This article provides a comprehensive scientific analysis of the fundamental and practical methodologies for identifying textsgenerated by Artificial Intelligence (AI) within academic and digital publishing ecosystems. The rapid maturation of generative languagearchitectures is fundamentally transforming traditional copyright paradigms and the principles of academic integrity. The primaryobjective of this research is to develop, test, and evaluate innovative methodologies for distinguishing synthetic data using NaturalLanguage Processing (NLP) and Machine Learning (ML) classification models. The study comparatively evaluates the effectivenessof stylometric feature extraction, zero-shot probability distribution analysis, and transformer-based deep learning classifiers. Empiricalresults confirm that traditional plagiarism systems based on exact lexical matching have completely lost their functional viability.Concurrently, the hybrid-ensemble architecture proposed in this study demonstrated high resilience against complex adversarialevasion attacks. The research findings serve as a critical guide for higher education institutions and scientific journals to optimize theirverification mechanisms and ensure academic honesty
| Mualliflar | Abdullaev , Munis, Kungratov, Ilmurod |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2026-06-01 |
| Jild | 2 |
| Son | 6 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.20780989 |
DOI: 10.5281/zenodo.20780989 · Maqolaning asl sahifasi
Synthetic, text, generative, architecture, natural, language, processing, transformer, academic, integrity, stylometry, verification, classifier, probability, algorithm
This article examines the strategic directions for improving and transforming the tax administration system in theRepublic of Uzbekistan. The study analyzes issues related to further improving the quality of taxpayer…
This study examines cellular aerated concretes based on polymer compositions and their standardization as lightweightconstruction materials for the construction industry of Uzbekistan. The results of large-scale…
This article analyzes the structural and factor decomposition of economic growth across the districts of Surxondaryoregion using the Solow–Swan dynamic growth model and the Cobb–Douglas production function. The study…
In the context of increasingly complex cyber threats, there is an urgent need for innovative approaches capableof effectively identifying and mitigating potential risks. Neural networks offer a promising solution to…
Real-time computer-vision systems deployed on edge platforms are constrained as much by the surrounding softwarepipeline and the host–accelerator interface as by raw compute. This paper presents a reproducible…
This article examines the theoretical, legal, and institutional foundations of managing state shares in businessentities in Uzbekistan. It analyzes the importance of corporate governance mechanisms in state-owned…
This study investigates the theoretical and practical aspects of developing and enhancing spatial information modelsfor sustainable regional development with consideration of environmental factors, using the Republic of…
This article examines the development of a logical-linguistic model of the noun category in the Koreanlanguage and the creation of an electronic database of prefixes and affixes attached to nouns. The study…
The relationship between university leadership styles and the development of an institutional quality assurance (QA)culture has become a central issue in higher education management. Although external accreditation…
This article examines the key methodological directions for developing a national economic developmentstrategy, emphasizing the importance of long-term vision, institutional reforms, macroeconomic stability…