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Personalized nail services: the role of artificial intelligence in creating personalized nail designs
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Bibliographic description of the article for the citation:

. Personalized nail services: the role of artificial intelligence in creating personalized nail designs//Science online: International Scientific e-zine - 2025. - №4. - https://nauka-online.com/en/publications/other/2025/4/02-38/

Annotation: This paper studies the implementation of artificial intelligence (AI) in creating personalized nail services. The promotion presents an analysis of contemporary technologies-namely, machine learning and natural language processing in the development of an exclusive pattern of nail designs that will be based on the personal preferences of a particular client. An account is given of how data can be collected through social networks and survey platforms, the following analysis of which supports the establishment of a custom solution for the clientele. An overview of existing technological platforms in the beauty industry used to achieve similar goals is presented with an eye to prospects for this sector’s development, thereby including, among other things, 3D printing and augmented reality technologies. The paper also contains the major barriers of the proposed innovations' integration into practice. The study brings out the potential application of AI as a tool to improve service quality and customer satisfaction in the beauty sector. This publication will capture the attention of beauty industry professionals: manicurists and owners of salons incorporating innovative methodologies into their practice. It can also prove handy for researchers and developers within the realm of artificial intelligence and machine learning, explicitly for those working on applications in cosmetology. Moreover, this content may draw the interests of marketers and analysts - those who explore consumer trends and the influence of social networks on consumer behavior, now within the aesthetic services arena.

Keywords: artificial intelligence machine learning manicure nail design personalized services
Categories: Other
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Application of demand forecasting models in inventory management
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Bibliographic description of the article for the citation:

. Application of demand forecasting models in inventory management//Science online: International Scientific e-zine - 2025. - №3. - https://nauka-online.com/en/publications/economy/2025/3/08-20/

Annotation: The study focuses on improving inventory management efficiency through accurate demand forecasting. It provides an overview of key statistical methods (ARIMA, exponential smoothing) and modern machine learning techniques (decision trees, neural networks), along with their hybrid versions. The impact of forecast accuracy on critical logistics aspects—inventory levels, safety stock, turnover rates, and shortage risks—is examined. Successful implementation practices in leading companies are analyzed, highlighting the economic benefits achieved. The author's contribution includes recommendations on selecting and adapting models to the specifics of logistics processes, as well as proposals for integrating demand forecasting with other elements of supply chain management.

Keywords: ARIMA demand forecasting forecast accuracy inventory management logistics machine learning neural networks supply chain
Categories: Economy
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Defining the gender of the author of the short text by machine learning methods
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Bibliographic description of the article for the citation:

. Defining the gender of the author of the short text by machine learning methods//Science online: International Scientific e-zine - 2019. - №11. - https://nauka-online.com/en/publications/technical-sciences/2019/11/opredelenie-pola-avtora-korotkogo-teksta-metodami-mashinnogo-obucheniya/

Annotation: This article discusses the use of machine learning methods for classifying texts by the author's gender in the example of short stories written in Russian. The algorithm and process of data preparation were demonstrated, training and testing of the Bayesian classifier were performed to distinguish the gender of the author of the text. The results of determining the gender of the authors are presented and conclusions are drawn about the advantages and disadvantages of the presented approach.

Keywords: author category classification machine learning regression style traits категорія автора класифікація классификация машинне навчання машинное обучение регресія регрессия стилевые признаки стильові ознаки
Categories: Technical sciences
654 Comments off Read online

Cryptocurrency forecast based on fundamental analysis
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Bibliographic description of the article for the citation:

. Cryptocurrency forecast based on fundamental analysis//Science online: International Scientific e-zine - 2018. - №5. - https://nauka-online.com/en/publications/technical-sciences/2018/5/prognozirovanie-kursa-kriptovalyut-na-osnove-fundamentalnogo-analiza/

Annotation: A scheme has been imposed, which allows forecasting cryptocurrency rate with accuracy of 20-50% and predicting trend with accuracy up to 00%. It is focused on fundamental analysis, based on the activity of Twitter users.

Keywords: cryptocurrency forecast fundamental analysis machine learning neural networks regression машинне навчання машинное обучение нейронні мережі нейронные сети прогноз курса криптовалют прогноз курсу криптовалют регресія регрессия фундаментальний аналіз фундаментальный анализ
Categories: Technical sciences
3393 Comments off Read online

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