• Authors : Almansoori Sara Ismail; Araci Zehra Canan; Dweiri Fikri

Subjects: ai; machine learning; innovation capability

• Source: Management Systems in Production Engineering, Vol 34, Iss 1, Pp 103-110 (2026)

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A hybrid total electron content forecasting model based on autoencoders and classical machine learning algorithms

• Authors : Appalonov, Artem Mikhailovich; Maslennikova, Julia Sergeevna

Subjects: ionosphere; total electronic content; tec maps

• Source: Известия высших учебных заведений: Прикладная нелинейная динамика, Vol 34, Iss 2, Pp 286-298 (2026)

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THE STUDY OF THE EFFICIENCY OF ANOMALY DETECTION IN THE TELEMETRY OF INDUSTRIAL INTERNET OF THINGS SYSTEM NODES BY UNSUPERVISED MACHINE LEARNING METHODS

• Authors : Georgy A. Markov

Subjects: cybersecurity, anomaly detection, cyber-physical systems, unsupervised machine learning, isolation forest, autoencoder; Information technology; T58.5-58.64

• Source: Безопасность информационных технологий, Vol 33, Iss 2, Pp 158-167 (2026)

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THE USE OF LARGE LANGUAGE MODELS AND MACHINE LEARNING AS PART OF AN INTELLIGENT PROACTIVE INFORMATION SECURITY MONITORING SYSTEM

• Authors : Ivan O. Prokhorets; Vitaliy A. Shmatok; Mikhail A. Popov

Subjects: security operations center (soc), security information and event management (siem), machine learning, large language models, llm, proactive monitoring, information security; Information technology; T58.5-58.64

• Source: Безопасность информационных технологий, Vol 33, Iss 2, Pp 82-93 (2026)

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USING MACHINE LEARNING METHODS IN SOFTWARE CLONE DETECTION

• Authors : Nikita A. Gribkov; Denis V. Ivanov

Subjects: code analysis, software code similarity, syntactic and semantic analysis, machine learning; Information technology; T58.5-58.64

• Source: Безопасность информационных технологий, Vol 33, Iss 2, Pp 28-37 (2026)

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Development of a Prognostic Model for the Outcome of Viral Lung Disease Using Machine Learning Algorithms

• Authors : E. A. Borodulina; E. S. Vdoushkina; K. I. Shakhgeldyan

Subjects: risk factors; systemic analysis; pandemic

• Source: Инновационная медицина Кубани, Vol 11, Iss 1, Pp 7-15 (2026)

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